Methodology and Principles of Analysis
|
|
- Rolf Curtis
- 7 years ago
- Views:
Transcription
1 Methodology and Prncples of Analyss What s the IMD World Compettveness book? The IMD World Compettveness book (WCY) s the world s most thorough and comprehensve annual report on the compettveness of natons, publshed wthout nterrupton snce It s consdered to be the frst access pont to world compettveness, provdng objectve benchmarkng and trends, as well as a worldwde reference pont to statstcs and opnon data that hghlght the compettveness of key economes. The WCY analyzes and ranks how natons and enterprses manage the totalty of ther competences to acheve ncreased prosperty. An economy s compettveness cannot be reduced only to GDP and productvty because enterprses must also cope wth poltcal, socal and cultural dmensons. Therefore natons need to provde an envronment that has the most effcent structure, nsttutons and polces that encourage the compettveness of enterprses. Ths year, the WCY provdes etensve coverage of 61 economes, all key players n world markets. All economes are chosen because of ther mpact on the global economy and the avalablty of comparable nternatonal statstcs. Over 340 compettveness crtera have been selected as a result of etensve research usng economc lterature, nternatonal, natonal and regonal sources and feedback from the busness communty, government agences and academcs. The crtera are revsed and updated on a regular bass as new theory, research and data become avalable and as the global economy evolves. In the 016 book, we added the followng four statstcal crtera: Adjusted consumer prce nflaton (absolute s); Rule of Law (nde); ICT ervce Eports (%); Researchers n R&D (per mllon); and Women wth degrees (%). We also deleted one crtera whch no longer had an mportant mpact on compettveness: Fed telephone lnes. Moreover a long-establshed collaboraton wth our Partner Insttutes worldwde also helps ensure that the data s relable, accurate and as up-to-date as possble. Ths year, we have the prvlege of collaboratng wth a unque network of 55 Partner Insttutes. Who uses the IMD World Compettveness book? The WCY s an nvaluable, dynamc and constantly updated benchmark for decson-makers. The busness communty uses t to help determne and valdate nvestment plans and to assess locatons for new operatons. Governments fnd mportant ndcators to benchmark ther polces aganst those of other countres, to evaluate performance over TABLE 1 Compettveness Factors Economc Performance (83 crtera) Government Effcency (73 crtera) Macro-economc evaluaton of the domestc economy: Domestc Economy, Internatonal Trade, Internatonal Investment, Employment and Prces. Etent to whch government polces are conducve to compettveness: Publc Fnance, Fscal Polcy, Insttutonal Framework, Busness Legslaton and ocetal Framework. Busness Effcency (71 crtera) Etent to whch the natonal envronment encourages enterprses to perform n an nnovatve, proftable and responsble manner: Productvty and Effcency, Labor Market, Fnance, Management Practces and Atttudes and Values. (115 crtera) Etent to whch basc, technologcal, scentfc and human resources meet the needs of busness: Basc, Technologcal, centfc, Health and Envronment and Educaton. 484 IMD WORLD COMPETITIVEE YEARBOOK 016
2 tme and to learn from the success stores of natons that have mproved ther compettveness. The academc world also uses the eceptonal wealth of data n the WCY to better understand and analyze how natons (and not only enterprses) compete n world markets. How does the IMD World Compettveness book measure Compettveness? Over the past two decades, the methodology to assess the compettveness of natons has constantly been fne-tuned to take nto account the evoluton of the global envronment and new research. In ths way, the WCY keeps pace wth structural changes n natonal envronments and the rapdly changng technologcal revoluton. We make these changes gradually so that we can contnue to compare the results from year to year and hghlght the evoluton of an economy s performance relatve to the compettveness of others. Based on analyss made by leadng scholars and by our own research and eperence, the methodology of the WCY dvdes the natonal envronment nto four man Compettveness Factors: Economc Performance, Government Effcency, Busness Effcency and. Each of these four factors has been broken down nto fve sub-factors, each hghlghtng dfferent facets of compettveness. Altogether, the WCY features 0 such sub-factors. (ee Tables 1 and ). ome of these sub-factors have been further dvded nto categores that defne compettveness ssues more eplctly. All crtera have been grouped nto these sub-factors and categores. However, each sub-factor does not necessarly nclude the same number of crtera (for eample, t takes more crtera to assess Educaton than to evaluate Prces). Each sub-factor, ndependently of the number of crtera t contans, has the same weght n the overall consoldaton of results, that s 5% ( ). Ths allows us to lock the weght of the sub-factors regardless of the number of crtera they nclude. We beleve that ths approach mproves the relablty of the results and helps ensure a hgh degree of compatblty wth past results. tatstcs are sometmes prone to errors or omssons Lockng the weghts of sub-factors has the same functon as buldng fre barrers ; t prevents problems from spreadng n a dsproportonate way. In addton, the past fve years results are shown for every economy, n order to hghlght the evoluton of ts compettveness. The WCY uses dfferent types of data to measure quantfable and qualtatve ssues separately. tatstcal ndcators are acqured from nternatonal, natonal and regonal organzatons, prvate nsttutons and our network of 55 Partner Insttutes worldwde. These statstcs are referred to n the WCY as Hard Data and nclude 137 crtera used to determne the overall rankngs and 87 crtera presented as valuable background nformaton but not used n the calculaton of the rankngs. The Hard Data represent a weght of appromately two-thrds n the overall rankng. An addtonal 118 crtera are drawn from our annual Eecutve Opnon urvey and are referred to n the WCY as urvey Data. The survey questons are ncluded n the book as ndvdual crtera and are also used n calculatng the overall rankng, representng a weght of appromately one-thrd. Eecutve Opnon urvey Every year, we conduct an Eecutve Opnon urvey n order to complement the statstcs that we use from nternatonal, natonal and regonal sources. Whereas the Hard Data shows how compettveness s measured over a specfc perod of tme, the urvey Data measures compettveness as t s perceved. The survey was desgned to quantfy ssues that are not easly measured, for eample: management practces, labor relatons, corrupton, envronmental concerns or qualty of lfe. The survey responses reflect present and future perceptons of compettveness by busness eecutves who are dealng wth nternatonal busness stuatons. Ther responses are more recent and closer to realty snce there s no tme lag, whch s often a problem wth Hard Data that shows a pcture of the past. TABLE The Breakdown of Compettveness Factors Economc Performance Domestc Economy Internatonal Trade Internatonal Investment Government Effcency Publc Fnance Fscal Polcy Insttutonal Framework Busness Effcency Productvty Labor Market Fnance Basc Technologcal centfc Employment Busness Legslaton Management Practces Health and Envronment Prces ocetal Framework Atttudes and Values Educaton IMD WORLD COMPETITIVEE YEARBOOK
3 The Eecutve Opnon urvey s sent to eecutves n topand mddle management n all of the economes covered by the WCY. In order to be statstcally representatve, we select a sample sze whch s proportonal to the GDP of each economy. The sample of respondents are representatve of the entre economy, coverng a cross-secton of the busness communty n each economc sector: prmary, manufacturng and servces, based on ther contrbuton to the GDP of the economy. The survey respondents are natonals or epatrates, located n local and foregn enterprses n the economy and whch, n general, have an nternatonal dmenson. They are asked to evaluate the present and epected compettveness condtons of the economy n whch they work and have resded durng the past year, drawng from the wealth of ther nternatonal eperence, thereby ensurng that the evaluatons portray an n-depth knowledge of ther partcular envronment. We try to contact most IMD alumn and all responses returned to IMD are treated as confdental. The surveys are sent n February and are returned n Aprl; n 016, we receved more than 5,400 responses from the 61 economes worldwde. The respondents assess the compettveness ssues by answerng the questons on a scale of 1 to 6. The average for each economy s then calculated and converted nto a 0 to 10 scale. Fnally, the survey responses are transformed nto ther standard devaton s, from whch the rankngs are calculated. How are the rankngs computed? The essental buldng block for the rankngs s the standardzed for all the crtera, whch we call the TD. The frst step s to compute the TD for each crteron usng the data avalable for all of the economes. (For more detals, see Data Processng Methodology that follows). We then rank the economes based on the 55 crtera that are used n the aggregaton: 137 Hard and 118 urvey data. The addtonal 87 crtera are presented for background nformaton only. They are not ncluded n the aggregaton of data to determne the overall rankngs. In most cases, a hgher s better, for eample, for Gross Domestc Product; the economy wth the hghest standardzed s ranked frst whle the one wth the lowest s last. However, wth some crtera the nverse may be true, where the lowest s the most compettve, for eample, Government Debt. In these cases, a reverse rankng s used: the economy wth the hghest standardzed s ranked last and the one wth the lowest s frst. nce all economes statstcs are standardzed, they can be aggregated to compute ndces. We use these nde s, whch we call scores, to compute the followng rankngs: the Overall coreboard, Compettveness Factor rankngs and ub-factor rankngs. When data s unavalable or too old to be relevant for a partcular economy, the name of the economy appears at the bottom of the statstcal table for the crteron TABLE 3 Computng the Rankngs 486 IMD WORLD COMPETITIVEE YEARBOOK 016
4 beng measured and a dash s shown. In the aggregaton of the statstcs, all mssng data are gven TD s mputed from the average of estng data wthn the sub-factor. ee Table 3: Computng the Rankngs. Data Processng Methodology There are 34 crtera n the IMD World Compettveness book, of whch 55 are used to calculate the Overall Compettveness rankngs. The remanng 87 crtera are presented as background nformaton only. Every economy s performance s assessed for each crteron usng the tandard Devaton Method (DM) whch s descrbed below. In most cases, a hgher s better, for eample, for Gross Domestc Product; the economy wth the hghest standardzed s ranked frst whle the one wth the lowest s last. However, wth some crtera, the lowest s the most compettve, whch s the case for Consumer Prce Inflaton. In these cases, a reverse rankng s used: the economy wth the hghest standardzed s ranked last and the one wth the lowest s frst. tandard Devaton Method As most of the crtera are scaled dfferently, a comparable standard scale s used to compute the overall, factor and subfactor results. The tandard Devaton Method (DM) s used. It measures the relatve dfference between the economes performances; therefore, each country s relatve poston n the fnal rankngs s more accurately assessed. Frst, for each crteron, we compute the average for the entre populaton of economes. Then, the standard devaton s calculated usng the followng formula: ( - ) ( ) - The TD for crtera s calculated as follows: ( TD ) Where: orgnal Annual real growth rate 1 average of all the economes number of economes -1 1 standard devaton Aggregaton Average of Data annual and percentage Rankngs growth rate tandardzed s are calculated for each ndvdual crteron, based on the TD Method descrbed above. All Hard data ndcators are revewed to determne the shape of the dstrbuton. on-normal data s normalzed by takng Deflated fnal the log. The TD s then calculated usng the logged s Y The sub-factor rankngs are determned by calculatng the average of the crtera TD s that make up the sub-factor, ecludng the background crtera. All the hard data have a weght of 1. The survey data are weghted so that the survey accounts for one-thrd n the determnaton of the overall rankng. Thus, for 016, each survey crteron has a weght of When data s unavalable for partcular economes, the mssng s are replaced by TD s that are mputed from the average of estng data wthn the sub-factor. Takng the average for each sub-factor enables us to lock the weght of the 0 sub-factors ndependently of the number of crtera they contan so that each sub-factor has an equal mpact on the overall rankng, that s 5%. et, we aggregate the sub-factor TD s to determne the Compettveness Factor rankngs. Only ranked crtera are aggregated to obtan these rankngs. The TD s of the Compettveness Factors are then aggregated to determne the Overall coreboard. All of the ranked crtera comprsed n the four compettveness factors are thus ncluded n the consoldaton of data. -1 Fnally, we compute each of the economes standardzed The 87 remanng crtera are presented as background s (TD) for the ( 55 TDranked crtera. ) The TD s calculated nformaton only and are not ncluded n any aggregaton by subtractng the average of the 61 economes from the of data to determne rankngs. ome background data economy s orgnal and then dvdng the result by the are presented n rankng order whle others are shown standard devaton. alphabetcally, dependng on what the data s meant to measure. Annual real growth rate 1 nce all of the statstcs are standardzed, they can be -1 1 aggregated 100 to compute ndces. We use these nde s, whch we call scores, to compute the rankngs for the four Compettveness Factors and the Overall coreboard Average annual percentage growth rate It should -1be noted that across - the four Compettveness Factors, only one economy n 1 wll have a equal to 100 and one economy wll have a equal to 0. To calculate the Deflated fnal IMD WORLD COMPETITIVEE YEARBOOK
5 ( TD ) Overall coreboard, we take the Annual average real of growth the four rate Factors. Average annual 1percentage 100 growth rate (n number of scores and then convert them nto an nde wth the leadng perods): -1 1 economy gven a of urvey Crtera... Average annual percentage growth rate -1 - Each year we conduct a survey to quantfy ssues related to n 1 compettveness for whch there are no hard statstcs. The survey s an n-depth 118-pont questonnare sent to top- But growth formulas may have shortcomngs. The average and mddle management n the 61 economes covered by annual growth rate fals to reveal the real etent of changes, as the WCY. The dstrbuton Deflated reflects fnal a breakdown of ndustry t flattens or nflates year-to-year growth rates. For eample, by sectors: Prmary, Industry/Manufacturng and ervces/ an average growth rate over two years mght be calculated Fnance. In order to be statstcally representatve, 100 we select a at percent, whle 100 n realty there was 5 percent growth sample sze whch s proportonal to the GDP breakdown of between the frst and second years, and 5 percent between economc sectors of the economy. the second and thrd years. The average annual growth s used only when data vary wdely n the mddle years of a perod, ( - ) In 016, we had more than 5,400 eecutves respond to the and less wdely between the frst and last years of the perod. survey for an average of appromately 100 per economy. The It s also used n cases where t s mpossble to combne target lst s determned by IMD and has been developed over negatve and postve ntal and fnal s. Ths approach many years wth the collaboraton of our Partner Insttutes gves a more accurate pcture than does the compound rate worldwde. Confdentalty s ensured and the lst s revsed under these crcumstances. and updated every year. Respondents are only answerng ( TD wth ) regard to the economy n whch they have worked and resded for the past year; therefore, the results reflect wdespread Deflated s knowledge about each economy and draw on the wealth of ther nternatonal eperence. The followng formula s used when calculatng real Annual real growth rate rates from nomnal s, because 1 t takes nto The respondents assess the compettveness ssues by account cumulatve nflaton (e.g. real growth n Household -1 1 answerng the questons on a scale of 1-6, wth the response Consumpton Ependture). The 100 fnal deflated s then 1 generally ndcatng a negatve percepton and 6 ndcatng used to obtan the annual real growth rate. the most postve percepton. The WCY calculates the average -1-1 for each economy, then the data s converted from a Takng a 5-year tme span as an eample: 1-6 scale to a 0-10 scale, usng the formula Average below. annual Fnally, percentage growth rate -1 - the survey responses are transformed nto ther standard Deflated fnal ( nflaton rate): n 1 devaton s, from whch the rankngs are calculated. -.. ( * ) where average Deflated fnal ( - ) lue) Trends A trend or growth rate, whle offerng a more dynamc assessment than absolute s, s meanngful only f a economy s actual comparatve advantage or dsadvantage at one pont n tme s also measured. The formulas used to calculate trends and growth rates are eplaned below: 1. Annual real growth rate ( nflaton rate): al real growth rate al percentage growth rate IMD WORLD COMPETITIVEE YEARBOOK n 1 016
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 informationOverview of monitoring and evaluation
540 Toolkt to Combat Traffckng n Persons Tool 10.1 Overvew of montorng and evaluaton Overvew Ths tool brefly descrbes both montorng and evaluaton, and the dstncton between the two. What s montorng? Montorng
More informationAnswer: 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 informationAn 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 informationStudy on Model of Risks Assessment of Standard Operation in Rural Power Network
Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,
More informationbenefit 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 informationCalculation 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 informationData Mining from the Information Systems: Performance Indicators at Masaryk University in Brno
Data Mnng from the Informaton Systems: Performance Indcators at Masaryk Unversty n Brno Mkuláš Bek EUA Workshop Strasbourg, 1-2 December 2006 1 Locaton of Brno Brno EUA Workshop Strasbourg, 1-2 December
More informationDEFINING %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 informationCHOLESTEROL 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 informationNumber 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 informationMultiple-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 informationTraffic-light a stress test for life insurance provisions
MEMORANDUM Date 006-09-7 Authors Bengt von Bahr, Göran Ronge Traffc-lght a stress test for lfe nsurance provsons Fnansnspetonen P.O. Box 6750 SE-113 85 Stocholm [Sveavägen 167] Tel +46 8 787 80 00 Fax
More informationSample Design in TIMSS and PIRLS
Sample Desgn n TIMSS and PIRLS Introducton Marc Joncas Perre Foy TIMSS and PIRLS are desgned to provde vald and relable measurement of trends n student achevement n countres around the world, whle keepng
More informationForecasting the Direction and Strength of Stock Market Movement
Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems
More informationStaff 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 informationThe 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 information7.5. 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 informationDemographic and Health Surveys Methodology
samplng and household lstng manual Demographc and Health Surveys Methodology Ths document s part of the Demographc and Health Survey s DHS Toolkt of methodology for the MEASURE DHS Phase III project, mplemented
More informationTo 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 informationPRIVATE 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 informationProceedings of the Annual Meeting of the American Statistical Association, August 5-9, 2001
Proceedngs of the Annual Meetng of the Amercan Statstcal Assocaton, August 5-9, 2001 LIST-ASSISTED SAMPLING: THE EFFECT OF TELEPHONE SYSTEM CHANGES ON DESIGN 1 Clyde Tucker, Bureau of Labor Statstcs James
More informationRisk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008
Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn
More informationThe 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 wangtngzhong2@sna.cn Abstract.
More informationAssessment of the legal framework
46 Toolkt to Combat Traffckng n Persons Tool 2.4 Assessment of the legal framework Overvew Ths tool offers gudelnes and resources for assessng a natonal legal framework. See also Tool 3.2 on crmnalzaton
More informationQuantification of qualitative data: the case of the Central Bank of Armenia
Quantfcaton of qualtatve data: the case of the Central Bank of Armena Martn Galstyan 1 and Vahe Movssyan 2 Overvew The effect of non-fnancal organsatons and consumers atttudes on economc actvty s a subject
More informationTexas Instruments 30X IIS Calculator
Texas Instruments 30X IIS Calculator Keystrokes for the TI-30X IIS are shown for a few topcs n whch keystrokes are unque. Start by readng the Quk Start secton. Then, before begnnng a specfc unt of the
More informationHP Mission-Critical Services
HP Msson-Crtcal Servces Delverng busness value to IT Jelena Bratc Zarko Subotc TS Support tm Mart 2012, Podgorca 2010 Hewlett-Packard Development Company, L.P. The nformaton contaned heren s subject to
More informationOn 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 informationSPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:
SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and
More informationProblem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.
Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When
More informationAnalysis 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 informationLIFETIME 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 informationCapacity-building and training
92 Toolkt to Combat Traffckng n Persons Tool 2.14 Capacty-buldng and tranng Overvew Ths tool provdes references to tranng programmes and materals. For more tranng materals, refer also to Tool 9.18. Capacty-buldng
More information3. Present value of Annuity Problems
Mathematcs of Fnance The formulae 1. A = P(1 +.n) smple nterest 2. A = P(1 + ) n compound nterest formula 3. A = P(1-.n) deprecaton straght lne 4. A = P(1 ) n compound decrease dmshng balance 5. P = -
More informationDesign and Development of a Security Evaluation Platform Based on International Standards
Internatonal Journal of Informatcs Socety, VOL.5, NO.2 (203) 7-80 7 Desgn and Development of a Securty Evaluaton Platform Based on Internatonal Standards Yuj Takahash and Yoshm Teshgawara Graduate School
More informationAssessing the Fairness of a Firm s Allocation of Shares in Initial Public Offerings: Adapting a Measure from Biostatistics
Assessng the Farness of a Frm s Allocaton of Shares n Intal Publc Offerngs: Adaptng a Measure from Bostatstcs by Efstatha Bura and Joseph L. Gastwrth Department of Statstcs The George Washngton Unversty
More informationHow 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 informationThe Use of Analytics for Claim Fraud Detection Roosevelt C. Mosley, Jr., FCAS, MAAA Nick Kucera Pinnacle Actuarial Resources Inc.
Paper 1837-2014 The Use of Analytcs for Clam Fraud Detecton Roosevelt C. Mosley, Jr., FCAS, MAAA Nck Kucera Pnnacle Actuaral Resources Inc., Bloomngton, IL ABSTRACT As t has been wdely reported n the nsurance
More informationThe 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 information1.1 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 informationLocation Factors for Non-Ferrous Exploration Investments
Locaton Factors for Non-Ferrous Exploraton Investments Irna Khndanova Unversty of Denver Ths paper analyzes the relatve mportance of geologcal potental and nvestment clmate for nonferrous mnerals exploraton
More informationTrivial lump sum R5.0
Optons form Once you have flled n ths form, please return t wth your orgnal brth certfcate to: Premer PO Box 2067 Croydon CR90 9ND. Fll n ths form usng BLOCK CAPITALS and black nk. Mark all answers wth
More informationBank Credit Conditions and their Influence on Productivity Growth: Company-level Evidence
Bank Credt Condtons and ther Influence on Productvty Growth: Company-level Evdence Rebecca Rley*, Chara Rosazza Bondbene* and Garry Young** *Natonal Insttute of Economc and Socal Research & Centre For
More informationScreening Tools Chart As of November 2011
Screenng Chart As of November 2011 Ths tools chart reflects the results of the fourth annual revew of screenng tools by the Center s Techncal Revew Commttee (TRC). The Center defnes screenng as follows:
More informationComplex Service Provisioning in Collaborative Cloud Markets
Melane Sebenhaar, Ulrch Lampe, Tm Lehrg, Sebastan Zöller, Stefan Schulte, Ralf Stenmetz: Complex Servce Provsonng n Collaboratve Cloud Markets. In: W. Abramowcz et al. (Eds.): Proceedngs of the 4th European
More informationEfficient Project Portfolio as a tool for Enterprise Risk Management
Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse
More informationSelecting Best Employee of the Year Using Analytical Hierarchy Process
J. Basc. Appl. Sc. Res., 5(11)72-76, 2015 2015, TextRoad Publcaton ISSN 2090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com Selectng Best Employee of the Year Usng Analytcal Herarchy
More informationHOUSEHOLDS 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 informationObjectives How Can Pharmacy Staff Add to the Accountability of ACO s?
Objectves How Can Pharmacy Staff Add to the Accountablty of ACO s? Sandra Van Trease Group Presdent, BJC HealthCare Presdent, BJC HealthCare ACO, LLC The speaker has no conflct of nterest to declare. 1.
More informationManagement 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 informationHot and easy in Florida: The case of economics professors
Research n Hgher Educaton Journal Abstract Hot and easy n Florda: The case of economcs professors Olver Schnusenberg The Unversty of North Florda Cheryl Froehlch The Unversty of North Florda We nvestgate
More informationDO 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, fcomran@usfca.edu Tatana Fedyk,
More informationA 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 informationLecture 3: Force of Interest, Real Interest Rate, Annuity
Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and
More informationThe program for the Bachelor degrees shall extend over three years of full-time study or the parttime equivalent.
Bachel of Commerce Bachel of Commerce (Accountng) Bachel of Commerce (Cpate Fnance) Bachel of Commerce (Internatonal Busness) Bachel of Commerce (Management) Bachel of Commerce (Marketng) These Program
More informationFixed income risk attribution
5 Fxed ncome rsk attrbuton Chthra Krshnamurth RskMetrcs Group chthra.krshnamurth@rskmetrcs.com We compare the rsk of the actve portfolo wth that of the benchmark and segment the dfference between the two
More informationERP Software Selection Using The Rough Set And TPOSIS Methods
ERP Software Selecton Usng The Rough Set And TPOSIS Methods Under Fuzzy Envronment Informaton Management Department, Hunan Unversty of Fnance and Economcs, No. 139, Fengln 2nd Road, Changsha, 410205, Chna
More informationRESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.
ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract
More informationWorld Economic Vulnerability Monitor (WEVUM) Trade shock analysis
World Economc Vulnerablty Montor (WEVUM) Trade shock analyss Measurng the mpact of the global shocks on trade balances va prce and demand effects Alex Izureta and Rob Vos UN DESA 1. Non-techncal descrpton
More information14.74 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 informationRisk Model of Long-Term Production Scheduling in Open Pit Gold Mining
Rsk Model of Long-Term Producton Schedulng n Open Pt Gold Mnng R Halatchev 1 and P Lever 2 ABSTRACT Open pt gold mnng s an mportant sector of the Australan mnng ndustry. It uses large amounts of nvestments,
More informationTraffic State Estimation in the Traffic Management Center of Berlin
Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,
More informationConstruction Rules for Morningstar Canada Target Dividend Index SM
Constructon Rules for Mornngstar Canada Target Dvdend Index SM Mornngstar Methodology Paper October 2014 Verson 1.2 2014 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property
More informationReturns 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 informationTHE 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 : sbennaceur@eudoramal.com
More informationPerformance attribution for multi-layered investment decisions
Performance attrbuton for mult-layered nvestment decsons 880 Thrd Avenue 7th Floor Ne Yor, NY 10022 212.866.9200 t 212.866.9201 f qsnvestors.com Inna Oounova Head of Strategc Asset Allocaton Portfolo Management
More informationiavenue iavenue i i i iavenue iavenue iavenue
Saratoga Systems' enterprse-wde Avenue CRM system s a comprehensve web-enabled software soluton. Ths next generaton system enables you to effectvely manage and enhance your customer relatonshps n both
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 #... 9 Sheffeld Economc Research Paper Seres SERP Number: 2011010 ISSN 1749-8368 Sarah Brown, Aurora Ortz-Núñez and Karl Taylor Educatonal loans and
More informationInstitute 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 informationFIGHTING INFORMALITY IN SEGMENTED LABOR MARKETS A general equilibrium analysis applied to Uruguay *
Vol. 48, No. 1 (May, 2011), 1-37 FIGHTING INFORMALITY IN SEGMENTED LABOR MARKETS A general equlbrum analyss appled to Uruguay * Carmen Estrades ** María Inés Terra ** As n other Latn Amercan countres,
More informationPower-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts
Power-of-wo Polces for Sngle- Warehouse Mult-Retaler Inventory Systems wth Order Frequency Dscounts José A. Ventura Pennsylvana State Unversty (USA) Yale. Herer echnon Israel Insttute of echnology (Israel)
More informationQuarterly Non-financial Accounts by Institutional Sector (QSA) in Belgium Sources and Methods
Quarterly Non-fnancal Accounts by Insttutonal Sector (QSA) n Belgum and Second edton May 2010 2. TABLE OF CONTENTS 1. General descrpton... 4 1.1. Organsatonal aspects... 4 1.2.... 5 1.3.... 7 1.3.1. General
More informationAnalysis of Demand for Broadcastingng servces
Analyss of Subscrpton Demand for Pay-TV Manabu Shshkura * Norhro Kasuga ** Ako Tor *** Abstract In ths paper, we wll conduct an analyss from an emprcal perspectve concernng broadcastng demand behavor and
More informationNEURO-FUZZY INFERENCE SYSTEM FOR E-COMMERCE WEBSITE EVALUATION
NEURO-FUZZY INFERENE SYSTEM FOR E-OMMERE WEBSITE EVALUATION Huan Lu, School of Software, Harbn Unversty of Scence and Technology, Harbn, hna Faculty of Appled Mathematcs and omputer Scence, Belarusan State
More informationSIMPLE 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 informationEvaluating 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 informationChapter 7: Answers to Questions and Problems
19. Based on the nformaton contaned n Table 7-3 of the text, the food and apparel ndustres are most compettve and therefore probably represent the best match for the expertse of these managers. Chapter
More informationPRODUCT AND SERVICES OVERVIEW. The elements for assessing and growing leadership talent
PRODUCT AND SERVICES OVERVIEW The elements for assessng and growng leadershp talent 1 Who s The Booth Company? We are the publsher and admnstrator of 360 degree feedback surveys based on the Task Cycle,
More informationSTRATEGIC PLAN TORINO METROPOLI 2025
Tor nopl an Sc ent f ccomm t t ee FI RSTMEETI NG Tur n, 910J anuar y2014 STRATEGIC PLAN TORINO METROPOLI 2025 In July 2012, Mayor Fassno launched Torno s thrd Strategc Plannng effort. After a perod of
More informationMINIMISING INVENTORY COSTS BY PROPERLY CHOOSING THE LEVEL OF SAFETY STOCK
ECONOMIC AND BUSINESS REVIEW VOL. No. 2 2009 09 7 09 MINIMISING INVENTORY COSTS BY PROPERLY CHOOSING THE LEVEL OF SAFETY STOCK LILJANA FERBAR TRATAR* ABSTRACT: Markets are everyday becomng ever more demandng
More informationLAW ENFORCEMENT TRAINING TOOLS. Training tools for law enforcement officials and the judiciary
chapter 5 Law enforcement and prosecuton 261 LAW ENFORCEMENT TRAINING TOOLS Tool 5.20 Tranng tools for law enforcement offcals and the judcary Overvew Ths tool recommends resources for tranng law enforcement
More informationStress test for measuring insurance risks in non-life insurance
PROMEMORIA Datum June 01 Fnansnspektonen Författare Bengt von Bahr, Younes Elonq and Erk Elvers Stress test for measurng nsurance rsks n non-lfe nsurance Summary Ths memo descrbes stress testng of nsurance
More informationAutomobile Demand Forecasting: An Integrated Model of PLS Regression and ANFIS
Automoble Demand Forecastng: An Integrated Model of PLS Regresson and ANFIS 1 SUN Bao-feng, 2 L Bo-ln, 3 LI Gen-dao, 4 ZHANG Ka-mng 1. College of Transportaton, sunbf@jlu.edu.cn 2. College of Transportaton,
More informationThe demand for private health care in the UK
Journal of Health Economcs 19 2000 855 876 www.elsever.nlrlocatereconbase The demand for prvate health care n the UK Carol Propper ) Department of Economcs, CASE and CEPR, UnÕersty of Brstol, Brstol BS8
More informationIntra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error
Intra-year Cash Flow Patterns: A Smple Soluton for an Unnecessary Apprasal Error By C. Donald Wggns (Professor of Accountng and Fnance, the Unversty of North Florda), B. Perry Woodsde (Assocate Professor
More informationSection 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 informationEvaluation and use of indicators of insurance companies investment activities
Investment Management and Fnancal Innovatons, Volume 10, Issue 3, 2013 Olha Kozmenko (Ukrane), Vctora Roenko (Ukrane) Evaluaton and use of ndcators of nsurance companes nvestment actvtes Abstract The paper
More informationGender 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 informationThe Effects of Tax Rate Changes on Tax Bases and the Marginal Cost of Public Funds for Canadian Provincial Governments
The Effects of Tax Rate Changes on Tax Bases and the Margnal Cost of Publc Funds for Canadan Provncal Governments Bev Dahlby a and Ergete Ferede b a Department of Economcs, Unversty of Alberta, Edmonton,
More informationManagement 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 informationWORKING PAPERS. The Impact of Technological Change and Lifestyles on the Energy Demand of Households
ÖSTERREICHISCHES INSTITUT FÜR WIRTSCHAFTSFORSCHUNG WORKING PAPERS The Impact of Technologcal Change and Lfestyles on the Energy Demand of Households A Combnaton of Aggregate and Indvdual Household Analyss
More informationHigh 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 informationSurvey on Virtual Machine Placement Techniques in Cloud Computing Environment
Survey on Vrtual Machne Placement Technques n Cloud Computng Envronment Rajeev Kumar Gupta and R. K. Paterya Department of Computer Scence & Engneerng, MANIT, Bhopal, Inda ABSTRACT In tradtonal data center
More informationTransition Matrix Models of Consumer Credit Ratings
Transton Matrx Models of Consumer Credt Ratngs Abstract Although the corporate credt rsk lterature has many studes modellng the change n the credt rsk of corporate bonds over tme, there s far less analyss
More informationPerformance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application
Internatonal Journal of mart Grd and lean Energy Performance Analyss of Energy onsumpton of martphone Runnng Moble Hotspot Applcaton Yun on hung a chool of Electronc Engneerng, oongsl Unversty, 511 angdo-dong,
More informationSocial Insurance Institution
Socal Insurance Insttuton PENSIONS FROM THE SOCIAL INSURANCE INSTITUTION ESTABLISHED ON THE BASIS OF THE AGREEMENT ON SOCIAL SECURITY BETWEEN THE REPUBLIC OF POLAND AND THE UNITED STATES OF AMERICA Who
More informationFREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES
FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES Zuzanna BRO EK-MUCHA, Grzegorz ZADORA, 2 Insttute of Forensc Research, Cracow, Poland 2 Faculty of Chemstry, Jagellonan
More informationPEER REVIEWER RECOMMENDATION IN ONLINE SOCIAL LEARNING CONTEXT: INTEGRATING INFORMATION OF LEARNERS AND SUBMISSIONS
PEER REVIEWER RECOMMENDATION IN ONLINE SOCIAL LEARNING CONTEXT: INTEGRATING INFORMATION OF LEARNERS AND SUBMISSIONS Yunhong Xu, Faculty of Management and Economcs, Kunmng Unversty of Scence and Technology,
More informationSmall pots lump sum payment instruction
For customers Small pots lump sum payment nstructon Please read these notes before completng ths nstructon About ths nstructon Use ths nstructon f you re an ndvdual wth Aegon Retrement Choces Self Invested
More information