Social long-term care insurance with two-sided altruism

Size: px
Start display at page:

Download "Social long-term care insurance with two-sided altruism"

Transcription

1 IDEI July 2015 Social long-term care insurance wit two-sided altruism Helmut Cremer, Pierre Pestieau, Kerstin Roeder 7

2 Social long-term care insurance wit two-sided altruism 1 Helmut Cremer 2, Pierre Pestieau 3 and Kerstin Roeder 4 July Te autors gratefully acknowledge nancial support from te Caire "Marcé des risques et création de valeur" of te FDR/SCOR, 2 Toulouse Scool of Economics (GREMAQ, IDEI and Institut universitaire de France), 21 Allée de Brienne, Toulouse, France; elmut.cremer@tse-fr.eu. 3 CREPP, Université de Liège; CORE, Université catolique de Louvain, and TSE. 4 University of Augsburg, Germany.

3 Abstract Tis paper studies te design of a social long-term care (LTC) insurance wen altruism is two-sided. Te laissez-faire solution is not e cient, unless tere is perfect altruism. Under full information, te rst-best can be decentralized by a linear subsidy on informal aid, a linear tax on bequests wen te parent is dependent and state speci c lump-sum transfers wic provide insurance. We also study a second-best sceme comprising a LTC bene t, a payroll tax on cildren s earnings and an ineritance tax. Tis sceme redistributes resources across individuals and between te states of nature and te tax on cildren s labor enances informal care to compensate for te cildren s possible less tan full altruism. Keywords: long-term care, social insurance, two-sided altruism JEL: H2, H5

4 1 Introduction Long-term care (LTC) is becoming a major concern for policy makers. Following te rapid aging of our societies, te needs for LTC are expected to grow and yet tere is a lot of uncertainty as ow to nance tose needs; see Norton (2009) and Cremer, Pestieau and Pontière (2012) for an overview. Family solidarity, wic as been te main provider of LTC, is reacing a ceiling, and te market is remains rater tin. 1 Not surprisingly, one would expect tat te state takes te relay. Tis paper studies te design of social LTC insurance wen bot parents and cildren are altruistic towards eac oter. Cildren s altruism is owever only partial. First, it is only triggered by te occurrence of dependency and second it is limited. In a pure market economy te dependent parents ave to devote teir resources to purcase professional care services, but also to leave some bequests to boost informal care. One cannot be but struck by two parallel evolutions: te soaring needs for LTC and te growing sare of inerited wealt in overall capital accumulation; see Piketty and Zucman (2014). LTC is surely not a problem for te very wealty ouseolds, but for many ouseolds LTC can eat up most of teir assets and make it impossible to bequeat anyting. It is tus not surprising tat some people ave tougt of using te proceeds of estate taxation to nance public long-term care. An example of tis is te Englis green paper proposing a voluntary ineritance levy. Accordingly, people in England and Wales could pay a one-o ineritance levy of up to 12,000 in return for free public long-term care in teir old age. Te fee would eiter be deducted from te estates of older people wen tey die or be paid wen tey enter retirement age. 2 1 Te economic literature as identi ed a number of factors tat can explain te low level of LTC insurance demand. Tese include signi cant loading factors due to ig administrative costs, adverse selection in te demand for insurance (Sloan and Norton, 1997; Finkelstein and McGarry, 2006; Brown and Finkelstein, 2007 and 2009) and te existence of ceaper substitutes like family care or public assistance (Pauly, 1990; Zweifel and Strüwe, 1998; Brown and Finkelstein, 2008). 2 See ttp:// accessed 20t July

5 Te aim is to avoid forcing many pensioners to sell teir family omes to fund massive nursing ome bills. Tere is indeed a close link between bequests and long-term care. In a world witout a well-developed LTC insurance market, ouseolds are forced to oversave or to selfinsure. Consequently, in case of good ealt tey end up wit an excess of saving tat can lead to involuntary bequests. It is ten clear tat if it were possible to tax tose bequests, te proceeds could be used to nance long-term care. Actually if some type of insurance, private or public were available, one would end up wit te same result, tat is, a perfect smooting of consumption between te two states of te world, dependency or not. Brunner and Pec (2012) made tat argument by sowing tat a tax on bequests to nance LTC causes a smaller deadweigt loss tan an income or consumption tax. Tis olds true weter or not te parents are altruistic. Te problem is tat in a world wit eterogeneous agents it migt be impossible to distinguis bequests tat are made by dependent parents from tose made by autonomous parents. Te matter gets more complicated wen we look at te case of formal LTC nanced by saving or insurance and informal services coming from cildren. For te time being we assume tat formal and informal care are complements. Dependent parents will ave to excange tose informal services against te prospect of some bequests. If cildren are not altruistic, we will ave a pure quid pro quo excange; if tey are altruistic tey migt elp teir parents even if tese cannot bequeat anyting. Te amount of elp will depend on te extent of lial altruism. In case of perfect altruism, cildren will provide te optimal amount of assistance to teir parents. In a world of identical individuals, te social insurance sceme will serve two purposes: it redistributes resources across te two states of nature and it induces te cild to elp is parent. If individuals di er in te level of teir wage, social insurance must also redistribute resources across individuals. To study tese issues we consider a population consisting of one parent and one 2

6 cild families. Parents are pure altruists towards teir cild, wile te cild s altruism may be imperfect. Parents are retired and ave accumulated some wealt. Tey face a probability of becoming dependent and needing LTC. Te need of LTC requires expenditures of some monetary amount. In case of dependency parents would like to bene t from te aid of teir cildren, wo are ready to elp teir parent out of altruism but also wit te expectation of some ineritance. 3 We caracterize te rst-best allocation and sow tat te laissez-faire is not ef- cient, unless tere is perfect altruism. Under full information te rst-best can be decentralized by a linear subsidy on informal aid, a linear tax on bequests wen te parent is dependent, and state speci c lump-sum transfers wic provide insurance. Next, we study te second-best allocation wen te instruments available are linear (state independent) taxes on bequests and cildren s labor income wic nance a transfer to te dependent elderly. 4 Observe tat te tax on cildren s labor income is in our setting e ectively equivalent to a subsidy on informal care. 5 We rst consider a setting wit ex ante identical individuals. We sow tat bot taxes sould be positive. Te tax on labor wic subsidizes informal care compensates for possible imperfect altruism; tis is like in te rst-best implementation. Bot taxes also provide insurance, and tat is relevant as te rst-best state speci c lump-sum transfers or taxes tat provide full insurance are not available. Labor and bequest taxes are ten used to provide (partial) insurance. Finally, we consider a setting wit ex ante eterogenous families, wic di er in cildren s productivities and parents wealt. We sow tat te results obtained in te omogenous family case carry over. However, te two tax rates now also include a positive redistributive term. Trougout tis paper private LTC insurance is assumed 3 See Pauly (1990) for te preference parents ave for assistance from teir cildren. 4 For non-linear scemes, see Jousten et al. (2006) and Pestieau and Sato (2009). 5 Labor and informal care are te sole possible usages of cildren s time. Tere is no leisure or te amount of leisure is given. 3

7 away. Tis is for te sake of simplicity but also because in most countries te LTC insurance market is extremely tin; see Brown and Finkelstein (2007, 2009). 2 Identical individuals 2.1 Te model setup Consider a population of a size normalized to one, consisting of one parent (subscript p ) and one cild (subscript c ) families. Parents are pure altruists towards teir cild, wile a cild s altruism may be imperfect. Parents are retired and ave accumulated wealt y. Tey face te probability of becoming dependent and needing long-term care. Te need of LTC requires expenditures of amount L. In case of dependency te parent would like to bene t from te aid of is cild, wo is ready to elp is parent out of altruism but also wen receiving some ineritance b. Parents coose te bequest to teir cildren. In case of autonomy, te cild inelastically supplies one unit of labor at a wage rate w. In case te parent needs long-term care, te cild s time spend on te labor market is reduced by te time spend for informal care provision a and gross earnings amount to w(1 a). Care provided by te cild reduces te monetary loss from LTC by (a) L (wit 0 > 0; 00 < 0) since ten te parent requires less professional care services. In sum, te parent s and cild s expected utilities are given by EU p = [H(y + (a) L b) + u(w(1 a) + b)] i + (1 ) u(y b b) + u(w + b b) ; (1) EU c = [u(w(1 a) + b) + H(y + (a) L b)] + (1 ) u(w + b i b) + u(y b b) ; (2) were 2 [0; 1] re ects te cild s degree of altruism and a b indicates te state of staying ealty. Te utility function u is te standard one wereas, H denotes te utility 4

8 for long-term care. Tese functions satisfy u 0 ; H 0 > 0 and u 00 ; H 00 < 0. Furtermore, we assume H(x) < u(x) for any x, due to te loss of autonomy. Te timing of te model is as follows: te government moves rst and announces its policy (stage 0). Ten, te parent and te cild play te following two-stage game. In stage 1, te parent cooses (for eac state of nature) a level of bequest. In stage 2, after te state of nature is revealed, cildren decide ow muc informal care to provide if teir parent is dependent. Oterwise, cildren simply consume teir income plus te bequest. To determine te subgame perfect Nas equilibrium, we solve tis game by backward induction. We rst study te rst-best allocation wic provides a bencmark against wic we can compare te laissez-faire allocation, obtained by dropping stage First-best solution Wit ex ante identical families, we can de ne te optimal allocation as te one maximizing te expected utility of a representative dynasty. Assuming tat bot parents and cildren receive equal social weigts, te rst-best problem can be written as max m;c; bm;bc;a W = [H(m) + u(c)] + (1 ) [u( bm) + u(bc)] ; s.t. (1 ) [ bm + bc L] + [m + c] = y + (1 )w + [w(1 a) + (a)] ; (3) were te decision variables are informal care provision a and parent s and cild s consumption in bot states of nature. We denote te latter by m, bm, c and bc respectively. In te rst-best all variables are directly set, assuming full information and disregarding te multi-stage structure of te game. Te speci cation of te game will of course be relevant below, wen we study te decentralization of te rst-best optimum. Let denote te Lagrange multiplier associated wit te resource constraint (3). Te rst 5

9 order conditions (FOCs) caracterizing te optimal solution can be written as follows H 0 (m) = u 0 ( bm) = u 0 (c) = u 0 (bc) = ; (4) w = 0 (a): (5) Equation (4) states te equality of marginal utilities of incomes across generations and states of nature (full insurance), wile equation (5) describes te e cient coice of informal care. It states tat te opportunity cost of informal care w equals its marginal bene t. 2.3 Laissez-faire allocation Stage 2: Coice of cildren In case of autonomy, cildren do not ave to make any decision. Tey consume teir income and bequest, enjoying a utility u(w + b b). Wen teir parents are in need of LTC, tey solve te following problem max a u(w(1 a) + b) + H(y L + (a) b): Te rst-order condition of te above problem is given by wu 0 (w(1 a) + b) + H 0 (y L + (a) b) 0 (a) = 0: Tis equation de nes te optimal level of a as a function of b: a = a(b). We ave as te second-order condition (SOC) = wu00 (c) + H 00 (m) 0 (a) SOC a > 0; (6) SOC a = w 2 u 00 (c) + H 0 (m) 00 (a) + H 00 (m)( 0 (a)) 2 < 0: In words, if parents increase teir bequest, te willingness to provide informal care by te cild also increases. 6

10 2.3.2 Stage 1: Coice of parents Te problem of te parents is to coose (in bot states of nature) te level of bequests to teir cildren. In case of dependency parents ave more needs but at te same time tey migt leave a iger bequest to induce more assistance from teir cildren. Teir problem is te following max b; b b EU p = [H(y L + (a ) b) + u(w(1 a ) + b)] i + (1 ) u(y b b) + u(w + b b) : (7) Taking into consideration equation (6) te FOCs wit respect to b and b b can be written as H 0 (m) 1 0 (a (1 ) + u 0 (c) = (8) u 0 ( bm) + u 0 (bc) = 0: (9) It can be easily veri ed tat for = 1 te parent leaves te e cient amount of bequests so tat H 0 (m) = u 0 (c). Tis in turn goes and in and wit an e cient amount of aid provided by te cild 0 (a) = w; see equation (5). Tis result is not surprising as for perfect altruism, on bot te parent s and te cild s side, te optimization problem of te two family members coincides wit te one of te social planner. Wenever < 1 tis is no longer te case as te cild puts a too low value on te parent s bene ts of informal care. In tis case te parent leaves a large tan oterwise e cient bequest to induce te cild to provide more care. 2.4 Decentralization of te rst-best allocation Assume for te time being tat tere is no asymmetry of information so tat all relevant variables including informal aid are publicly observable. In te following we sow tat te FB allocation witin our multi-stage setting can be decentralized by a lump-sum 7

11 transfer (social LTC insurance) from te ealty to te dependent elderly ( b D; D) supplemented by a tax on labor income a and on bequests b for tose cildren wose parents are dependent. budget constraint Public transfers must be cosen suc tat te government s D = (1 ) b D + [ a w(1 a ) + b b ] (10) is balanced Family s problem reconsidered Again, in case of autonomy cildren do not ave to make any decision; tey consume teir income and bequest enjoying a utility u(w + b b). Wen teir parents are in need of long-term care, tey now solve te following problem max a u((1 a )w(1 a) + (1 b )b) + H(y + D L + (a) b): (11) Te rst order condition of te above problem is given by (1 a )wu 0 (c) + H 0 (m) 0 (a) = 0: (12) Te above equation yields a = a(b; a ; b ; D). Te comparative static e ects wrt. b and te policy instruments =(1 a)wu 00 (c)(1 b ) + H 0 (m) 0 (a) SOC a > 0; = wu0 (c) (1 a )w 2 (1 a)u 00 a SOC a 7 0; = (1 b)wbu 00 b SOC a < = H0 (m) 0 (a) SOC a < 0: (16) Care increases wit bequests wile a tax on bequest dampens it. An income tax eiter puses or dampens informal care provision and public LTC decreases informal care. 6 Te second order condition is SOC a = ((1 a)w) 2 u 00 (c) + H 0 (m) 00 (a) + H 00 (m)( 02 < 0. 8

12 Comparison of equation (12) wit te rst-best allocation (equations (4) and (5)) sows tat to implement te rst-best level of care we rst need a tax on cild s income, i.e. a = 1. A tax on income implicitly subsidizes te cild s informal care provision so tat te trade-o between te cild s marginal costs and marginal bene t of care is te e cient one. Te problem for te parents is now te following max b; b b U p = [H(y + D L + (a ) b) + u((1 a )w(1 a ) + (1 b )b)] i + (1 ) u(y D b b b) + u(w + b b) : (17) Using equation (12), te FOCs wit respect to b, and b are H 0 (m) 1 0 (a (1 ) + b )u 0 (c) = 0; (18) u 0 ( bm) + u 0 (bc) = 0: (19) Equations (18) and (19) yield b = b(d; b D; a ; b ) and b b = b b(d; b D; a ; b ). Wen te transfers (D; b D) are cosen suc tat te parent (and tus also te cild) is fully insured implying H 0 (m) = u 0 ( bm) we ave H 0 (m) = u 0 (bc). Te tax on bequests must ten be cosen suc tat its e ect on informal care is o set, i.e. b = 0 (a (1 ) > Tat is, we ave to tax bequests wen te parent ends up being dependent. Tis tax o sets te parent s incentives to induce informal care above its rst-best level. 7 To decentralize te rst-best optimum we need tree types of tools: a distortionary tax a tat fosters cild s assistance in case of impure altruism ( < 1); a tax b on bequests wen te parent is dependent and lump-sum transfers acting as redistributive device between te two states of nature (D; b D). 7 Te expression =@b is not independent of b. 9

13 Note tat we ave assumed away private insurance. If private insurance were available, its role would depend on te existence and te size of loading costs. Wit zero loading costs, a rst best could be acieved simply by taxing cild s labor at te appropriate rate, namely 1, and by taxing bequests wen te parent is dependent. Wit positive loading cost, we also need te lump-sum transfers, wic ten completely crowd out private insurance. 3 Second-best solution 3.1 Identical cildren We now turn to te second-best. We assume tat te government can use only linear (proportional) taxes on bequests and on labor earnings t, to nance a LTC bene t g. Tax rates cannot be conditioned on te parents ealt status. We use te notation t, and g rater ten a, b and D to avoid confusion wit te rst-best implementation. Wit our instruments we write te revenue constraint as g = t( Te cild s problem Te cild solves a )w + b + (1 ) b b i : max a u ((1 t)w(1 a) + (1 )b) + H (y L b + g (a)) ; (20) wic apart from te cange in notation is equivalent, to (11) so tat te FOC continues to be given by (12) and can be written as (1 t)wu 0 (c) = H 0 (m) 0 (a ): (21) Te solution is given by a = a(b; t; ; g). Te comparative statics properties of tis function follow tose described by equations (13) (16). Using subscripts to denote partial derivatives, we tus ave a b > 0; a < 0; a t? 0; a g < 0. 10

14 3.1.2 Parent s problem Turning to te parent s problem, it is given by max b; b b EU p = [H (y L b + g + (a )) + u ((1 t)w(1 a ) + (1 )b)] + (1 ) u(y b b) + u (1 t)w + (1 ) b i : (22) Te two FOCs wrt. b b and b are u 0 ( bm) = u 0 (bc) (1 ); (23) H 0 (m) 1 0 (a )a b = u 0 (c)[(1 ) (1 t)wa b ]: (24) Using (21), equation (24) can be rewritten as H 0 (m) 1 0 (a )(1 )a b = u 0 (c)(1 ): Tese conditions de ne te bequests supply functions, i.e. b = b(t; ; g) and b = b(t; ). We implicitly assume positive bequests in eiter state of nature. Substituting for b into a yields te level of aid as a function of te government s instruments a = a (b(t; ; g); t; ; g) ~a(t; ; g): Te government s problem Te second-best problem can now be expressed by te following Lagrangean L(g; t; ) = [H (y L b + g + (a )) + u ((1 t)w(1 a ) + (1 )b )] + (1 ) u y b + u (1 t)w + (1 ) b i g t(1 a )w (b + (1 ) b i ) (25) 11

15 Using te envelope teorem, we can write te FOCs wrt. g, t = H 0 (m) 0 (a ) u 0 (c)(1 t)w ~a g + H 0 (m) [ + tw~a g b g ] = H 0 (m) 0 (a ) u 0 (c)(1 t)w ~a t u 0 (c) (1 a) + (1 )u 0 (bc) w + w(1 a ) tw~a t + b t + (1 ) b ii t = H 0 (m) 0 (a ) u 0 (c)(1 t)w ~a u 0 (c)b + (1 )u 0 (bc) b i + b + (1 ) b tw~a + b + (1 ) b ii = 0: Tese FOCs can be rearranged using te compensated form wit dg d = b + (1 ) b ; and dg dt = (1 a )w : In oter words, we keep te tax rates t and as sole decision variables, wile accounting of course for teir impact on g, via te government s budget constraint. Tis yields c @ d = (1 )H0 (m) 0 (a )~a c u 0 (c)b + (1 )u 0 (bc) b i + H 0 (m)(b + (1 ) b ) tw~a c b c + (1 ) b i c = 0; dt = (1 )H0 (m) 0 (a )~a c t u 0 (c) (1 a ) + (1 )u 0 (bc) w + H 0 (m)(1 a )w tw~a c t b c t + (1 ) b i c t = 0: (27) To interpret tese formulas, we make te standard assumption tat te cross-derivatives are negligible. Formally, b c t = b b c t = ~a c = 0. Ten, we ave 8 We de ne ~a c x = b (1 ) bb b c + (1 ) b i ; (28) c t = (1 )H0 (m) 0 (a )~a c t y (1 ) w b w~a c ; (29) t dg dx bc @g dg and b c dx x dg, were x = ; t. dx 12

16 were u 0 (c) H 0 (m)? 0 and b u 0 (bc) H 0 (m) < 0. 9 Te denominators in tese two formulas are standard. Tey re ect te e ciency e ect of taxes. Normally one expects ~a c t > 0 and b c + (1 ) b c < 0: To interpret te numerator of equation (28), we ave to return to our assumption of positive bequests and on te inequalities u 0 (c) H 0 (m)? 0 and b u 0 (bc) H 0 (m) < 0. As sown above in te rst-best, = b = 0. Te numerator will tus be positive if is not too ig and if b > > 0; wic is likely if L is large enoug. Turning to te numerator of equation (29), note tat te rst term in te nominator vanises if = 1. Oterwise, it represents te need to foster cild s assistance. Tis term mirrors te rst-best implementation but as a di erent structure in te secondbest. Te second and tird terms are te same as in te previous condition. Tey re ect te insurance bene ts provided by te tax. Tey give te welfare gap between te young and te dependent elderly in te two states of nature. If te marginal utility of te dependent is ig relative to tat of te young, ten tere is a need for a iger tax to nance te social bene t g. Private insurance would not cange our qualitative results. Even wit zero loading cost, te rst-best cannot be acieved wit te instruments considered ere; it would require a state-contingent ineritance tax. Wit a positive loading cost individuals buy less tan full insurance and te two taxes continue to make up for part of te incompleteness of private insurance protection. 3.2 Heterogenous families We now assume tat families di er ex ante in te cildren s productivity levels and in te parents resources. We assume tat bot (w i and y i ) are positively correlated so tat our assumption of positive bequests is valid across families. Again, te government 9 Tis means tat bm > bc > c. 13

17 levies a at tax t on earnings and on bequests to nance a uniform LTC bene t g. Witin suc a framework te social insurance sceme pursues an additional objective, namely redistribution. Te government s revenue constraint as to be modi ed suc tat g = X i n i t(1 a i )w i + (b i + (1 ) b i i ) ; were n i is te relative number of families wit productivity w i and y i. Te optimizing beavior of cildren and parents remains te same as described above; eac cild and parent of type-i solves te problem given in (20) and (22). From tis we obtain optimal long-term care provision a i = ~a(t; ; g) wit ~a i < 0; ~a it? 0 and ~a ig < 0 and optimal bequests b i = b(t; ; g) and b b i = b(t; ): 3.3 Government s problem Te second-best problem of a utilitarian government wit eterogenous families can be expressed by te following Lagrangean expression L(g; t; ) = X i n i nh (y i L b i + g + (a i )) + u ((1 t)w i (1 a i ) + (1 )b i ) + (1 ) y i b i + u u g t(1 a i )w i (1 t)w i + (1 ) b i b i + (1 ) b i i i o : (30) 14

18 Maximizing tis expression wit respect to g, t and yields te following =E [ H 0 (m) 0 (a ) u 0 (c)(1 t)w ~a g + H 0 (m) o [ + tw~a g b g ] = =E H 0 (m) 0 (a ) u 0 (c)(1 t)w ~a t u 0 (c) (1 a ) + (1 )u 0 (bc) w + w(1 a ) tw~a a + b t + (1 ) b i o t = =E H 0 (m) 0 (a ) u 0 (c)(1 t)w ~a u 0 (c)b + (1 )u 0 (bc) b i + b + (1 ) b tw~a + b + (1 ) b i o = 0; were we use te operator E for P i n i. As for identical families we can rearrange te above FOCs in terms of compensations wit dg=d and dg=dt; see Appendix (A.2). By assuming tat te cross derivatives are nil, i.e. b c it = b b c it = ~ac i = 0, we ave = cov(; b ) (1 ) cov( ; b b ) E b c + (1 ) b i c + EEb (1 )EE b b E b c + (1 ) b i ; (31) c and t = (1 )E [H0 (m) 0 (a )~a c t] cov(; w(1 a )) (1 ) cov( b ; w) Ew~a c t + EEw(1 a ) (1 )E b Ew Ew~a c t (32) Te interpretation of tese two formulas is te same as in te case of identical individuals wit one exception, namely te covariance terms tat are expected to be negative. Tis is because wit iger income/wealt te di erence in marginal utilities between states of nature decreases. In oter words, earnings inequality puses for more taxation of eiter earnings or bequests. 15

19 4 Conclusion Te starting point of tis paper is te concomitance of two trends: te increasing needs for LTC, and unusual growt of ineritance. In a laissez faire economy wit neiter public nor private insurance, dependency would bite a big cunk of accumulated wealt wit te consequence tat bequests would greatly di er for kids wit dependent parents and kids wit ealty parents. Cildren s care can only partially mitigate tose di erences. Given tat te market for LTC insurance is typically tin or even absent, one as to rely on public action to restore some balance between te two states of nature. In a rst-best world, a subsidy on cildren s care, state-dependent bequest taxes and a state-contingent lump sum tax could acieve te optimum and provide full insurance. If for obvious reasons individualized lump sum taxes are not available, one as to rely on second-best scemes. In tis paper a wage tax and a linear ineritance tax contribute to nance a uniform LTC bene t. Te main conclusion is tat under plausible conditions linear taxes on bot ineritances and wages to nance a public LTC at rate bene t are desirable. Te tax on cildren s labor income e ectively subsidizes informal care, like in te rst-best implementation. It is required wen altruism is less tan full. Bot taxes also provide insurance and, in te case of eterogenous families (di ering in cildren s productivity and parent s wealt) redistributive bene ts. We ave seen tat we can end up wit a subsidy of bequests or even earnings in te special case were te welfare of te dependent would be quite ig relative to tat of is cildren and te probability of dependency would be particularly ig. Trougout tis paper we ave assumed tat parents in bot states of nature were leaving some bequests. Tis implies tat parents are relatively wealtier tan teir cildren, and tat dependency does not represent a large nancial loss. In an extension 16

20 of tis work we would like to explore cases were some parents do not leave any bequest or tey only bequeat in te ealty state. It is expected tat if bequests in te ealty state were muc iger tan tose in te state of dependency and if te wealty families were leaving ig bequests wereas te poorer families were bequest-constrained, estate taxation would play an even more important role. Among oter extensions, we would like to introduce private insurance wit loading costs and study te possibility of nonlinear LTC policies. A Appendix A.1 Identical families: second-best Using a sorter notation, we can write u 0 (c)b + (1 )u 0 (bc) b b i + H 0 (m)(b + (1 ) b b ) = b (1 ) b b b u 0 (c) (1 a ) + (1 )u 0 (bc) w + H 0 (m)(1 a )w = (1 a )w (1 ) b w We now rewrite equations (26) and (27) as (1 )H 0 (m) 0 (a )~a c b (1 ) bb = tw~a c (1 )H 0 (m) 0 (a )~a c t (1 a )w (1 ) b w = A.2 Heterogenous families: second-best b c + (1 tw~a c t ) b c b c t + (1 i ; ) b b c t i c =E n (1 )H 0 (m) 0 (a )~a c + H 0 (m)(b + (1 ) b b ) u 0 (c)b + (1 )u 0 (bc) b b i tw~a c b c + (1 ) b iio c = 0; (33) =E (1 )H 0 (m) 0 (a )~a c t u 0 (c) (1 a ) + (1 )u 0 (bc) w + H 0 (m)(1 a )w tw~a c t b c t + (1 ) b iio c t = 0: (34) We use u 0 (c) H 0 (m)? 0 and b u 0 (bc) H 0 (m) < 0; to represent te gap between te cild s marginal utility of consumption and tat of te dependent parent. 17

21 We now rewrite te FOC s as (1 )E H 0 (m) 0 (a )~a c t cov(; w(1 a )) (1 ) cov( ; b w) EEw(1 a ) (1 )EEw b = E tw~a c t b c t + (1 ) b c t (1 )E H 0 (m) 0 (a )~a c cov(; b ) (1 ) cov( ; b b ) EEb (1 )E b E b b = E tw~a c b c + (1 ) b b c ii ; (35) ii : (36) Solving for t and yields te expressions in te text. References [1] Brown, J.R. and A. Finkelstein, (2007), Wy is te Market for Long-Term Care Insurance so Small?, Journal of Public Economics, 91, [2] Brown, J.R. and A. Finkelstein, (2008), Te Interaction of Public and Private Insurance: Medicaid and te Long-Term Care Insurance Market, American Economic Review, 98, [3] Brown, J.R. and A. Finkelstein, (2009), Te Private Market for Long-Term Care Insurance in te United States: a Review of te Evidence, Journal of Risk and Insurance, 76, [4] Brunner, J. and S. Pec, (2012), Te Bequest Tax as Long-Term Care Insurance, Te Scandinavian Journal of Economics, 114, [5] Cremer, H., Pestieau, P., and G. Pontière, (2012), Te Economics of Long- Term-Care: A Survey, Nordic Economic Policy Review, 2, [6] Finkelstein, A. and K. McGarry, (2006), Multiple Dimensions of Private Information: Evidence from te Long-Term Care Insurance Market, Te American Economic Review, 96,

22 [7] Jousten, A., Lipszyc, B., Marcand, M., and P. Pestieau, (2005), Long- Term Care Insurance and Optimal Taxation for Altruistic Cildren, FinanzArciv - Public Finance Analysis, 61, [8] Norton, E., (2000), Long-Term Care, in Cuyler, A., and J. Newouse (Eds.), Handbook of Healt Economics, Volume 1b, Capter 17. [9] Pauly, M.V., (1990), Te Rational Nonpurcase of Long-Term Care Insurance, Journal of Political Economy, 1990, 98 (1), [10] Pestieau, P., and M. Sato, (2009), Social and Private Long-Term Care Insurance wit Variable Altruism, unpublised manuscript. [11] Piketty, T., and G. Zucman, (2014), Wealt and Ineritance in te Long-Run, in Handbook of Income Distribution, Nort Holland, Vol. 2. [12] Sloan, F.A. and E.C. Norton, (1997), Adverse Selection, Bequests, Crowding Out, and Private Demand for Insurance: Evidence from te Long-Term Care Insurance Market, Journal of Risk and Uncertainty, 15, [13] Zweifel, P. and W. Strüwe, (1998), Long-Term Care Insurance in a Two- Generation Model, Journal of Risk and Uncertainty, 65,

Can a Lump-Sum Transfer Make Everyone Enjoy the Gains. from Free Trade?

Can a Lump-Sum Transfer Make Everyone Enjoy the Gains. from Free Trade? Can a Lump-Sum Transfer Make Everyone Enjoy te Gains from Free Trade? Yasukazu Icino Department of Economics, Konan University June 30, 2010 Abstract I examine lump-sum transfer rules to redistribute te

More information

Long term care social insurance with two-sided altruism 1

Long term care social insurance with two-sided altruism 1 Long term care social insurance with two-sided altruism 1 Helmuth Cremer 2, Pierre Pestieau 3 and Kerstin Roeder 4 February 11, 2015 1 The authors gratefully acknowledge financial support from the Chaire

More information

Unemployment insurance/severance payments and informality in developing countries

Unemployment insurance/severance payments and informality in developing countries Unemployment insurance/severance payments and informality in developing countries David Bardey y and Fernando Jaramillo z First version: September 2011. Tis version: November 2011. Abstract We analyze

More information

College Planning Using Cash Value Life Insurance

College Planning Using Cash Value Life Insurance College Planning Using Cas Value Life Insurance CAUTION: Te advisor is urged to be extremely cautious of anoter college funding veicle wic provides a guaranteed return of premium immediately if funded

More information

Government Debt and Optimal Monetary and Fiscal Policy

Government Debt and Optimal Monetary and Fiscal Policy Government Debt and Optimal Monetary and Fiscal Policy Klaus Adam Manneim University and CEPR - preliminary version - June 7, 21 Abstract How do di erent levels of government debt a ect te optimal conduct

More information

Pre-trial Settlement with Imperfect Private Monitoring

Pre-trial Settlement with Imperfect Private Monitoring Pre-trial Settlement wit Imperfect Private Monitoring Mostafa Beskar University of New Hampsire Jee-Hyeong Park y Seoul National University July 2011 Incomplete, Do Not Circulate Abstract We model pretrial

More information

M(0) = 1 M(1) = 2 M(h) = M(h 1) + M(h 2) + 1 (h > 1)

M(0) = 1 M(1) = 2 M(h) = M(h 1) + M(h 2) + 1 (h > 1) Insertion and Deletion in VL Trees Submitted in Partial Fulfillment of te Requirements for Dr. Eric Kaltofen s 66621: nalysis of lgoritms by Robert McCloskey December 14, 1984 1 ackground ccording to Knut

More information

Derivatives Math 120 Calculus I D Joyce, Fall 2013

Derivatives Math 120 Calculus I D Joyce, Fall 2013 Derivatives Mat 20 Calculus I D Joyce, Fall 203 Since we ave a good understanding of its, we can develop derivatives very quickly. Recall tat we defined te derivative f x of a function f at x to be te

More information

THE ROLE OF LABOUR DEMAND ELASTICITIES IN TAX INCIDENCE ANALYSIS WITH HETEROGENEOUS LABOUR

THE ROLE OF LABOUR DEMAND ELASTICITIES IN TAX INCIDENCE ANALYSIS WITH HETEROGENEOUS LABOUR THE ROLE OF LABOUR DEMAND ELASTICITIES IN TAX INCIDENCE ANALYSIS WITH HETEROGENEOUS LABOUR Kesab Battarai 1,a and 1, a,b,c Jon Walley a Department of Economics, University of Warwick, Coventry, CV4 7AL,

More information

Geometric Stratification of Accounting Data

Geometric Stratification of Accounting Data Stratification of Accounting Data Patricia Gunning * Jane Mary Horgan ** William Yancey *** Abstract: We suggest a new procedure for defining te boundaries of te strata in igly skewed populations, usual

More information

Verifying Numerical Convergence Rates

Verifying Numerical Convergence Rates 1 Order of accuracy Verifying Numerical Convergence Rates We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, suc as te grid size or time step, and

More information

Strategic trading in a dynamic noisy market. Dimitri Vayanos

Strategic trading in a dynamic noisy market. Dimitri Vayanos LSE Researc Online Article (refereed) Strategic trading in a dynamic noisy market Dimitri Vayanos LSE as developed LSE Researc Online so tat users may access researc output of te Scool. Copyrigt and Moral

More information

What is Advanced Corporate Finance? What is finance? What is Corporate Finance? Deciding how to optimally manage a firm s assets and liabilities.

What is Advanced Corporate Finance? What is finance? What is Corporate Finance? Deciding how to optimally manage a firm s assets and liabilities. Wat is? Spring 2008 Note: Slides are on te web Wat is finance? Deciding ow to optimally manage a firm s assets and liabilities. Managing te costs and benefits associated wit te timing of cas in- and outflows

More information

How To Ensure That An Eac Edge Program Is Successful

How To Ensure That An Eac Edge Program Is Successful Introduction Te Economic Diversification and Growt Enterprises Act became effective on 1 January 1995. Te creation of tis Act was to encourage new businesses to start or expand in Newfoundland and Labrador.

More information

FINITE DIFFERENCE METHODS

FINITE DIFFERENCE METHODS FINITE DIFFERENCE METHODS LONG CHEN Te best known metods, finite difference, consists of replacing eac derivative by a difference quotient in te classic formulation. It is simple to code and economic to

More information

TRADING AWAY WIDE BRANDS FOR CHEAP BRANDS. Swati Dhingra London School of Economics and CEP. Online Appendix

TRADING AWAY WIDE BRANDS FOR CHEAP BRANDS. Swati Dhingra London School of Economics and CEP. Online Appendix TRADING AWAY WIDE BRANDS FOR CHEAP BRANDS Swati Dingra London Scool of Economics and CEP Online Appendix APPENDIX A. THEORETICAL & EMPIRICAL RESULTS A.1. CES and Logit Preferences: Invariance of Innovation

More information

Optimal Age Specific Income Taxation

Optimal Age Specific Income Taxation Optimal Age Specific Income Taxation Jean-Marie Lozachmeur 1 October, 2005 1 GREMAQ, University of Toulouse. Mailing: Gremaq, 21 Allée de Brienne F- 31000 Toulouse. E-mail: jean-marie.lozachmeur@univ-tlse1.fr.

More information

2.23 Gambling Rehabilitation Services. Introduction

2.23 Gambling Rehabilitation Services. Introduction 2.23 Gambling Reabilitation Services Introduction Figure 1 Since 1995 provincial revenues from gambling activities ave increased over 56% from $69.2 million in 1995 to $108 million in 2004. Te majority

More information

The Demand for Food Away From Home Full-Service or Fast Food?

The Demand for Food Away From Home Full-Service or Fast Food? United States Department of Agriculture Electronic Report from te Economic Researc Service www.ers.usda.gov Agricultural Economic Report No. 829 January 2004 Te Demand for Food Away From Home Full-Service

More information

Lecture 10: What is a Function, definition, piecewise defined functions, difference quotient, domain of a function

Lecture 10: What is a Function, definition, piecewise defined functions, difference quotient, domain of a function Lecture 10: Wat is a Function, definition, piecewise defined functions, difference quotient, domain of a function A function arises wen one quantity depends on anoter. Many everyday relationsips between

More information

Instantaneous Rate of Change:

Instantaneous Rate of Change: Instantaneous Rate of Cange: Last section we discovered tat te average rate of cange in F(x) can also be interpreted as te slope of a scant line. Te average rate of cange involves te cange in F(x) over

More information

- 1 - Handout #22 May 23, 2012 Huffman Encoding and Data Compression. CS106B Spring 2012. Handout by Julie Zelenski with minor edits by Keith Schwarz

- 1 - Handout #22 May 23, 2012 Huffman Encoding and Data Compression. CS106B Spring 2012. Handout by Julie Zelenski with minor edits by Keith Schwarz CS106B Spring 01 Handout # May 3, 01 Huffman Encoding and Data Compression Handout by Julie Zelenski wit minor edits by Keit Scwarz In te early 1980s, personal computers ad ard disks tat were no larger

More information

Math 113 HW #5 Solutions

Math 113 HW #5 Solutions Mat 3 HW #5 Solutions. Exercise.5.6. Suppose f is continuous on [, 5] and te only solutions of te equation f(x) = 6 are x = and x =. If f() = 8, explain wy f(3) > 6. Answer: Suppose we ad tat f(3) 6. Ten

More information

2.12 Student Transportation. Introduction

2.12 Student Transportation. Introduction Introduction Figure 1 At 31 Marc 2003, tere were approximately 84,000 students enrolled in scools in te Province of Newfoundland and Labrador, of wic an estimated 57,000 were transported by scool buses.

More information

Analyzing the Effects of Insuring Health Risks:

Analyzing the Effects of Insuring Health Risks: Analyzing te Effects of Insuring Healt Risks: On te Trade-off between Sort Run Insurance Benefits vs. Long Run Incentive Costs Harold L. Cole University of Pennsylvania and NBER Soojin Kim University of

More information

Catalogue no. 12-001-XIE. Survey Methodology. December 2004

Catalogue no. 12-001-XIE. Survey Methodology. December 2004 Catalogue no. 1-001-XIE Survey Metodology December 004 How to obtain more information Specific inquiries about tis product and related statistics or services sould be directed to: Business Survey Metods

More information

Strategic trading and welfare in a dynamic market. Dimitri Vayanos

Strategic trading and welfare in a dynamic market. Dimitri Vayanos LSE Researc Online Article (refereed) Strategic trading and welfare in a dynamic market Dimitri Vayanos LSE as developed LSE Researc Online so tat users may access researc output of te Scool. Copyrigt

More information

Referendum-led Immigration Policy in the Welfare State

Referendum-led Immigration Policy in the Welfare State Referendum-led Immigration Policy in te Welfare State YUJI TAMURA Department of Economics, University of Warwick, UK First version: 12 December 2003 Updated: 16 Marc 2004 Abstract Preferences of eterogeneous

More information

In other words the graph of the polynomial should pass through the points

In other words the graph of the polynomial should pass through the points Capter 3 Interpolation Interpolation is te problem of fitting a smoot curve troug a given set of points, generally as te grap of a function. It is useful at least in data analysis (interpolation is a form

More information

The Dynamics of Movie Purchase and Rental Decisions: Customer Relationship Implications to Movie Studios

The Dynamics of Movie Purchase and Rental Decisions: Customer Relationship Implications to Movie Studios Te Dynamics of Movie Purcase and Rental Decisions: Customer Relationsip Implications to Movie Studios Eddie Ree Associate Professor Business Administration Stoneill College 320 Wasington St Easton, MA

More information

Optimal insurance contracts with adverse selection and comonotonic background risk

Optimal insurance contracts with adverse selection and comonotonic background risk Optimal insurance contracts with adverse selection and comonotonic background risk Alary D. Bien F. TSE (LERNA) University Paris Dauphine Abstract In this note, we consider an adverse selection problem

More information

ANALYTICAL REPORT ON THE 2010 URBAN EMPLOYMENT UNEMPLOYMENT SURVEY

ANALYTICAL REPORT ON THE 2010 URBAN EMPLOYMENT UNEMPLOYMENT SURVEY THE FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA CENTRAL STATISTICAL AGENCY ANALYTICAL REPORT ON THE 2010 URBAN EMPLOYMENT UNEMPLOYMENT SURVEY Addis Ababa December 2010 STATISTICAL BULLETIN TABLE OF CONTENT

More information

CHAPTER 7. Di erentiation

CHAPTER 7. Di erentiation CHAPTER 7 Di erentiation 1. Te Derivative at a Point Definition 7.1. Let f be a function defined on a neigborood of x 0. f is di erentiable at x 0, if te following it exists: f 0 fx 0 + ) fx 0 ) x 0 )=.

More information

The EOQ Inventory Formula

The EOQ Inventory Formula Te EOQ Inventory Formula James M. Cargal Matematics Department Troy University Montgomery Campus A basic problem for businesses and manufacturers is, wen ordering supplies, to determine wat quantity of

More information

Note nine: Linear programming CSE 101. 1 Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1

Note nine: Linear programming CSE 101. 1 Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1 Copyrigt c Sanjoy Dasgupta Figure. (a) Te feasible region for a linear program wit two variables (see tet for details). (b) Contour lines of te objective function: for different values of (profit). Te

More information

Torchmark Corporation 2001 Third Avenue South Birmingham, Alabama 35233 Contact: Joyce Lane 972-569-3627 NYSE Symbol: TMK

Torchmark Corporation 2001 Third Avenue South Birmingham, Alabama 35233 Contact: Joyce Lane 972-569-3627 NYSE Symbol: TMK News Release Torcmark Corporation 2001 Tird Avenue Sout Birmingam, Alabama 35233 Contact: Joyce Lane 972-569-3627 NYSE Symbol: TMK TORCHMARK CORPORATION REPORTS FOURTH QUARTER AND YEAR-END 2004 RESULTS

More information

Chapter 10: Refrigeration Cycles

Chapter 10: Refrigeration Cycles Capter 10: efrigeration Cycles Te vapor compression refrigeration cycle is a common metod for transferring eat from a low temperature to a ig temperature. Te above figure sows te objectives of refrigerators

More information

1.6. Analyse Optimum Volume and Surface Area. Maximum Volume for a Given Surface Area. Example 1. Solution

1.6. Analyse Optimum Volume and Surface Area. Maximum Volume for a Given Surface Area. Example 1. Solution 1.6 Analyse Optimum Volume and Surface Area Estimation and oter informal metods of optimizing measures suc as surface area and volume often lead to reasonable solutions suc as te design of te tent in tis

More information

EC201 Intermediate Macroeconomics. EC201 Intermediate Macroeconomics Problem set 8 Solution

EC201 Intermediate Macroeconomics. EC201 Intermediate Macroeconomics Problem set 8 Solution EC201 Intermediate Macroeconomics EC201 Intermediate Macroeconomics Prolem set 8 Solution 1) Suppose tat te stock of mone in a given econom is given te sum of currenc and demand for current accounts tat

More information

SAMPLE DESIGN FOR THE TERRORISM RISK INSURANCE PROGRAM SURVEY

SAMPLE DESIGN FOR THE TERRORISM RISK INSURANCE PROGRAM SURVEY ASA Section on Survey Researc Metods SAMPLE DESIG FOR TE TERRORISM RISK ISURACE PROGRAM SURVEY G. ussain Coudry, Westat; Mats yfjäll, Statisticon; and Marianne Winglee, Westat G. ussain Coudry, Westat,

More information

The modelling of business rules for dashboard reporting using mutual information

The modelling of business rules for dashboard reporting using mutual information 8 t World IMACS / MODSIM Congress, Cairns, Australia 3-7 July 2009 ttp://mssanz.org.au/modsim09 Te modelling of business rules for dasboard reporting using mutual information Gregory Calbert Command, Control,

More information

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12. Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But

More information

Private, social and self insurance for long-term care: A political economy analysis 1

Private, social and self insurance for long-term care: A political economy analysis 1 Private, social and self insurance for long-term care: A political economy analysis 1 Ph. De Donder 2 and P. Pestieau 3 December 29, 2011 1 A former version of this paper has been presented under the title

More information

a joint initiative of Cost of Production Calculator

a joint initiative of Cost of Production Calculator a joint initiative of Cost of Production Calculator 1 KEY BENEFITS Learn to use te MAKING MORE FROM SHEEP cost of production calculator to: Measure te performance of your seep enterprise year on year Compare

More information

ACT Math Facts & Formulas

ACT Math Facts & Formulas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationals: fractions, tat is, anyting expressable as a ratio of integers Reals: integers plus rationals plus special numbers suc as

More information

Welfare, financial innovation and self insurance in dynamic incomplete markets models

Welfare, financial innovation and self insurance in dynamic incomplete markets models Welfare, financial innovation and self insurance in dynamic incomplete markets models Paul Willen Department of Economics Princeton University First version: April 998 Tis version: July 999 Abstract We

More information

Writing Mathematics Papers

Writing Mathematics Papers Writing Matematics Papers Tis essay is intended to elp your senior conference paper. It is a somewat astily produced amalgam of advice I ave given to students in my PDCs (Mat 4 and Mat 9), so it s not

More information

Math Test Sections. The College Board: Expanding College Opportunity

Math Test Sections. The College Board: Expanding College Opportunity Taking te SAT I: Reasoning Test Mat Test Sections Te materials in tese files are intended for individual use by students getting ready to take an SAT Program test; permission for any oter use must be sougt

More information

THE IMPACT OF INTERLINKED INDEX INSURANCE AND CREDIT CONTRACTS ON FINANCIAL MARKET DEEPENING AND SMALL FARM PRODUCTIVITY

THE IMPACT OF INTERLINKED INDEX INSURANCE AND CREDIT CONTRACTS ON FINANCIAL MARKET DEEPENING AND SMALL FARM PRODUCTIVITY THE IMPACT OF INTERLINKED INDEX INSURANCE AND CREDIT CONTRACTS ON FINANCIAL MARKET DEEPENING AND SMALL FARM PRODUCTIVITY Micael R. Carter Lan Ceng Alexander Sarris University of California, Davis University

More information

f(a + h) f(a) f (a) = lim

f(a + h) f(a) f (a) = lim Lecture 7 : Derivative AS a Function In te previous section we defined te derivative of a function f at a number a (wen te function f is defined in an open interval containing a) to be f (a) 0 f(a + )

More information

LONGEVITY AND ANNUITIES: AN INTRODUCTION

LONGEVITY AND ANNUITIES: AN INTRODUCTION LONGEVITY AND ANNUITIES: AN INTRODUCTION HELMUTH CREMER Toulouse School of Economics (GREMAQ, IDEI, and Institut Universitaire de France) PIERRE PESTIEAU Université deliège and CORE For decades the debate

More information

Children as insurance

Children as insurance J Popul Econ 2001) 14: 119±136 999 2001 Cildren as insurance Claus Cr. PoÈrtner University of Copenagen, Institute of Economics, Studiestraede 6, 1455 Copenagen K, Denmark Fax: 45-35323085, e-mail: claus.poertner@econ.ku.dk)

More information

A system to monitor the quality of automated coding of textual answers to open questions

A system to monitor the quality of automated coding of textual answers to open questions Researc in Official Statistics Number 2/2001 A system to monitor te quality of automated coding of textual answers to open questions Stefania Maccia * and Marcello D Orazio ** Italian National Statistical

More information

An inquiry into the multiplier process in IS-LM model

An inquiry into the multiplier process in IS-LM model An inquiry into te multiplier process in IS-LM model Autor: Li ziran Address: Li ziran, Room 409, Building 38#, Peing University, Beijing 00.87,PRC. Pone: (86) 00-62763074 Internet Address: jefferson@water.pu.edu.cn

More information

Distances in random graphs with infinite mean degrees

Distances in random graphs with infinite mean degrees Distances in random graps wit infinite mean degrees Henri van den Esker, Remco van der Hofstad, Gerard Hoogiemstra and Dmitri Znamenski April 26, 2005 Abstract We study random graps wit an i.i.d. degree

More information

New Vocabulary volume

New Vocabulary volume -. Plan Objectives To find te volume of a prism To find te volume of a cylinder Examples Finding Volume of a Rectangular Prism Finding Volume of a Triangular Prism 3 Finding Volume of a Cylinder Finding

More information

DEPARTMENT OF ECONOMICS HOUSEHOLD DEBT AND FINANCIAL ASSETS: EVIDENCE FROM GREAT BRITAIN, GERMANY AND THE UNITED STATES

DEPARTMENT OF ECONOMICS HOUSEHOLD DEBT AND FINANCIAL ASSETS: EVIDENCE FROM GREAT BRITAIN, GERMANY AND THE UNITED STATES DEPARTMENT OF ECONOMICS HOUSEHOLD DEBT AND FINANCIAL ASSETS: EVIDENCE FROM GREAT BRITAIN, GERMANY AND THE UNITED STATES Sara Brown, University of Leicester, UK Karl Taylor, University of Leicester, UK

More information

Pretrial Settlement with Imperfect Private Monitoring

Pretrial Settlement with Imperfect Private Monitoring Pretrial Settlement wit Imperfect Private Monitoring Mostafa Beskar Indiana University Jee-Hyeong Park y Seoul National University April, 2016 Extremely Preliminary; Please Do Not Circulate. Abstract We

More information

Optimized Data Indexing Algorithms for OLAP Systems

Optimized Data Indexing Algorithms for OLAP Systems Database Systems Journal vol. I, no. 2/200 7 Optimized Data Indexing Algoritms for OLAP Systems Lucian BORNAZ Faculty of Cybernetics, Statistics and Economic Informatics Academy of Economic Studies, Bucarest

More information

MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION

MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION Tis tutorial is essential pre-requisite material for anyone stuing mecanical engineering. Tis tutorial uses te principle of

More information

Determine the perimeter of a triangle using algebra Find the area of a triangle using the formula

Determine the perimeter of a triangle using algebra Find the area of a triangle using the formula Student Name: Date: Contact Person Name: Pone Number: Lesson 0 Perimeter, Area, and Similarity of Triangles Objectives Determine te perimeter of a triangle using algebra Find te area of a triangle using

More information

Yale ICF Working Paper No. 05-11 May 2005

Yale ICF Working Paper No. 05-11 May 2005 Yale ICF Working Paper No. 05-11 May 2005 HUMAN CAPITAL, AET ALLOCATION, AND LIFE INURANCE Roger G. Ibbotson, Yale cool of Management, Yale University Peng Cen, Ibbotson Associates Mose Milevsky, culic

More information

Computer Science and Engineering, UCSD October 7, 1999 Goldreic-Levin Teorem Autor: Bellare Te Goldreic-Levin Teorem 1 Te problem We æx a an integer n for te lengt of te strings involved. If a is an n-bit

More information

Dynamic Competitive Insurance

Dynamic Competitive Insurance Dynamic Competitive Insurance Vitor Farina Luz June 26, 205 Abstract I analyze long-term contracting in insurance markets wit asymmetric information and a finite or infinite orizon. Risk neutral firms

More information

Tangent Lines and Rates of Change

Tangent Lines and Rates of Change Tangent Lines and Rates of Cange 9-2-2005 Given a function y = f(x), ow do you find te slope of te tangent line to te grap at te point P(a, f(a))? (I m tinking of te tangent line as a line tat just skims

More information

Human Capital, Asset Allocation, and Life Insurance

Human Capital, Asset Allocation, and Life Insurance Human Capital, Asset Allocation, and Life Insurance By: P. Cen, R. Ibbotson, M. Milevsky and K. Zu Version: February 25, 2005 Note: A Revised version of tis paper is fortcoming in te Financial Analysts

More information

SWITCH T F T F SELECT. (b) local schedule of two branches. (a) if-then-else construct A & B MUX. one iteration cycle

SWITCH T F T F SELECT. (b) local schedule of two branches. (a) if-then-else construct A & B MUX. one iteration cycle 768 IEEE RANSACIONS ON COMPUERS, VOL. 46, NO. 7, JULY 997 Compile-ime Sceduling of Dynamic Constructs in Dataæow Program Graps Soonoi Ha, Member, IEEE and Edward A. Lee, Fellow, IEEE Abstract Sceduling

More information

ON LOCAL LIKELIHOOD DENSITY ESTIMATION WHEN THE BANDWIDTH IS LARGE

ON LOCAL LIKELIHOOD DENSITY ESTIMATION WHEN THE BANDWIDTH IS LARGE ON LOCAL LIKELIHOOD DENSITY ESTIMATION WHEN THE BANDWIDTH IS LARGE Byeong U. Park 1 and Young Kyung Lee 2 Department of Statistics, Seoul National University, Seoul, Korea Tae Yoon Kim 3 and Ceolyong Park

More information

Theoretical calculation of the heat capacity

Theoretical calculation of the heat capacity eoretical calculation of te eat capacity Principle of equipartition of energy Heat capacity of ideal and real gases Heat capacity of solids: Dulong-Petit, Einstein, Debye models Heat capacity of metals

More information

How To Find Out How A Person'S Consumption Is Affected By A Social Security Card

How To Find Out How A Person'S Consumption Is Affected By A Social Security Card Te Journal of Risk and Uncertainty, 25:1; 5 20, 2002 c 2002 Kluwer Academic Publisers. Manufactured in Te Neterlands. Explicit Versus Implicit Income Insurance THOMAS J. KNIESNER Center for Policy Researc,

More information

Average and Instantaneous Rates of Change: The Derivative

Average and Instantaneous Rates of Change: The Derivative 9.3 verage and Instantaneous Rates of Cange: Te Derivative 609 OBJECTIVES 9.3 To define and find average rates of cange To define te derivative as a rate of cange To use te definition of derivative to

More information

Guide to Cover Letters & Thank You Letters

Guide to Cover Letters & Thank You Letters Guide to Cover Letters & Tank You Letters 206 Strebel Student Center (315) 792-3087 Fax (315) 792-3370 TIPS FOR WRITING A PERFECT COVER LETTER Te resume never travels alone. Eac time you submit your resume

More information

Asymmetric Trade Liberalizations and Current Account Dynamics

Asymmetric Trade Liberalizations and Current Account Dynamics Asymmetric Trade Liberalizations and Current Account Dynamics Alessandro Barattieri January 15, 2015 Abstract Te current account deficits of Spain, Portugal and Greece are te result of large deficits in

More information

Optimal Paternalism: Sin Taxes and Health Subsidies

Optimal Paternalism: Sin Taxes and Health Subsidies Optimal Paternalism: Sin Taxes and Health Subsidies Thomas Aronsson and Linda Thunström Department of Economics, Umeå University SE - 901 87 Umeå, Sweden April 2005 Abstract The starting point for this

More information

SAT Subject Math Level 1 Facts & Formulas

SAT Subject Math Level 1 Facts & Formulas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reals: integers plus fractions, decimals, and irrationals ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences: PEMDAS (Parenteses

More information

The political choice of social long term care transfers when family gives time and money 1

The political choice of social long term care transfers when family gives time and money 1 The political choice of social long term care transfers when family gives time and money 1 Philippe De Donder 2, Marie-Louise Leroux 3 May 26, 2015 1 The authors thanks participants to the 55th SCSE annual

More information

Free Shipping and Repeat Buying on the Internet: Theory and Evidence

Free Shipping and Repeat Buying on the Internet: Theory and Evidence Free Sipping and Repeat Buying on te Internet: eory and Evidence Yingui Yang, Skander Essegaier and David R. Bell 1 June 13, 2005 1 Graduate Scool of Management, University of California at Davis (yiyang@ucdavis.edu)

More information

Pressure. Pressure. Atmospheric pressure. Conceptual example 1: Blood pressure. Pressure is force per unit area:

Pressure. Pressure. Atmospheric pressure. Conceptual example 1: Blood pressure. Pressure is force per unit area: Pressure Pressure is force per unit area: F P = A Pressure Te direction of te force exerted on an object by a fluid is toward te object and perpendicular to its surface. At a microscopic level, te force

More information

13 PERIMETER AND AREA OF 2D SHAPES

13 PERIMETER AND AREA OF 2D SHAPES 13 PERIMETER AND AREA OF D SHAPES 13.1 You can find te perimeter of sapes Key Points Te perimeter of a two-dimensional (D) sape is te total distance around te edge of te sape. l To work out te perimeter

More information

2 Limits and Derivatives

2 Limits and Derivatives 2 Limits and Derivatives 2.7 Tangent Lines, Velocity, and Derivatives A tangent line to a circle is a line tat intersects te circle at exactly one point. We would like to take tis idea of tangent line

More information

Macroeconomic conditions influence consumers attitudes,

Macroeconomic conditions influence consumers attitudes, Yu Ma, Kusum L. Ailawadi, Dines K. Gauri, & Druv Grewal An Empirical Investigation of te Impact of Gasoline Prices on Grocery Sopping Beavior Te autors empirically examine te effect of gas prices on grocery

More information

Improved dynamic programs for some batcing problems involving te maximum lateness criterion A P M Wagelmans Econometric Institute Erasmus University Rotterdam PO Box 1738, 3000 DR Rotterdam Te Neterlands

More information

Providing long-term care without crowding-out family support and private insurance

Providing long-term care without crowding-out family support and private insurance CREPP Working Papers Providing long-term care without crowding-out family support and private insurance A. Gautier December 2007 CREPP HEC-Management School University of Liège CREPP Working Paper 2007/08

More information

Environmental Policy and Competitiveness: The Porter Hypothesis and the Composition of Capital 1

Environmental Policy and Competitiveness: The Porter Hypothesis and the Composition of Capital 1 Journal of Environmental Economics and Management 7, 65 8 Ž 999. Article ID jeem.998.6, available online at ttp: www.idealibrary.com on Environmental Policy and Competitiveness: Te Porter ypotesis and

More information

Equilibrium Forward Curves for Commodities

Equilibrium Forward Curves for Commodities THE JOURNAL OF FINANCE VOL. LV, NO. 3 JUNE 2000 Equilibrium Forward Curves for Commodities BRYAN R. ROUTLEDGE, DUANE J. SEPPI, and CHESTER S. SPATT* ABSTRACT We develop an equilibrium model of te term

More information

Global Sourcing of Complex Production Processes

Global Sourcing of Complex Production Processes Global Sourcing of Complex Production Processes December 2013 Cristian Scwarz Jens Suedekum Abstract We develop a teory of a firm in an incomplete contracts environment wic decides on te complexity, te

More information

Chapter 7 Numerical Differentiation and Integration

Chapter 7 Numerical Differentiation and Integration 45 We ave a abit in writing articles publised in scientiþc journals to make te work as Þnised as possible, to cover up all te tracks, to not worry about te blind alleys or describe ow you ad te wrong idea

More information

A strong credit score can help you score a lower rate on a mortgage

A strong credit score can help you score a lower rate on a mortgage NET GAIN Scoring points for your financial future AS SEEN IN USA TODAY S MONEY SECTION, JULY 3, 2007 A strong credit score can elp you score a lower rate on a mortgage By Sandra Block Sales of existing

More information

Working Capital 2013 UK plc s unproductive 69 billion

Working Capital 2013 UK plc s unproductive 69 billion 2013 Executive summary 2. Te level of excess working capital increased 3. UK sectors acieve a mixed performance 4. Size matters in te supply cain 6. Not all companies are overflowing wit cas 8. Excess

More information

Pioneer Fund Story. Searching for Value Today and Tomorrow. Pioneer Funds Equities

Pioneer Fund Story. Searching for Value Today and Tomorrow. Pioneer Funds Equities Pioneer Fund Story Searcing for Value Today and Tomorrow Pioneer Funds Equities Pioneer Fund A Cornerstone of Financial Foundations Since 1928 Te fund s relatively cautious stance as kept it competitive

More information

The Derivative as a Function

The Derivative as a Function Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a+) f(a)

More information

Comparison between two approaches to overload control in a Real Server: local or hybrid solutions?

Comparison between two approaches to overload control in a Real Server: local or hybrid solutions? Comparison between two approaces to overload control in a Real Server: local or ybrid solutions? S. Montagna and M. Pignolo Researc and Development Italtel S.p.A. Settimo Milanese, ITALY Abstract Tis wor

More information

Fall 2009 14.41: Final Exam

Fall 2009 14.41: Final Exam Fall 2009 14.41: Final Exam Professor Jonathan Gruber December 16, 2009 Please answer the following questions in your blue book, one question per blue book. No credit will be awarded for answers without

More information

Schedulability Analysis under Graph Routing in WirelessHART Networks

Schedulability Analysis under Graph Routing in WirelessHART Networks Scedulability Analysis under Grap Routing in WirelessHART Networks Abusayeed Saifulla, Dolvara Gunatilaka, Paras Tiwari, Mo Sa, Cenyang Lu, Bo Li Cengjie Wu, and Yixin Cen Department of Computer Science,

More information

Targeted Pricing, Consumer Myopia and Investment in Customer-Tracking Technologie

Targeted Pricing, Consumer Myopia and Investment in Customer-Tracking Technologie No 3 Targeted Pricing, Consumer Myoia and Investment in Customer-Tracking Tecnologie Irina aye, Geza Sai February 204 IMPRINT DICE DISCUSSION PPER Publised by düsseldorf university ress (du) on bealf of

More information

The Real Business Cycle Model

The Real Business Cycle Model The Real Business Cycle Model Ester Faia Goethe University Frankfurt Nov 2015 Ester Faia (Goethe University Frankfurt) RBC Nov 2015 1 / 27 Introduction The RBC model explains the co-movements in the uctuations

More information

Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations

Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations Difference Equations to Differential Equations Section 3.3 Differentiation of Polynomials an Rational Functions In tis section we begin te task of iscovering rules for ifferentiating various classes of

More information

Tis Problem and Retail Inventory Management

Tis Problem and Retail Inventory Management Optimizing Inventory Replenisment of Retail Fasion Products Marsall Fiser Kumar Rajaram Anant Raman Te Warton Scool, University of Pennsylvania, 3620 Locust Walk, 3207 SH-DH, Piladelpia, Pennsylvania 19104-6366

More information

Rewards-Supply Aggregate Planning in the Management of Loyalty Reward Programs - A Stochastic Linear Programming Approach

Rewards-Supply Aggregate Planning in the Management of Loyalty Reward Programs - A Stochastic Linear Programming Approach Rewards-Supply Aggregate Planning in te Management of Loyalty Reward Programs - A Stocastic Linear Programming Approac YUHENG CAO, B.I.B., M.Sc. A tesis submitted to te Faculty of Graduate and Postdoctoral

More information

1. Case description. Best practice description

1. Case description. Best practice description 1. Case description Best practice description Tis case sows ow a large multinational went troug a bottom up organisational cange to become a knowledge-based company. A small community on knowledge Management

More information