Swedish Institute for Social Research (SOFI)

Size: px
Start display at page:

Download "Swedish Institute for Social Research (SOFI)"

Transcription

1 Swedsh Insttute for Socal Research (SOFI) Stockholm Unversty WORKING PAPER 7/2007 ARE WOMEN ASKING FOR LOW WAGES? GENDER DIFFERENCES IN WAGE BARGAINING STRATEGIES AND ENSUING BARGAINING SUCCESS by Jenny Säve-Söderbergh

2 Are Women Askng for Low Wages? Gender Dfferences n Wage Barganng Strateges and Ensung Barganng Success * Revsed May 2007 Jenny Säve-Söderbergh The Swedsh Insttute for Socal Research Unverstetsvägen 10 E Stockholm Unversty, Sweden. Emal: [email protected] Abstract Men and women s labor market outcomes dffer along pay, promoton and compettveness. Ths paper contrbutes by uncoverng results n a related unexplored feld usng unque data on ndvdual wage barganng. We fnd strkng gender dfferences. Women, lke men, also bargan, but they submt lower wage bds and are offered lower wages than men. The adjusted gender wage gap s lower wth postedwage jobs than wth ndvdual barganng, although less s ascrbable to the term assocated wth dscrmnaton. Both women and men use self-promotng, or compettve barganng strateges, but women self-promote at lower levels. Employers reward self-promoton but the larger the self-promoton, the larger s the gender gap n barganng success. Women therefore lack the ncentves to self-promote, whch helps to explan the gender dspartes. Keywords: Indvdual Wage Barganng, Compettveness, Barganng strateges, Self-promotng Barganng Strateges, Gender Wage Gap, and Dscrmnaton. JEL codes: M51, M52, J31, J16, * I would lke to thank Anders Björklund, Nabanta Datta Gupta, Lena Granqvst, Carolne Hoxby, Ethan Kaplan, Helena Persson, Mkael Prks, Åsa Rosén, Annka Sundén, Eskl Wadensjö and semnar partcpants at the IZA Summer School 2000, the Swedsh Insttute for Socal Research, the Department of Economcs at Stockholm Unversty, the Congress of the European Economc Assocaton n Stockholm and the 15 th annual EALE conference n Sevlle for valuable comments. I am also very grateful to Jusek for provdng the data. The usual dsclamer apples.

3 1 Introducton The labor market outcomes of men and women dffer along a varety of dmensons. Even after controllng for a broad range of demographc and background characterstcs, women earn sgnfcantly less than men do (see e.g. Altonj and Black 2000; Blau & Kahn, 2003, for an nternatonal comparson; Edn & Rchardson, 2002, and Albrecht et al, 2003, for Sweden 1 ). Women are also less lkely to have top-rankng postons (Bertrand & Hallock, 2001) and to have lower career moblty (Granqvst & Persson, 1999). Standard economc explanatons for such occupatonal dfferences nclude preferences, dscrmnaton and ablty. Common explanatons for women havng preferences dfferent from men, and thereby choosng to enter low-payng jobs, often emphasze women s role n the famly, whch affects ther human captal nvestment and career choces. Another common explanaton s dscrmnaton or antcpated dscrmnaton lmtng women s labor market opportuntes. Fnally, some argue that men and women dffer along unobservable dmensons of sklls, where these unobservable dfferences develop nto dsparate labor outcomes. In ths paper, several of these ssues are addressed by nvestgatng gender dfferences on the labor market from a new perspectve; that of ndvdual wage barganng. In partcular, we examne whether men and women dffer n the barganng strateges they use and whether the ensung barganng success, or the pay-off to a strategy, dffers by gender. Emprcal evdence on gender dfferences n real wage barganng s lmted. 2 The study therefore contrbutes by uncoverng results n an unexplored feld. 3 Nonetheless, ndvdual 1 As n most countres, the average raw gender wage gap n Sweden has narrowed snce the 1960s. In 1968 the average raw gender wage gap was almost 30 percent whle the equvalent for 1991 was 20 percent. However, snce 1991 the raw gender wage gap has ncreased slghtly (Albrecht et al, 2003). These developments are manly drven by correspondng developments n the overall wage dstrbuton (Edn & Rchardsson, 2002). 2 One mportant excepton s Babcock (2003) who provdes nterestng results and anecdotes. 3 Many studes, theoretcal as well as emprcal, have focused on the barganng power of unons. When t comes to post-employment wage barganng there s a vast amount of lterature, especally n the feld of personnel economcs and wth partcular emphass on the employers concerns. 2

4 barganng over wages s one of the man components of the nteracton n the labor market. If gender dfferences n barganng strateges exsts and the ensung outcomes dffer, t may suggest an explanaton to why women are less represented n compettve workng envronments, less represented n hgh payng jobs, or are less lkely to compete for promoton. The data explored s a unque dataset from two Swedsh surveys conducted n 1999 and 2000, whch nclude recent graduates wthn the socal scences. The data contans of a homogenous populaton where all are young graduates wth short labor market careers. Ths lmts ssues of selecton due to career nterruptons for famly concerns, job changes, or partcpaton selecton. In addton, the surveys ncorporate mportant control varables for dfferences n labor market opportuntes, outsde optons and ndvdual attrbutes. In the survey, respondents were asked to report whether they were asked to state an explct wage bd at the tme of applcaton for the ntal job they got wthn ther feld of major, and f so, the level of the wage bd. Moreover, they were asked to state the offered wage, or n ths case, the equvalent wage they accepted. Some respondents reported not beng asked about a wage bd, and hence are assumed to have appled for a job wth posted wages. The data thus allows for comparsons usng the posted wage group as a control group. In order to establsh whether or not there are gender dfferences n barganng and n barganng outcomes, we focus on four ssues. The frst ssue analyzed s whether there are gender dfferences n the propensty to choose to apply for a job wth wage barganng as a part of the applcaton process, compared to choosng a job wth a posted wage. Prevous studes have found that women are less lkely than men to ntate negotatons (Babcock & Laschever 2003; Babcock et al 2006). Recent expermental research has also shown that women choose compettve pay-offs to a lesser extent than men, (Datta Gupta et al, 2006; Nederle & Vesterlund, 2005). Women may addtonally not choose to bargan f they are more rsk averse 3

5 than men, as suggested by some research (e.g. Janakoplos & Bernasek, 1998; Powell & Ansc, 1997; Sundén & Surette, 1998). In Datta Gupta et al (2006) one explanaton to women not choosng a compettve pay-off s a hgher rsk-averson. The second ssue nvestgated s whether men and women submt dfferent wage bds. Women may submt lower wages than men do f they face dfferent labor markets, and/or f they have dfferent outsde optons. Women could face a monopsonstc labor market, a hgher level of famly responsbltes, or they may be restrcted n choosng a job due to a husband-and-wfe coordnaton of job locatons, all causng a downward pressure on female wage bds. Yet, consderng that the average age for women n Sweden at ther frst marrage was 29.9 n 1998 and 30.4 n 1999, and the equvalent for men was 32.4 and 32.9 (Statstcs Sweden, 2000), such consderatons should not be too predomnant for the ndvduals n the sample where women (men) are 27 (28) years on average. Lkewse, the average age for females havng ther frst chld n Sweden was approxmately 28.5 years n both 1999 and 2000 (Statstcs Sweden, 2000). Therefore, gven the relatvely hgh age, along wth Sweden havng generous publc parental chld-care benefts (wth a share earmarked for the father), the choce of jobs should not be too dfferent between men and women n the sample. Thrd, we explore the use of self-promotng barganng strateges. Assume that employers beleve the wage bd reveals nformaton on a personal attrbute of the applcant, whch s not observable. The extent of overbddng a smlar applcant, that s, submttng a hgher wage bd than an applcant wth dentcal observable attrbutes who bargan for the same type of job, or underbddng a smlar applcant, then reveals the ndvdual s evaluaton of these personal attrbutes. Overbddng could thus be consdered as a self-promotng strategy or compettve strategy though assumed to be upperly bounded by a loss n credblty, and thereby by the loss of the job opportunty. 4

6 The self-promotng strategy s assumed to reflect a self-assessed evaluaton of the applcant s unobservable productvty. A lower value than a smlar applcant, and to some extent a hgher value, would thus sgnal a lower, or hgher, unobservable productvty. Ths s supported by emprcal evdence suggestng that underbddng (and to some extent overbddng) market wages have been nterpreted to be sgnals of lower (hgher) productvty, (see Agell & Lundborg, 1995 and 2003, for survey evdence; and Fehr & Falk, 1999, for expermental evdence). Alternatvely, a self-promotng strategy could reveal preferences on compettveness or be taken to reveal preferences on rsk-takng such that hgh-rsk takers are those who also dare to overbd more. Followng socologcal research we may expect gender dfferences n employng such strateges. A well-documented tendency n socologcal research (see Smth & Powell, 1990, for further references) s that people often self-enhance ; they postvely dfferentate between ther own characterstcs or behavors relatve to the same characterstcs and behavors n other people. 4 Accordng to ths lne of research men tend to self-enhance to a greater extent than women do. Therefore men may have a hgher estmaton of ther personal ablty and thus would self-promote or overbd to a larger extent. 5 An alternatve explanaton s that men and women could be treated dfferently f they bargan. Bowles (2005) suggests that barganng poses a challenge for women because t calls for a type of domnatve masculne behavor (compettve asserton of one s self-nterest) that 4 Another explanaton could of course be that men and women have an objectve dfference n ablty, such that women have worse unversty performance and/or lower grades. As a matter of fact, the emprcal evdence suggests the opposte. In a report on all Swedsh unversty graduates for 1995/1996, t s found that women had a hgher performance score (number of credts acheved per semester) of 85 percent whle the equvalent for men were 80 percent. If only lookng at the socal scence majors, the gender dfference was 6 percent. Moreover, 18 percent of the women compared to 12 percent of the men were found n the upper end of the hgh-school grade dstrbuton, wth grade averages hgher than 4.0 (on a scale between 1.0 to 5.0), Statstcs Sweden and the Natonal Board for Hgher Educaton (1998). 5 Parallelng these fndngs regardng a dfference n subjectve ablty ratng, females appear to expect less n terms of wage gans due to possesson of a college degree (Brunello et al, 2004). Female students expect both sgnfcantly 5

7 contradcts the prescrptve norms of femnne behavor. The study also found that women who choose to bargan where evaluated as less nce and napproprately demandng (but not as less competent), whle ths was only true for males f barganng wth a male evaluator. Fourth, and fnally, we want to assess f men and women are equally successful gven the same self-promotng strategy, all observable characterstcs equal. Psychologcal lterature has found that women tend to be more cooperatve n barganng than men (see Walters et al, 1998, for a meta-analyss on the ssue), although the dfference s slght. If women are more cooperatve ether by nature or through socalzaton, or f they are perceved as beng more cooperatve, then they may not be equally rewarded, even for the same barganng strategy. Holm (2000) also fnds that both men and women tended to behave sgnfcantly more hawkshly (or non-cooperatvely) towards women when barganng, although ths knd of dscrmnaton aganst women worked as a coordnaton devce that boosted the earnngs of both sexes. 6 Agell & Bennmarker (2002) also found that frms wth a large share of female employees were less lkely to beleve that employees, who were unhappy about ther pay, would respond by reducng ther own efforts. Thus, even f women would enjoy a lower return from ther barganng, and would thus be less successful, employers may feel they wll not respond by reducng ther efforts to the same extent that men would. 7 lower startng salares after graduaton and beleve ther prospects to be worse, even f they rank themselves as hghly as the equvalent male rates hmself (see also Betts 1996). 6 Hultn & Szulkn (1999) also found that gender wage dfferentals are affected by the gender composton of an establshment s manageral staff. The negatve effect on women s wages due to a hgh male representaton among managers and supervsors was three tmes as strong wthn organzatons wth a hghly decentralzed wage-settng process than t was for females n general. The data n ths paper, however, reveals no nformaton on the sex of the employer. 7 In an effcency-wage experment, Schweren (2002) however, found that the average wage asked for by men and women was the equvalent but that women were offered lower wages after barganng. Moreover, men recprocated by makng more effort for hgh wage offers than women dd, but ths was manly a consequence of women not beng offered wages n the same range. 6

8 The emprcal analyss of the four ssues reveals strkng fndngs. We frst establsh that women actually choose a job where barganng s nvolved to the same extent as men do. Ths result thus dffer from prevous fndngs on women beng more prone to avod stuatons wth compettve pay-offs. Second, women consstently submt lower wage bds than men do, also when controllng for mportant job and ndvdual attrbutes. Thrd, as found by many prevous studes, women receve lower wages than men do. Interestngly, although wages are hgher for both men and women who have barganed, ex post, barganng for wages results n a hgher unadjusted gender wage gap by one percentage pont, wth the gap beng 0.95 for those applyng for posted wage and 0.94 for those who chose to bargan. Also after adjustng the wage gap to account for mportant job and ndvdual attrbutes, the dfference between the groups reman at one percentage pont. Yet, n a wage-decomposton (Blnder 1973; Oaxaca 1973), we fnd that the term commonly ascrbed to dscrmnaton explans less among those who barganed, 55 percent of the gender wage gap, whle for those who chose posted wages, the smlar term explan 68 percent of the wage gap. Thus, a falure to acknowledge ndvdual wage barganng may overestmate the gender wage gap typcally ascrbed to wage dscrmnaton. The use of self-promotng strateges also dffers by gender. Women do not necessarly use self-promotng strateges less often than smlar men do, but they do so at lower levels. Restrctng the sample nto those who strctly overbd a smlar canddate, women overbd by 9.4 percent, compared to men who overbd by 12.9 percent, on average. In general, self-promotng strateges are rewarded by employers. Overbddng has a postve effect on the barganng success, that s, the amount addtonally offered to the applcant relatve to a smlar applcant. Women, however, receve a lower pay-off relatve to men from the same self-promotng strategy. The results may parallel the fndngs on recprocal wage-settng 7

9 found n Agell & Bennmarker (2002). But quantle regresson estmates reveal that gender dfferences do not exst n the 25 th quantle of barganng success, and that t s n partcular n the 75 th quantle where gender dfferences are largest. Consequently, n a barganng stuaton where the scope for mprovng the wage offer by a self-promotng strategy s hgh, women are less successful than men are from beng self-promotng. In summary, the lower pay-off to overbddng thus creates weaker ncentves for women to employ self-promotng strateges. Even though women choose to self-promote, ther strateges are ether consdered as less credble compared to smlar males strateges, or there s a glasscelng on the value of a self-promotng or compettve strategy for women. Hence the result may explan why women refran from enterng compettve workng envronments, or are less represented n hgh-payng jobs. The paper s organzed as follows. Secton 2 descrbes the data. Secton 3 presents the emprcal model and Secton 4 the results. Secton 5 offers some concludng remarks. 2 Data The data set s derved from two surveys conducted n 1999 and 2000 by Jusek, 8 a Swedsh trade unon for whte-collar workers. The ndvduals n the surveys were unversty graduates as at September and September who had receved at least three years unversty educaton. They should further have majored n one of fve felds: law, busness admnstraton and economcs, computer and systems scence, personnel management or socal scence. Only ndvduals who fulfll the above requrement and who were born later than 1964 are ncluded n 8 The Swedsh Assocaton of Graduates n Law, Busness Admnstraton and Economcs, Computer and Systems Scence, Personnel Management and Socal Scences. 8

10 the survey sample. 9 The data set ncludes 1911 ndvduals from the 1999 survey and 2054 from the 2000 survey. Two wage varables are used n the analyss. 10 The frst s the applcant s wage bd, that s, the wage asked for f employment were to occur (to the employer they accepted workng for). The second wage varable s the offered wage (or startng salary) at the tme when employment begns. Both these are gven as monthly gross wages. 11 For those who work part tme the survey explctly states that the wage should be converted nto a full-tme monthly gross wage. For the analyss of ndvduals who have stated an explct wage bd the number of observatons s reduced to 2112 for the pooled sample, wth 1022 from 1999 and 1090 from In the pooled sample there are 57 percent women and 43 percent men. Table 1 presents summary statstcs for the wage data. The frst noteworthy fndng s that, dvdng the sample nto those who chose jobs where wage barganng was a part of the applcaton process, we fnd that man and women equally lkely to choose such jobs. The share of women who choose jobs wth barganng s 54 percent and the equvalent for men s 53 percent wth any statstcally sgnfcant dfference rejected n a t test. Ths s partcularly nterestng as Babcock & Laschever (2003) fnd that only 7 percent of women compared to 57 percent of men tred to mprove ther ntal wage offer by negotaton. Moreover, n Gneezy et al 9 The response rate for the 1999 survey was 63 percent of the total of 4000 graduates between September 1997 and September 1998, and n the 2000 survey the response rate was 63 percent out of 4500 graduates between September 1998 and September A thrd wage measure, the current wage, s also avalable n the survey. As ths measure was gven drectly after the questons on the wage bd and the offered wage, the error of reportng the offered wage as the current wage should be mnmzed. 11 The gross monthly wages are used rather than an hourly wage measure. Even though the surveys nclude nformaton on hours worked per week, the measure s ambguous due to the formulaton of the queston, whereby the respondents cannot mark up exactly 40 hours worked per week. Ether they must choose work less than 40 hours or hours per week. The excluson of the alternatve exactly 40 hours may thus have meant that respondents msclassfed ther workng hours. As ths s the only measure of part-tme work avalable n the data, ndvduals who work part tme wll be treated as f they work full tme. In addton, ndvduals who have stated a wage bd below SEK are excluded (3 ndvduals), snce the wage bd s more lkely to refer to part-tme than to full-tme employment. 9

11 (2003) & Datta Gupta et al (2006) t s found that women choose a compettve pay-off to a lower extent than women do. The second noteworthy fndng s that women on average submt lower wage bds. The average wage bd for the pooled sample n gross monthly wages for women s SEK (appr US $ 2600), whle the equvalent for men s SEK (appr US $ 2750). Thus the unadjusted relatve wage bd for women s approxmately 94.7 percent of the same bd for men, and the dfference s statstcally sgnfcant at the 99 percent level. Furthermore, men have a larger spread n ther wage bds. These gender dfferences n wage bddng also apply for both years separately. The thrd fndng s that offered wages are also lower for women on average. For men, the average offered wage s SEK (appr US $ 2665), whle for women t s SEK (appr US $ 2502), wth a statstcally sgnfcant dfference at the 99 percent level. The unadjusted relatve wage offer for women s thus approxmately 94.0 percent. Comparng these fndngs wth those who chose jobs wth posted wages, we fnd a smlar dfference n men s and women s wage offers wth a statstcally sgnfcant dfference. However, the gender wage gap for applcants to jobs wth posted wages s lower. Consequently the prelmnary results pont toward an ncrease n the gender wage gap followng ndvdual wage barganng. Nonetheless, wage offers are consderably hgher both for men and women who chose to ndvdually bargan over ther wages compared to those choosng posted wage offers. Between men who barganed and men who dd not, wage offers are sgnfcantly hgher, also statstcally, for the former group. The same result s found wthn the female group. Hence, although gender wage dfferentals are hgher wthn the group who barganed, as compared wth those who dd not, wages are consderably hgher n the former group. Thus smlar to Datta Gupta et al (2006) 10

12 we fnd that women are more lkely to choose a compettve pay when the economc ncentves are hgher. However, as the fndng refers to the unadjusted wage dfferentals, several other factors could explan the hgher wages subsequent to barganng and the ncreasng gender wage dfferentals. 3 Emprcal Model 3.1. Adjusted Wage Gaps To establsh whether dfferences n the gender wage gap preval f we adjust for crucal wagegeneratng characterstcs a standard Mncer wage model s estmated where: W OFF β 5 = δ + β FEMALE + β MAJOR + β EXPERI + β AGE + SECTOR + + β CONTRACT + β 7TRAINEE + β 8METRO + β 9S υ [1]. MAJOR represents the dfferent felds of major to ndcate the hghest educatonal level completed by the applcant. Prevous job experence, EXPERI, s also ncluded as job experence may ncrease productvty. In both of the surveys subjects were able to ndcate whether they had had any employment between graduaton and the current poston, thus coverng postgraduate work only. In the 2000 survey respondents could also ndcate whether or not ther work was qualfed or unqualfed (wth no further nterpretaton gven n the survey). In the pooled sample only those who marked qualfed experence are ncluded n the category qualfed work experence, whle those wth any work experence are pooled wth those who marked unqualfed work experence. Note that snce the type of job experence cannot be dstngushed, qualfed work experence wll be underestmated. To account for any addtonal labor market experence, the age, AGE, of the respondent s ncluded. Ths measure s ntended to capture not any specfc job-market experence but 11

13 experence n other job-related aspects, dmensons that are thought to ncrease productvty. As there s no nformaton on pre-graduaton work experence, the varable age may capture some of ths effect. Job- and employer-related characterstcs are also ncluded to control for dfferences n market opportuntes. Frst, wages may dffer between job sectors, SECTOR, and hence dummy varables are ncluded to control for applyng to the prvate, governmental or muncpal sector. 12 Furthermore, ndvduals wth temporary employment contracts (tral perod, project bass or substtute contracts), CONTRACT, are separated from ndvduals wth permanent employment contracts. As some ndvduals have appled for tranee postons, a dummy varable has been added, TRAINEE. Because a job locaton n a metropoltan area could represent a more flexble labor market and thereby ncrease the barganng power of the applcant we dstngush between a job locaton n a metropoltan and non-metropoltan area, survey effects a survey dummy, to fulfll the usual crtera of ndependence. METRO. To account for any year or S 2000 s ncluded. Fnally υ s the error component, assumed To analyze the adjusted wage gap n wage bds, a smlar Mncer model to equaton (1) for the wage bds s estmated, wth an addtonal proxy for the applcant s outsde opton. The estmated model s then: W BID β 5 = δ + β FEMALE + β MAJOR + β EXPERI + β AGE + SECTOR β 6CONTRACT + β 7TRAINEE + β 8METRO + β 9S β SEARCH TIME + ε [2] 12 Some ndvduals have reported workng n a sector denoted other and are dropped (45 ndvduals) snce the survey lacks any nformaton as to what s defned as other. Indvduals workng outsde Sweden are also dropped (25 workng n Nordc countres, 37 n other parts of Europe and 12 outsde Europe) along wth those beng selfemployed (14 ndvduals), or who partcpate n labor market programs (67 ndvduals). 12

14 One proxy for outsde opton s the tme spent on searchng for the job, SEARCHTIME. Assumng unobservable productvty s postvely correlated wth the probablty of gettng a job, wage bds would declne wth the tme spent searchng for a job. 13 Another measure of the outsde opton conssts of the number of jobs appled for pror to acceptng the current employment, APPLIEDJOB S. Assume job utlty s hgher for the more able applcants, and therefore abler applcants would need to search for fewer jobs than an equvalent applcant wth lower unobserved ablty would have to. Ths varable s however only avalable for the 1999 survey. Table 2 dsplays the summary statstcs for the control varables. There are some gender dfferences worth notng. Men and women have majored n dfferent felds, wth more women among those majorng n socal scences and personnel management, whereas more men major n the feld of computer and system scence. 14 The same dfference s found for those who chose a posted wage job. Further, more men are employed n the prvate sector and they are older on average than the women. 15 Men are also more strongly represented n the group havng no search tme 16, whle women are more often found n the groups who searched for more than sx months before fndng (or acceptng) ther current jobs. 13 However, tme spent n searchng for the job may also have a contrary effect. Assumng that ndvduals wth more tme to search wll also learn more about how to fnd a good job-match, then we could fnd a postve effect on wage bds dependng on the tme spent n job search. 14 Women have noted that they work less than 40 hours per week to a greater extent than men, see footnote 16. As regards those who chose to bargan (posted wages), 21 (18) percent of the women work part tme whle the equvalent for men s 14 (12) percent. Yet, gven the age of the ndvduals ncluded n the sample, t s reasonable to assume few appled for part-tme work as the average age for females havng ther frst chld n Sweden s approxmately 28 years n both 1999 and 2000 (Statstcs Sweden, 2000). A t-test, moreover, reveals that the share of women over 28 years s smaller than the share of over 28 men n the group whch has noted work less than 40 hours. The dfference s also statstcally sgnfcant at the 5 percent level. 15 The hgher average age among men may be explaned by the compulsory mltary servce for young men n Sweden. 16 Note that the group no search tme ncludes () ndvduals who got the job before graduaton, () those who returned to a prevous employer from the tme before ther unversty studes, or () those who found ther jobs wthn a month of graduaton. 13

15 There are also some dfferences between the groups who appled for a job requrng wage barganng and those who appled for jobs wth posted wages. Gender dfferences between these groups, however, are small. Ths last could then be taken as evdence that there are no partcular selecton effects along gender lnes Self-promotng Barganng Strateges and Barganng Success To assess the extent to whch applcants overbd, or underbd, smlar applcants a measure whch relates the wage bd to a reference wage bd the employer may have expected gven the applcants characterstcs s developed. The reference wage s derved from regressng the wage bd accordng to equaton [2] and from ths then predct a market wage bd for every applcant who chose to bargan over ther wages, PREDMARKET BID. The measure of overbddng s then gven by: BID OVERBID = [3]. PREDMARKET BID When the measure, OVERBID s above 1, the applcant has bd a wage hgher than a smlar applcant would, gven the same characterstcs. When t s below 1 the applcant has bd a wage lower than a smlar applcant would, n general, gven the same characterstcs. Smlarly, we develop a measure whch captures the barganng outcome or barganng success, relatve to what the applcant may have expected gven the job and applcant characterstcs. Lkewse, the actual wage offer s compared to a calculated reference wage offer derved by estmatng equaton [1] for the whole sample and from ths predct a market wage offer for each applcant who chose to bargan over ther wage, The measure of barganng success s then gven by: PREDMARKET OFFER. 14

16 OFFER BARGSUCCES S = [4]. PREDMARKET OFFER When the measure s above 1 (below 1) the applcant receved an offer hgher (lower) than that predcted by hs or her wage- generatng characterstcs or by the job attrbutes. We allow for two dfferent specfcatons of the reference wage offer and wage bds. In a frst specfcaton a gender dummy s not ncluded when estmatng the reference wages. The reference wages are thereby set accordng to what s expected of a smlar canddate regardless of gender. In a second specfcaton the gender dummy s ncluded to take nto account that men and women may be dfferently valued n the market (the commonly found negatve wage premum for women) and therefore do not serve as substtutes for a smlar canddate. Note that wth the frst specfcaton, women s overbddng s undervalued f men and women do not appear as substtutes to the employer. Fnally we want to elct the dfferences n the pay-off from a self-promotng barganng strategy. To measure the pay-off we regress the level of overbddng on the barganng outcome, BARGSUCCES S, such that: BARGSUCCES S = α + β FEM + β OVERBID + β FEM * OVERBID + ε [5]. F ob FEMob The β ob measures the effect of overbddng on the barganng success,.e. the pay-off at dfferent levels of overbddng, relatve to a smlar applcant. Notce that β ob can capture the pay-off to unobservable ablty, preferences for rsk-takng or compettveness. The female dummy, FEM, and nteracton effects, FEM * OVERBID are ncluded to compare barganng outcome dfferences between men and women. To allow for a better characterzaton of the condtonal dstrbuton of the barganng success a quantle regresson method s used. Snce f overbddng nfluence the condtonal dstrbuton of the barganng success other than at the mean, a quantle regresson model 15

17 consttutes a superor way of descrbng the whole dstrbuton compared to OLS, see Koenker and Hallok (2001). Note that standard errors are obtaned by bootstrap methods. OLS estmates are also ncluded for comparson. 4 Results 4.1 The Mncer Model for the Wage Bds and Wage Offers The results for the Mncer wage model for the wage bd model are reported n Table III, column 1 and 2. What the estmated model frst reveals s that women submt lower wage bds than men do, also after controllng for a broad range of factors. The dfference s approxmately 3 percent, or between percent dependng upon the number of controls. The control varables all have the expected sgns, and are apart from beng a tranee, or not, statstcally sgnfcant. 17 The results for the offered wage are reported n Table III, column 3-5. The thrd column refers to fndngs based on the total sample whle the fourth and ffth refers to a dvson of the sample nto those choosng a job nvolvng barganng and those choosng a job wth posted wage offers. As n many prevous studes on the gender wage gap we fnd that women are offered lower wages, even when educaton, experence, age and other work-specfc characterstcs are controlled for. The gender dummy reveals an average effect of 2.7 percent lower offered wages for women. Dvdng the sample, we obtan a strkng fndng that the gender dfference n offered wages s hgher for those who chose to bargan relatve to those wth posted-wage jobs, 3.2 percent versus 2.6 percent, and that the dfference s hgher than that for the wage bds, There are two coeffcents worth notng. Frst, only f the applcant has searched for more than nne months s there a postve effect on wage bds, suggestng that a long search tme could have an nformatonal value on the jobmatch qualty. One possble explanaton could however be that respondents msclassfed ther search tme. Wthn ths group, 27 percent have had a job for more than sx moths pror to the current one, n comparson to 11 percent for the whole sample. However, the correlaton between postgraduate work experence and searchng for more than

18 percent. Thus there s a gender dfference not only n barganng but also an even stronger one n the post-barganng outcome. To further assess the extent to whch the adjusted wage gap s explaned by genderspecfc dfferences n characterstcs, or to whch these characterstcs are dfferently prced, the wdely employed method of decomposton suggested by Blnder (1973) and Oaxaca (1973) s used (for a thorough explanaton see Appendx A). In Appendx Table I we present the OLS estmates of equaton [2] separated by gender and barganng. The results of the wage decomposton are dsplayed n Table 4. To what extent would the gap then decrease, f women s characterstcs were the same as men s? The second term () ndcate that the gap would decrease by 2.7 percentage ponts for those choosng a job wth wage barganng and by 1.6 percentage ponts for those choosng a posted wage-job, f women had the same characterstcs as men. Ths resembles results found n other papers usng Swedsh data (see e.g. Edn & Rchardson, 2001). The term commonly assocated wth dscrmnaton then accounts for 55 percent of the wage gap for those who barganed and 68 percent for those wth posted wages. Hence, even though the gap s larger for women n the former group, less of t can be ascrbed to dscrmnaton. What ths fndng ndcates s that earler studes whch measure gender wage dfferentals on a bass of offered wages and wthout knowng whether the offered wage s a result of ndvdual wage barganng behavor or not, may actually have overestmated the unexplaned share or the part commonly ascrbed to dscrmnaton Self-promotng Barganng Strateges and the Barganng Success The summary statstcs of the measure of overbddng are gven n Table 5. The frst fndng s that women overbd the reference wage less often than men do and f they do, they overbd by a 9 months s no greater than 0.19 for unqualfed work and 0.28 for qualfed work experence. Second, the number of 17

19 smaller amount. In partcular, on average, a woman who strctly overbds a smlar canddate, man or woman, overbds wth 9 percent, whle men do so by 13 percent on average. If we nstead compare the wage bd to a reference wage whch takes the gender nto account, then women overbd a smlar canddate to a larger extent than men do and by a hgher amount, on average. Ths comes from the fact that when the reference wage takes the gender nto account, then the reference wage for a female applcant s sgnfcantly lower than for a male applcant (due to the sgnfcant negatve gender dummy n the references wage regresson). Therefore more women have a rato above 1. But when we restrct the sample nto those who strctly overbd a smlar canddate, women overbd by a smaller amount, 9.4 percent, compared to men who overbd by 12.9 percent on average. Hence also when takng the negatve gender premum nto account, women use self-promotng strateges to a lesser extent. Lookng at the level of underbddng, we fnd the opposte pattern. If men underbd a smlar applcant, then he underbds by a hgher level than women do, although the dfference s not so large. Fgure 1 llustrates our fndngs well. In Fgure 1 the condtonal dstrbutons of overbddng usng gender adjusted reference wages, for men and women s depcted. We can then see that men s dstrbuton s layng to the rght of the female dstrbuton suggestng that they have a hgher level of overbddng smlar applcants, especally for hgh levels of overbddng. Table 6 reports the results from the estmatons of equaton [5], when not takng the female dummy nto account. A comparson of the OLS estmates and the medan, or 50 th, quantle estmates provdes very smlar results suggestng that women obtan lower barganng pay-off when self-promotng or overbddng a smlar canddate. For example, assume an applcant decdes to overbd a smlar applcant by 20 percent nstead of 10 percent. If the jobs appled for has a clearly negatve effect on the wage bd, also when the length of search s controlled for. 18

20 applcant s a woman ths strategy s rewarded by 8.9 percentage ponts hgher offered wage, whle the equvalent for a male s 9.4 percentage ponts OVERBID Male Female OVERBID OVERBID Fgure 1 The Condtonal Dstrbuton of Overbddng for men (dashed lne) and women (flled lne). Comparng the effect of overbddng at dfferent quantles of the barganng success, we frst note that the effect s much larger n the 75 th quantle compared to, n partcular, the 25 th quantle. Assumng a smlar example to the one above, a woman who s n the 75 th quantle of the barganng success receves as a counter-offer whch s 9.6 percentage ponts hgher whle the equvalent for a male s 10.5 percentage ponts. In Fgure 2 predcted dfferences of overbddng n the hghest quantle compared to the lowest quantle of barganng success s shown. Note that these dfferences are all sgnfcant at the 99 percent level. In sum, the estmated relatonshp frst suggests that women fare better from self-promotng, or overbddng, n the groups where the 19

21 dstrbuton of offered wages s narrower among smlar applcants,.e. n the 25 th quantle. Second, women do relatvely worse when the dstrbuton of offered wages among smlar applcants s wder, hence where there s more scope for ndvdual wage barganng. Predcted dff quant maledff7525 femaledff7525 Fgure 2 The predcted dfference from overbddng n the 75 th quantle relatve to overbddng n the 25 th quantle for men (dashed lne) and women (sold lne) separately. In Table 7 we report the equvalent estmates controllng for the fact that men and women are not evaluated as perfect substtutes on average by employers. The results suggest a smlar relatonshp, also when ths effect s taken nto account. Fnally n Table 8, we report separate estmates for men and women. Agan we fnd the pay-off dfference between men and women to be accentuated the larger the scope for ndvdual wage barganng. Ths gender dfference n pay-off n wage barganng may frst reflect the gender dfferences n motvaton and pay noted n Agell & Bennmarker (2002). Although women enjoy 20

22 a lower return from ther barganng, and are thus less successful, employers may feel they wll not respond by reducng ther efforts to the same extent that men would. Alternatvely, the result could suggest that women come up aganst a glass celng when the scope for barganng, and the use of self-promotng barganng strateges s large despte havng the same wage-generatng characterstcs needed. Ths result could suggest that employers are more dscrmnatory wth a more wde spread wage dstrbuton. Assumng that n hgher-payng jobs or n hgh-profle jobs, employers allow for larger wage dstrbutons then the results may also then parallel the results found n Albrecht et al (2003), where n Swedsh wage data the gender log wage gap ncreases throughout the wage dstrbuton, and actually accelerates at the upper end of the dstrbuton. Lkewse, f the level of the wage bd s seen as a sgnal of unobservable productvty, the fndng may suggest that employers fnd women s sgnals to be less credble. Consequently, f women are aware of the lower margnal gan from ncreasng ther relatve wage bd, the ncentve to overbd n barganng declnes relatve to men s. Thus we would fnd that women do not ask for hgher wages relatve to smlar applcants, n partcular the larger the scope for barganng, resultng n them fndng themselves n a vcous crcle, such that f they do not ask for hgher wages they wll not be gven them. Hence ncentves for selfpromotng barganng strateges could be an explanaton for the fndng that female wage bds are lower. 5 Concludng Remarks Men and women s choces and outcomes n the labor market dffer along many dmensons. Dfferences n barganng strateges may capture many of these dspartes. For example, the use 21

23 of self-promotng strateges may be necessary to nfluence the probablty to be promoted. Alternatvely they may be necessary when applyng for a better pad job. The general concluson to be drawn from ths paper s that gender dfferences do exst n both wage barganng behavor and barganng outcomes. It s found that women both ask for lower wages and receve lower counter-offers from employers. These results are robust to the ncluson of controls for ndvdual-specfc and employer-specfc characterstcs. Another fndng here s that f wage barganng s acknowledged when explanng the wage offer gender gap, the unexplaned part of the gap s reduced. Ths suggests that f gender dfferences are neglected n wage barganng, the term commonly attrbuted to dscrmnaton n wage decompostons may be overestmated. Instead, t may be the gender dfferences n wage barganng that reflect dscrmnaton. Gender dfferences were found n the use of self-promotng strateges. Women selfpromoted less. Frst, f ths arses due to self-perceved ablty dfferences or self-enhancement, then gender wage dfferentals may be exacerbated by ndvdual wage barganng more than f the employer uses wage-offer postng. Second, f as suggested by ths study the economc ncentves are weaker for women then women may decde to choose occupatons where selfpromoton or competton s less lkely to be mportant. As ths study s unque n ts knd, the results regardng ndvdual wage barganng dfferences are strkng but yet prmary. Therefore, n vew of the fndngs n ths paper, a stronger focus on barganng behavor even when assessng the dfferent outcomes for men and women n the labor market, s a useful drecton for future research. 22

24 References Agell, J., Lundborg, P. (1995) Theores of Pay and Unemployment: Survey Evdence from Swedsh Manufacturng Frms, Scandnavan Journal of Economcs, Vol. 97, Agell, J., Lundborg, P. (2003) Survey Evdence on Wage Rgdty and Unemployment: Sweden n the 1990s, Scandnavan Journal of Economcs, Vol. 105, Agell, J., Bennmarker, H. (2002) Wage polcy and Endogenous Wage Rgdty: A Representatve Vew from Wthn, IFAU Workng Paper 2002:12, Uppsala unversty. Akerlof, G. (1982) Labor Contracts as Partal Gft Exchange, Quarterly Journal of Economcs, Vol. 97, Akerlof, G., Yellen, J. (1990) The Far Wage-Effort Hypothess and Unemployment, Quarterly Journal of Economcs, Vol. 105, Albrecht, J., Bjorklund, A., Vroman, S. (2003) Is there a Glass Celng n Sweden?, Journal of Labor Economcs, Vol. 21, Babcock, L., Laschever, S. (2003) Women don t Ask, Prnceton, NJ: Prnceton Unversty Press. Babcock, L., Gelfand, M., Small, D., Stayn, H. (2006) Gender Dfferences n the Propensty to Inttate Negotaton, n Socal Psychology and Economcs, ed. De Cremer, D., Murnghan, J. K., Zeelenberg, M., Lawrence Erlbaum Assocates, New Jersey. Becker, G. (1971) The Economcs of Dscrmnaton, 2 nd edton, Chcago, The Unversty of Chcago Press. Bewley, T. (1995) A Depressed Labor Market as Explaned by Partcpants, Amercan Economc Revew Papers and Proceedngs, Vol. 85, Betts, J. R. (1996) What do students know about wages: Evdence from a Survey of Undergraduates, Journal of Human Resources, Vol. 31,

25 Blau, F. D., Kahn, L. M. (2003) Understandng Internatonal Dfferences n the Gender Pay Gap, Journal of Labor Economcs, Vol. 21, Blnder, A. S. (1973) Wage Dscrmnaton: Reduced Form and Structural Estmates, Journal of Human Resources, Vol. 8, Bowles, H., R. (2005) It Depends Who Is Askng and Who You Ask: Socal Incentves for Sex Dfferences n the Propensty to Intate Negotaton, KSG Faculty Research Workng Paper Seres RWP Brunello, G., Lucfora, C., Wnter-Ebmer, R. (2004) The Wage Expectatons of European College Students, Journal of Human Resources, Vol.39, Campbell, C., Kamlan, K. (1997) The Reason for Wage Rgdty: Evdence from Survey of Frms, Quarterly Journal of Economcs, Vol. 112, Edn, P. A., Rchardson, K. (2002) Swmmng wth the Tde: Soldarty Wage Polcy and the Gender Earnngs Gap, Scandnavan Journal of Economcs, Vol. 104, Fehr, E., Falk, A. (1999) Wage Rgdty n a Compettve Incomplete Contract Market, Journal of Poltcal Economy, Vol. 107, Gneezy, U., Nederle, M., Rustchn, A. (2003) Performance n Compettve Envronments: Gender Dfferences, Quarterly Journal of Economcs, Vol. 118, Goldn, C., Polachek S. (1987) Resdual Dfferences by Sex: Perspectves on the Gender Gap n Earnngs, Amercan Economc Revew, Vol. 77, Granqvst, L., Persson, H. (1999) Gender dfferences n career opportuntes n the wholesale and retal trade ndustry, n Persson H., Essays on Labour Demand and Career Moblty, Dssertaton Seres, No. 40, The Swedsh Insttute for Socal Research, Stockholm Unversty. 24

26 Granqvst, L., Regner, H. (2004) Den nya lönebldnngen: En forsknngsöverskt och analys av lönebldnngen för akademker, report for the Swedsh Confederaton of Professonal Assocatons. Gupta, N. D., Poulsen, A., Vlleval, M-C. (2005) Male and Female Compettve Behavor: Expermental Evdence, IZA Dscusson Paper 1833, IZA, Bonn. Holm, H. J. (2000) Gender-Based Focal Ponts, Games & Economc Behavor, Vol. 32, Hultn, M., Sulkn, R. (1999) Wages and Unequal Access to Organzatonal Power: An Emprcal Test of Gender Dscrmnaton, Admnstratve Scence Quarterly, Vol. 44, Janakoplos, N., Bernasek A. (1998) Are Women More Rsk Averse?, Economc Inqury, Vol. 36, Jusek, (2000) Lönestatstk 99, JUSEK. Koenker, R., Hallock, H. (2001) Quantle Regresson, Journal of Economc Perspectves, Vol. 15, Nederle, M., Vesterlund, L (2007) Do Women Shy away from Competton? Do Men Compete too Much?, forthcomng, Quarterly Journal of Economcs, August Oaxaca, R. (1973) Male-Female Dfferentals n Urban Labor Markets, Internatonal Economc Revew, Vol. 14, Powell, M., Ansc, D. (1997) Gender Dfferences n Rsk Behavor n Fnancal Decson- makng: An Expermental Analyss, Journal of Economc Psychology, Vol. 18, Schweren, C. (2002) An Erroneous Belef: Payng Women Lower Wages Does Not Pay, mmeo, Faculty of Economcs and Busness Admnstraton, Unversty of Maastrcht. 25

27 Smth, H. L., Powell, B. (1990) Great Expectatons: Varatons n Income Expectatons Among College Senors, Socology of Educaton, Vol. 63, Statstcs Sweden, Natonal Agency for Hgher Educaton (1998) Kvnnor och män högskolan från gymnasum tll forskarutbldnng 1986/ /96, Natonal Agency for Hgher Educaton Report 1998:44 R, Stockholm. Sundén, A. E., Surette, B. J. (1998) Gender Dfferences n the Allocaton of Assets n Retrement Savngs Plans, Amercan Economc Revew, Vol. 88, Walters, A. E., Stuhlmacher, A. F., Meyer, L. L. (1998) Gender and Negotator Compettveness: A Meta-Analyss, Organzatonal Behavor and Human Decson Processes, Vol. 76,

28 Tables TABLE 1 SUMMARY STATISTICS ON WAGE BIDS AND WAGE OFFERS BMALE BFEM Raw- Wage gap PWMALE PWFEM Raw- Wage gap WAGE BID (SEK) *** ( ) ( ) ln. WAGE BID 9.85*** 9.80 WAGE OFFER (SEK) *** a a *** ( ) (2560.2) ( ) ( ) ln. WAGE OFFER 9.82*** *** 9.67 No of Obs Note: Numbers n parentheses are standard devatons. B refers to those choosng a job nvolvng ndvdual wage barganng and PW refers to those choosng a job wth a posted wage. ***/**/* denote statstcal gender dfferences at the 1/5/10 percent levels respectvely n a t-test of equal varance. a/b/c denote statstcal dfference between barganers and non-barganers at the 1/5/10 percent levels respectvely. 27

29 TABLE 2 SUMMARY STATISTICS ON SELECTED CONTROL VARIABLES BMALE BFEM PWMALE PWFEM Busness Adm. & Economcs 47 % ** a 42 % a 40 %** 35 % Law 9 %*** a 13 % a 29 %** 33 % Computer and System sc. 27 %*** b 14 % a 17 %*** 10 % Personnel Management 4 %*** a 10 % a 2 %** 7 % Socal Scence 13 %*** 21 % a 11 %*** 16 % Age 28.4*** *** 27.2 No work experence 58 %*** a 47 % a 68 %*** 59 % Unqualfed work experence 25 %*** a 35 % a 20 %*** 27 % Qualfed work experence 17 % a 17 % b 12 %* 14 % Temporary 22 %*** a 35 % a 40 %*** 48 % Tranee 10 %*** a 7 % a 16 % 15 % Metropoltan 69 % 66 % a 67 %*** 61 % Search < 1 month 45 %*** 40 % 52 %*** 47 % Search 1-3 months 16 % 15 % 19 % 21 % Search 3-6 months 14 % 14 % 13 % 13 % Search 6-9 months 9 %*** 14 % 8 % 9 % Search > 9 months Appled 1-5 jobs 15 %* 53 %* 17 % 48 % 8 %** 63 % 10 % 60 % Appled 6-20 jobs 29 % 27 % 24 % 26 % Appled jobs 12 %** 17 % 9 % 9 % Appled >50 jobs No of obs 6 % % % % 1030 Note: Numbers n parentheses are standard devatons. B refers to those choosng a job nvolvng ndvdual wage barganng and PW refers to those choosng a job wth a posted wage. ***/**/* denote statstcal gender dfferences at the 1/5/10 percent levels respectvely n a t-test of equal varance. a/b/c denote statstcal dfference between barganers and non-barganers at the 1/5/10 percent levels respectvely. Employment contracts are permanent or temporary (tral perod, project bass or substtute contract.).. Metropoltan areas: Stockholm, Gothenburg and Malmo. Search <1 month ncludes ndvduals who got job pror to graduaton, who returned to same employer as before studyng, and those who searched for less than a month. Only avalable for

30 TABLE 3 REGRESSION RESULTS OF THE STANDARD MINCER MODEL FOR THE WAGE BID AND WAGE OFFERS, SEPARATED BY GENDER Wage Bd Wage Offer Sample B B 1999 ALL B PW Female *** *** *** *** *** (0.006) (0.008) (0.004) (0.006) (0.006) Law *** *** (0.009) (0.013) (0.006) (0.009) (0.009) Computer & Sys. Scen 0.051*** 0.033*** 0.072*** 0.063*** 0.079*** (0.007) (0.011) (0.006) (0.008) (0.009) Personnel Man *** ** ** * ** (0.011) (0.018) (0.009) (0.011) (0.015) Socal Scence *** *** *** *** ** (0.008) (0.011) (0.006) (0.008) (0.010) Unqual. Work Exper *** 0.042*** 0.036*** 0.037*** 0.013* (0.007) (0.009) (0.005) (0.007) (0.007) Qualf. Work Exper *** 0.104*** 0.113*** 0.075*** (0.009) (0.006) (0.008) (0.009) Age 0.014*** 0.013*** 0.011*** 0.013*** 0.006*** (0.001) (0.001) (0.001) (0.001) (0.001) Governmental Sector *** *** *** *** *** (0.007) (0.010) (0.005) (0.007) (0.008) Muncpal Sector *** *** ** ** ** (0.010) (0.014) (0.009) (0.011) (0.016) Temporary contr *** *** *** *** *** (0.006) (0.009) (0.005) (0.006) (0.007) Tranee (0.009) (0.012) (0.006) (0.010) (0.008) Metropoltan Area 0.060*** 0.062*** 0.065*** 0.070*** 0.059*** (0.006) (0.008) (0.004) (0.006) (0.006) Survey *** 0.045*** 0.033*** 0.055*** (0.006) (0.005) (0.006) (0.007) Search 1-3 months ** (0.008) (0.011) Search 3-6 months (0.009) (0.013) Search 6-9 months (0.010) (0.014) Search >9 months 0.036*** 0.046*** (0.009) (0.013) Appled 6-20 Jobs *** (0.009) Appled Jobs *** (0.011) Appled >50 Jobs *** (0.015) Constant *** *** *** *** *** (0.069) (0.098) (0.056) (0.072) (0.084) R-squared Adjusted R-squared F-value No of obs Note: Standard errors are n talcs. All values are n SEK. ***/**/* denote statstcal sgnfcance at the 1/5/10 percent levels respectvely. B refers to those choosng a job nvolvng ndvdual wage barganng and PW refers to those choosng a job wth a posted wage. For a varable descrpton see Table II. 29

31 TABLE 4 DECOMPOSING THE GENDER WAGE GAP IN OFFERED WAGES FOR THOSE WITH A JOB REQUIRING WAGE BARGAINING AND THOSE WITH A POSTED-WAGE JOB THE MALE-FEMALE WAGE GAP EXPLAINED BY DIFFERENCES IN: (I) CHARACTERISTICS (II) THE RETURN TO CHARACTERISTICS lnw ln β X X ) M W F M ( M F [ β ( X X ) M ] THE MINCER MODEL FOR POSTED-WAGE JOBS [-0.025] THE MINCER MODEL FOR BARGAINING JOBS [-0.028] Estmates follow from estmatons reported n Appendx Table I, columns 1 and 2. Estmates follow from estmatons reported n Appendx Table I, columns 3 and 4. F F X F ( M F β β ) [ X ( β β M )] M F [-0.018] [-0.030] 30

32 TABLE 5 THE DISTRIBUTION OF OVERBIDDING OR SELF-PROMOMTING BARGAINING STRATEGY ALL MALE FEMALE OVERBID *** 0.996*** (0.131) (0.146) (0.116) OVERBID < (0.056) (0.058) (0.056) share OVERBID > *** 1.090*** (0.123) (0.137) (0.107) share *** 0.43*** OVERBID F *** (0.130) (0.144) (0.122) OVERBID F < ** 0.928** (0.057) (0.059) (0.055) Share OVERBID F > *** 1.094*** (0.121) (0.137) (0.108) share * 0.47* Note: Numbers n parenthess are standard devatons. ***/**/* denote a statstcally sgnfcant gender dfference at the 1/5/10 percent levels respectvely. OVERBID s defned as the rato of the wage bd and a reference wage bd predcted for each ndvdual usng the same controls as n Table III column 1, except for the gender dummy. OVERBID F s defned as the rato of the wage bd and a reference wage bd predcted for each ndvdual usng the same controls as n Table III column 1 ncludng the gender dummy 31

33 TABLE 6 REGRESSION RESULTS ON THE SUCCESS OF THE WAGE BARGAINING BARG SUCCESS BARG SUCCESS BARG SUCCESS BARG SUCCESS 25 TH QUANTILE 50 TH QUANTILE 75 TH QUANTILE OLS OVERBID 0.808*** 0.943*** 1.047*** A 0.936*** (0.017) (0.017) (0.017) (0.017) FEM*OVERBID ** *** A ** (0.025) (0.024) (0.022) (0.025) FEMALE * 0.082*** A 0.044* (0.025) (0.025) (0.022) (0.025) Constant 0.181*** 0.096*** A 0.094*** (0.018) (0.017) (0.017) (0.017) Pseudo R-sq R-squared Adj-R-squared F-value p-value No of Obs Note: Standard errors are n talcs. ***/**/* denote statstcal sgnfcance at the 1/5/10 percent levels respectvely. A ndcates a statstcally sgnfcant dfference between the 75 th and 25 th quantle at the 1 percent level. The dependent varable s the barganng success defned as the rato of the offered wage and a predcted reference wage offer, usng the same control varables as n Table III, column 3 except for the gender dummy. OVERBID s defned as the rato of the wage bd and a reference wage bd predcted for each ndvdual usng the same controls as n Table III column 1, except for the gender dummy. 32

34 TABLE 7 REGRESSION RESULTS ON THE SUCCESS OF THE WAGE BARGAINING BARG SUCCESS F BARG SUCCESS F BARG SUCCESS F BARG SUCCESS F 25 TH QUANTILE 50 TH QUANTILE 75 TH QUANTILE OLS OVERBID F 0.806*** 0.946*** 1.044*** A 0.937*** (0.017) (0.018) (0.017) (0.017) FEM* OVERBID F 0.045* ** *** A ** (0.025) (0.026) (0.022) (0.025) FEMALE * 0.052** 0.077*** A 0.048* (0.025) (0.027) (0.023) (0.025) Constant 0.183*** 0.093*** A 0.093*** (0.018) (0.019) (0.017) (0.017) Pseudo R-sq R-squared Adj-R-squared F-value p-value No of Obs Note: Standard errors are n talcs. ***/**/* denote statstcal sgnfcance at the 1/5/10 percent levels respectvely. A ndcates a statstcally sgnfcant dfference between the 75 th and 25 th quantle at the 1 percent level. The dependent varable s the barganng success defned as the rato of the offered wage and a predcted reference wage offer, usng the same control varables as n Table III, column 3 ncludng the gender dummy. OVERBID F s defned as the rato of the wage bd and a reference wage bd predcted for each ndvdual usng the same controls as n Table III column 1, ncludng the gender dummy. 33

35 TABLE 8 REGRESSION RESULTS ON THE SUCCESS OF THE WAGE BARGAINING BS F BS F BS F BS F BS F BS F BS F BS F 25 TH QUANT 50 TH QUANT 75 TH QUANT. OLS 25 TH QUANT 50 TH QUANT 75 TH QUANT OLS WOMEN WOMEN WOMEN WOMEN MEN MEN MEN MEN OVERBID F 0.851*** 0.885*** 0.965*** A 0.884*** 0.806*** 0.946*** 1.044*** A 0.937*** (0.021) (0.017) (0.013) (0.017) (0.023) (0.017) (0.022) (0.018) Constant 0.136*** 0.145*** 0.103*** 0.141*** 0.183*** 0.093*** *** (0.021) (0.018) (0.014) (0.017) (0.024) (0.017) (0.023) (0.019) Ps. R-sq R-sq Adj Rsq F-value p-value No of Obs Note: Standard errors are n talcs.***/**/* denote statstcal sgnfcance at the 1/5/10 percent levels respectvely. A ndcates a statstcally sgnfcant dfference between the 75 th and 25 th quantle at the 1 percent level. OVERBID F s defned as the rato of the wage bd and a reference wage bd predcted for each ndvdual usng the same controls as n Table III column 1, ncludng the gender dummy. 34

36 APPENDIX TABLE I REGRESSION RESULTS OF THE STANDARD MINCER MODEL FOR THE WAGE OFFERS USED IN THE OAXACA-BLINDER DECOMPOSITION Barganng Posted Wage Sample Male Female Male Female Law *** (0.017) (0.011) (0.015) (0.011) Computer & Sys. Scen 0.045*** 0.084*** 0.075*** 0.088*** (0.011) (0.011) (0.013) (0.013) Personnel Man *** *** (0.024) (0.012) (0.034) (0.016) Socal Scence *** *** *** (0.016) (0.009) (0.016) (0.012) Unqual. Work Exper *** 0.026*** 0.033*** (0.012) (0.008) (0.012) (0.009) Qualf. Work Exper *** 0.086*** 0.102*** 0.051*** (0.013) (0.010) (0.015) (0.012) Age 0.012*** 0.013*** *** (0.002) (0.001) (0.002) (0.001) Governmental Sector *** *** *** * (0.013) (0.009) (0.013) (0.010) Muncpal Sector * (0.021) (0.012) (0.032) (0.018) Temporary contr *** *** *** *** (0.011) (0.007) (0.012) (0.009) Tranee * 0.038*** (0.015) (0.013) (0.013) (0.010) Metropoltan Area 0.077*** 0.068*** 0.061*** 0.056*** (0.010) (0.007) (0.010) (0.008) Survey *** 0.055*** 0.055*** (0.011) (0.008) (0.010) (0.008) Constant *** *** 9.837*** *** (0.126) (0.086) (0.138) (0.104) R-squared Adjusted R-squared F-value No of obs Note: Standard errors are n talcs. All values are n SEK. For varable defnton see Table II. ***/**/* denote statstcal sgnfcance at the 1/5/10 percent levels respectvely. 35

37 Appendx A: The Oaxaca Blnder Wage Decomposton Let ln WM be the natural logarthm monthly mean wage for men and ln WF be the equvalent for women. Further, let X M and X F denote the mean values of the characterstcs used as explanatory varables and let β M and β F denote the slope coeffcents of the male and female wage equatons respectvely. The wage gap can then be wrtten as ln WM lnwf = β M ( X M X F ) + X F ( β M β F ), [2] () () () where frst term () equals the male-female wage dfferental n log wages. The second term () s the share of the wage gap whch can be credted to dfferences n the mean values of the explanatory varables. The fnal and thrd term () s the share of the wage gap that s credted to dfferent returns connected wth those characterstcs or varables (.e. measurable and seemngly dentcal characterstcs). It s ths fnal term that s assumed to be ascrbable to dscrmnaton There are two lmtatons to ths decomposton and the extent to whch the thrd term can be assumed to reflect dscrmnaton. Frst, a crucal element for dvdng the decomposton nto one non-dscrmnatory (explaned) and one dscrmnatory (unexplaned) part, s that all productvty-related aspects that affect wages have to be ncluded n the wage equaton. Second, the slope coeffcents used n the decomposton ought to have a sgnfcant mpact on the wages. Both of the above condtons are hard to fulfll, whch means that the results should be analyzed wth ths shortcomng n mnd. Moreover, two other ponts should be made. If dentcal characterstcs do not yeld the same return, ths cannot always be ascrbed to dscrmnaton (Goldn and Polachek, 1987). Moreover, dfferences n characterstcs may n ther turn be due to dscrmnaton. 36

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

Marginal Returns to Education For Teachers

Marginal Returns to Education For Teachers The Onlne Journal of New Horzons n Educaton Volume 4, Issue 3 MargnalReturnstoEducatonForTeachers RamleeIsmal,MarnahAwang ABSTRACT FacultyofManagementand Economcs UnverstPenddkanSultan Idrs [email protected]

More information

PRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIGIOUS AFFILIATION AND PARTICIPATION

PRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIGIOUS AFFILIATION AND PARTICIPATION PRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIIOUS AFFILIATION AND PARTICIPATION Danny Cohen-Zada Department of Economcs, Ben-uron Unversty, Beer-Sheva 84105, Israel Wllam Sander Department of Economcs, DePaul

More information

Gender differences in revealed risk taking: evidence from mutual fund investors

Gender differences in revealed risk taking: evidence from mutual fund investors Economcs Letters 76 (2002) 151 158 www.elsever.com/ locate/ econbase Gender dfferences n revealed rsk takng: evdence from mutual fund nvestors a b c, * Peggy D. Dwyer, James H. Glkeson, John A. Lst a Unversty

More information

How To Calculate The Accountng Perod Of Nequalty

How To Calculate The Accountng Perod Of Nequalty Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

Analysis of Premium Liabilities for Australian Lines of Business

Analysis of Premium Liabilities for Australian Lines of Business Summary of Analyss of Premum Labltes for Australan Lnes of Busness Emly Tao Honours Research Paper, The Unversty of Melbourne Emly Tao Acknowledgements I am grateful to the Australan Prudental Regulaton

More information

Scale Dependence of Overconfidence in Stock Market Volatility Forecasts

Scale Dependence of Overconfidence in Stock Market Volatility Forecasts Scale Dependence of Overconfdence n Stoc Maret Volatlty Forecasts Marus Glaser, Thomas Langer, Jens Reynders, Martn Weber* June 7, 007 Abstract In ths study, we analyze whether volatlty forecasts (judgmental

More information

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

DO LOSS FIRMS MANAGE EARNINGS AROUND SEASONED EQUITY OFFERINGS?

DO LOSS FIRMS MANAGE EARNINGS AROUND SEASONED EQUITY OFFERINGS? DO LOSS FIRMS MANAGE EARNINGS AROUND SEASONED EQUITY OFFERINGS? Fernando Comran, Unversty of San Francsco, School of Management, 2130 Fulton Street, CA 94117, Unted States, [email protected] Tatana Fedyk,

More information

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services An Evaluaton of the Extended Logstc, Smple Logstc, and Gompertz Models for Forecastng Short Lfecycle Products and Servces Charles V. Trappey a,1, Hsn-yng Wu b a Professor (Management Scence), Natonal Chao

More information

HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA*

HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA* HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA* Luísa Farnha** 1. INTRODUCTION The rapd growth n Portuguese households ndebtedness n the past few years ncreased the concerns that debt

More information

Returns to Experience in Mozambique: A Nonparametric Regression Approach

Returns to Experience in Mozambique: A Nonparametric Regression Approach Returns to Experence n Mozambque: A Nonparametrc Regresson Approach Joel Muzma Conference Paper nº 27 Conferênca Inaugural do IESE Desafos para a nvestgação socal e económca em Moçambque 19 de Setembro

More information

1.1 The University may award Higher Doctorate degrees as specified from time-to-time in UPR AS11 1.

1.1 The University may award Higher Doctorate degrees as specified from time-to-time in UPR AS11 1. HIGHER DOCTORATE DEGREES SUMMARY OF PRINCIPAL CHANGES General changes None Secton 3.2 Refer to text (Amendments to verson 03.0, UPR AS02 are shown n talcs.) 1 INTRODUCTION 1.1 The Unversty may award Hgher

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

SIMPLE LINEAR CORRELATION

SIMPLE LINEAR CORRELATION SIMPLE LINEAR CORRELATION Smple lnear correlaton s a measure of the degree to whch two varables vary together, or a measure of the ntensty of the assocaton between two varables. Correlaton often s abused.

More information

LIFETIME INCOME OPTIONS

LIFETIME INCOME OPTIONS LIFETIME INCOME OPTIONS May 2011 by: Marca S. Wagner, Esq. The Wagner Law Group A Professonal Corporaton 99 Summer Street, 13 th Floor Boston, MA 02110 Tel: (617) 357-5200 Fax: (617) 357-5250 www.ersa-lawyers.com

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently.

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently. Corporate Polces & Procedures Human Resources - Document CPP216 Leave Management Frst Produced: Current Verson: Past Revsons: Revew Cycle: Apples From: 09/09/09 26/10/12 09/09/09 3 years Immedately Authorsaton:

More information

Staff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall

Staff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall SP 2005-02 August 2005 Staff Paper Department of Appled Economcs and Management Cornell Unversty, Ithaca, New York 14853-7801 USA Farm Savngs Accounts: Examnng Income Varablty, Elgblty, and Benefts Brent

More information

The impact of hard discount control mechanism on the discount volatility of UK closed-end funds

The impact of hard discount control mechanism on the discount volatility of UK closed-end funds Investment Management and Fnancal Innovatons, Volume 10, Issue 3, 2013 Ahmed F. Salhn (Egypt) The mpact of hard dscount control mechansm on the dscount volatlty of UK closed-end funds Abstract The mpact

More information

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING Matthew J. Lberatore, Department of Management and Operatons, Vllanova Unversty, Vllanova, PA 19085, 610-519-4390,

More information

Survive Then Thrive: Determinants of Success in the Economics Ph.D. Program. Wayne A. Grove Le Moyne College, Economics Department

Survive Then Thrive: Determinants of Success in the Economics Ph.D. Program. Wayne A. Grove Le Moyne College, Economics Department Survve Then Thrve: Determnants of Success n the Economcs Ph.D. Program Wayne A. Grove Le Moyne College, Economcs Department Donald H. Dutkowsky Syracuse Unversty, Economcs Department Andrew Grodner East

More information

STAMP DUTY ON SHARES AND ITS EFFECT ON SHARE PRICES

STAMP DUTY ON SHARES AND ITS EFFECT ON SHARE PRICES STAMP UTY ON SHARES AN ITS EFFECT ON SHARE PRICES Steve Bond Mke Hawkns Alexander Klemm THE INSTITUTE FOR FISCAL STUIES WP04/11 STAMP UTY ON SHARES AN ITS EFFECT ON SHARE PRICES Steve Bond (IFS and Unversty

More information

Searching and Switching: Empirical estimates of consumer behaviour in regulated markets

Searching and Switching: Empirical estimates of consumer behaviour in regulated markets Searchng and Swtchng: Emprcal estmates of consumer behavour n regulated markets Catherne Waddams Prce Centre for Competton Polcy, Unversty of East Angla Catherne Webster Centre for Competton Polcy, Unversty

More information

Military Conscription and University Enrolment: Evidence from Italy

Military Conscription and University Enrolment: Evidence from Italy DISCUSSION PAPER SERIES IZA DP No. 4212 Mltary Conscrpton and Unversty Enrolment: Evdence from Italy Gorgo D Petro June 2009 Forschungsnsttut zur Zukunft der Arbet Insttute for the Study of Labor Mltary

More information

Multiple-Period Attribution: Residuals and Compounding

Multiple-Period Attribution: Residuals and Compounding Multple-Perod Attrbuton: Resduals and Compoundng Our revewer gave these authors full marks for dealng wth an ssue that performance measurers and vendors often regard as propretary nformaton. In 1994, Dens

More information

! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #...

! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #... ! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #... 9 Sheffeld Economc Research Paper Seres SERP Number: 2011010 ISSN 1749-8368 Sarah Brown, Aurora Ortz-Núñez and Karl Taylor Educatonal loans and

More information

Are Women Better Loan Officers?

Are Women Better Loan Officers? Are Women Better Loan Offcers? Ths verson: February 2009 Thorsten Beck * CentER, Dept. of Economcs, Tlburg Unversty and CEPR Patrck Behr Goethe Unversty Frankfurt André Güttler European Busness School

More information

HARVARD John M. Olin Center for Law, Economics, and Business

HARVARD John M. Olin Center for Law, Economics, and Business HARVARD John M. Oln Center for Law, Economcs, and Busness ISSN 1045-6333 ASYMMETRIC INFORMATION AND LEARNING IN THE AUTOMOBILE INSURANCE MARKET Alma Cohen Dscusson Paper No. 371 6/2002 Harvard Law School

More information

Financial Mathemetics

Financial Mathemetics Fnancal Mathemetcs 15 Mathematcs Grade 12 Teacher Gude Fnancal Maths Seres Overvew In ths seres we am to show how Mathematcs can be used to support personal fnancal decsons. In ths seres we jon Tebogo,

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

Student Performance in Online Quizzes as a Function of Time in Undergraduate Financial Management Courses

Student Performance in Online Quizzes as a Function of Time in Undergraduate Financial Management Courses Student Performance n Onlne Quzzes as a Functon of Tme n Undergraduate Fnancal Management Courses Olver Schnusenberg The Unversty of North Florda ABSTRACT An nterestng research queston n lght of recent

More information

Management Quality and Equity Issue Characteristics: A Comparison of SEOs and IPOs

Management Quality and Equity Issue Characteristics: A Comparison of SEOs and IPOs Management Qualty and Equty Issue Characterstcs: A Comparson of SEOs and IPOs Thomas J. Chemmanur * Imants Paegls ** and Karen Smonyan *** Current verson: November 2009 (Accepted, Fnancal Management, February

More information

CHAPTER 14 MORE ABOUT REGRESSION

CHAPTER 14 MORE ABOUT REGRESSION CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp

More information

Do business administration studies offer better preparation for supervisory jobs than traditional economics studies?

Do business administration studies offer better preparation for supervisory jobs than traditional economics studies? Do busness admnstraton studes offer better preparaton for supervsory jobs than tradtonal economcs studes? ROA-RM-2002/2E Hans Hejke, Ger Ramaekers and Catherne Rs Research Centre for Educaton and the Labour

More information

An Empirical Study of Search Engine Advertising Effectiveness

An Empirical Study of Search Engine Advertising Effectiveness An Emprcal Study of Search Engne Advertsng Effectveness Sanjog Msra, Smon School of Busness Unversty of Rochester Edeal Pnker, Smon School of Busness Unversty of Rochester Alan Rmm-Kaufman, Rmm-Kaufman

More information

Management Quality, Financial and Investment Policies, and. Asymmetric Information

Management Quality, Financial and Investment Policies, and. Asymmetric Information Management Qualty, Fnancal and Investment Polces, and Asymmetrc Informaton Thomas J. Chemmanur * Imants Paegls ** and Karen Smonyan *** Current verson: December 2007 * Professor of Fnance, Carroll School

More information

Two Faces of Intra-Industry Information Transfers: Evidence from Management Earnings and Revenue Forecasts

Two Faces of Intra-Industry Information Transfers: Evidence from Management Earnings and Revenue Forecasts Two Faces of Intra-Industry Informaton Transfers: Evdence from Management Earnngs and Revenue Forecasts Yongtae Km Leavey School of Busness Santa Clara Unversty Santa Clara, CA 95053-0380 TEL: (408) 554-4667,

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

ADVERTISEMENT FOR THE POST OF DIRECTOR, lim TIRUCHIRAPPALLI

ADVERTISEMENT FOR THE POST OF DIRECTOR, lim TIRUCHIRAPPALLI ADVERTSEMENT FOR THE POST OF DRECTOR, lm TRUCHRAPPALL The ndan nsttute of Management Truchrappall (MT), establshed n 2011 n the regon of Taml Nadu s a leadng management school n nda. ts vson s "Preparng

More information

The Complementarities of Competition in Charitable Fundraising

The Complementarities of Competition in Charitable Fundraising The Complementartes of Competton n Chartable Fundrasng Andreas Lange Unversty of Hamburg Department of Economcs Von-Melle-Park 5 D-20146 Hamburg Germany [email protected] Andrew Stockng Congressonal

More information

High Correlation between Net Promoter Score and the Development of Consumers' Willingness to Pay (Empirical Evidence from European Mobile Markets)

High Correlation between Net Promoter Score and the Development of Consumers' Willingness to Pay (Empirical Evidence from European Mobile Markets) Hgh Correlaton between et Promoter Score and the Development of Consumers' Wllngness to Pay (Emprcal Evdence from European Moble Marets Ths paper shows that the correlaton between the et Promoter Score

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

Macro Factors and Volatility of Treasury Bond Returns

Macro Factors and Volatility of Treasury Bond Returns Macro Factors and Volatlty of Treasury Bond Returns Jngzh Huang Department of Fnance Smeal Colleage of Busness Pennsylvana State Unversty Unversty Park, PA 16802, U.S.A. Le Lu School of Fnance Shangha

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

Does Higher Education Enhance Migration?

Does Higher Education Enhance Migration? DISCUSSION PAPER SERIES IZA DP No. 7754 Does Hgher Educaton Enhance Mgraton? Mka Haapanen Petr Böckerman November 2013 Forschungsnsttut zur Zukunft der Arbet Insttute for the Study of Labor Does Hgher

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000 Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from

More information

Financial Instability and Life Insurance Demand + Mahito Okura *

Financial Instability and Life Insurance Demand + Mahito Okura * Fnancal Instablty and Lfe Insurance Demand + Mahto Okura * Norhro Kasuga ** Abstract Ths paper estmates prvate lfe nsurance and Kampo demand functons usng household-level data provded by the Postal Servces

More information

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

Heterogeneous Paths Through College: Detailed Patterns and Relationships with Graduation and Earnings

Heterogeneous Paths Through College: Detailed Patterns and Relationships with Graduation and Earnings Heterogeneous Paths Through College: Detaled Patterns and Relatonshps wth Graduaton and Earnngs Rodney J. Andrews The Unversty of Texas at Dallas and the Texas Schools Project Jng L The Unversty of Tulsa

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

Fixed income risk attribution

Fixed income risk attribution 5 Fxed ncome rsk attrbuton Chthra Krshnamurth RskMetrcs Group [email protected] We compare the rsk of the actve portfolo wth that of the benchmark and segment the dfference between the two

More information

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable

More information

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA )

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA ) February 17, 2011 Andrew J. Hatnay [email protected] Dear Sr/Madam: Re: Re: Hollnger Canadan Publshng Holdngs Co. ( HCPH ) proceedng under the Companes Credtors Arrangement Act ( CCAA ) Update on CCAA Proceedngs

More information

When Talk is Free : The Effect of Tariff Structure on Usage under Two- and Three-Part Tariffs

When Talk is Free : The Effect of Tariff Structure on Usage under Two- and Three-Part Tariffs 0 When Talk s Free : The Effect of Tarff Structure on Usage under Two- and Three-Part Tarffs Eva Ascarza Ana Lambrecht Naufel Vlcassm July 2012 (Forthcomng at Journal of Marketng Research) Eva Ascarza

More information

14.74 Lecture 5: Health (2)

14.74 Lecture 5: Health (2) 14.74 Lecture 5: Health (2) Esther Duflo February 17, 2004 1 Possble Interventons Last tme we dscussed possble nterventons. Let s take one: provdng ron supplements to people, for example. From the data,

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

The Investor Recognition Hypothesis:

The Investor Recognition Hypothesis: The Investor Recognton Hypothess: the New Zealand Penny Stocks Danel JP Cha, Department of Accountng and Fnance, onash Unversty, Clayton 3168, elbourne, Australa, and Danel FS Cho, Department of Fnance,

More information

Factors Affecting Outsourcing for Information Technology Services in Rural Hospitals: Theory and Evidence

Factors Affecting Outsourcing for Information Technology Services in Rural Hospitals: Theory and Evidence Factors Affectng Outsourcng for Informaton Technology Servces n Rural Hosptals: Theory and Evdence Bran E. Whtacre Department of Agrcultural Economcs Oklahoma State Unversty [email protected] J.

More information

A Multistage Model of Loans and the Role of Relationships

A Multistage Model of Loans and the Role of Relationships A Multstage Model of Loans and the Role of Relatonshps Sugato Chakravarty, Purdue Unversty, and Tansel Ylmazer, Purdue Unversty Abstract The goal of ths paper s to further our understandng of how relatonshps

More information

Evaluating the Effects of FUNDEF on Wages and Test Scores in Brazil *

Evaluating the Effects of FUNDEF on Wages and Test Scores in Brazil * Evaluatng the Effects of FUNDEF on Wages and Test Scores n Brazl * Naérco Menezes-Flho Elane Pazello Unversty of São Paulo Abstract In ths paper we nvestgate the effects of the 1998 reform n the fundng

More information

The Effects of Human Resource Management on Workers' Wages and Firm Productivity

The Effects of Human Resource Management on Workers' Wages and Firm Productivity The Effects of Human Resource Management on Workers' Wages and Frm Productvty ROA-RM-2003/9E Andres de Grp, Inge Seben Research Centre for Educaton and the Labour Market Faculty of Economcs and Busness

More information

Brigid Mullany, Ph.D University of North Carolina, Charlotte

Brigid Mullany, Ph.D University of North Carolina, Charlotte Evaluaton And Comparson Of The Dfferent Standards Used To Defne The Postonal Accuracy And Repeatablty Of Numercally Controlled Machnng Center Axes Brgd Mullany, Ph.D Unversty of North Carolna, Charlotte

More information

Analyzing Search Engine Advertising: Firm Behavior and Cross-Selling in Electronic Markets

Analyzing Search Engine Advertising: Firm Behavior and Cross-Selling in Electronic Markets WWW 008 / Refereed Track: Internet Monetzaton - Sponsored Search Aprl -5, 008 Beng, Chna Analyzng Search Engne Advertsng: Frm Behavor and Cross-Sellng n Electronc Markets Anndya Ghose Stern School of Busness

More information

Statistical Methods to Develop Rating Models

Statistical Methods to Develop Rating Models Statstcal Methods to Develop Ratng Models [Evelyn Hayden and Danel Porath, Österrechsche Natonalbank and Unversty of Appled Scences at Manz] Source: The Basel II Rsk Parameters Estmaton, Valdaton, and

More information

1. Measuring association using correlation and regression

1. Measuring association using correlation and regression How to measure assocaton I: Correlaton. 1. Measurng assocaton usng correlaton and regresson We often would lke to know how one varable, such as a mother's weght, s related to another varable, such as a

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna [email protected] Abstract.

More information

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy Fnancal Tme Seres Analyss Patrck McSharry [email protected] www.mcsharry.net Trnty Term 2014 Mathematcal Insttute Unversty of Oxford Course outlne 1. Data analyss, probablty, correlatons, vsualsaton

More information

Exhaustive Regression. An Exploration of Regression-Based Data Mining Techniques Using Super Computation

Exhaustive Regression. An Exploration of Regression-Based Data Mining Techniques Using Super Computation Exhaustve Regresson An Exploraton of Regresson-Based Data Mnng Technques Usng Super Computaton Antony Daves, Ph.D. Assocate Professor of Economcs Duquesne Unversty Pttsburgh, PA 58 Research Fellow The

More information

The Current Employment Statistics (CES) survey,

The Current Employment Statistics (CES) survey, Busness Brths and Deaths Impact of busness brths and deaths n the payroll survey The CES probablty-based sample redesgn accounts for most busness brth employment through the mputaton of busness deaths,

More information

Using an Ordered Probit Regression Model to Assess the Performance of Real Estate Brokers

Using an Ordered Probit Regression Model to Assess the Performance of Real Estate Brokers Usng an Ordered Probt Regresson Model to Assess the Performance of Real Estate Brokers Chun-Chang Lee, Department of Real Estate Management, Natonal Pngtung Insttute of Commerce, Tawan Shu-Man You, Department

More information

THE DETERMINANTS OF THE TUNISIAN BANKING INDUSTRY PROFITABILITY: PANEL EVIDENCE

THE DETERMINANTS OF THE TUNISIAN BANKING INDUSTRY PROFITABILITY: PANEL EVIDENCE THE DETERMINANTS OF THE TUNISIAN BANKING INDUSTRY PROFITABILITY: PANEL EVIDENCE Samy Ben Naceur ERF Research Fellow Department of Fnance Unversté Lbre de Tuns Avenue Khéreddne Pacha, 002 Tuns Emal : [email protected]

More information

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

How To Study The Nfluence Of Health Insurance On Swtchng

How To Study The Nfluence Of Health Insurance On Swtchng Workng Paper n 07-02 The nfluence of supplementary health nsurance on swtchng behavour: evdence on Swss data Brgtte Dormont, Perre- Yves Geoffard, Karne Lamraud The nfluence of supplementary health nsurance

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information

TESTING FOR EVIDENCE OF ADVERSE SELECTION IN DEVELOPING AUTOMOBILE INSURANCE MARKET. Oksana Lyashuk

TESTING FOR EVIDENCE OF ADVERSE SELECTION IN DEVELOPING AUTOMOBILE INSURANCE MARKET. Oksana Lyashuk TESTING FOR EVIDENCE OF ADVERSE SELECTION IN DEVELOPING AUTOMOBILE INSURANCE MARKET by Oksana Lyashuk A thess submtted n partal fulfllment of the requrements for the degree of Master of Arts n Economcs

More information

A Secure Password-Authenticated Key Agreement Using Smart Cards

A Secure Password-Authenticated Key Agreement Using Smart Cards A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,

More information

Forecasting the Direction and Strength of Stock Market Movement

Forecasting the Direction and Strength of Stock Market Movement Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye [email protected] [email protected] [email protected] Abstract - Stock market s one of the most complcated systems

More information