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Optimal taxation and public provision for poverty reduction

Kanbur, Ravi,Paukkeri, Tuuli,Pirttilä, Jukka,Tuomala, Matti

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In Tax Public Finance (2018) 25:64–98 h ps://doi.o g/10.1007/s10797-017-9443-6 Op imal axa ion and public p o ision o po e y educ ion Ra i Kanbu 1·Tuuli Paukke i2,3· Jukka Pi ilä4,5·Ma i Tuomala5 Published online: 27 Ap il 2017 © The Au ho (s) 2017. This a icle is an open access publica ion Abs ac The exis ing li e a u e on op imal axa ion ypically assumes he e exis s a capaci y o implemen complex ax schemes, which is no necessa ily he case o many de eloping coun ies. We examine he de e minan s o op imal edis ibu i e policies in he con ex o a de eloping coun y ha can only implemen linea ax policies due o adminis a i e easons. Fu he , he educ ion o po e y is ypically he exp essed goal o such coun ies, and his ea u e is also aken in o accoun in ou model. We de i e he op imali y condi ions o linea income axa ion, commodi y axa ion, and public p o ision o p i a e and public goods o he po e y minimiza ion case and compa e he esul s o hose de i ed unde a gene al wel a is objec i e unc ion. We also s udy he implica ions o in o mali y on op imal edis ibu i e policies o such coun ies. The exe cise e eals non- i ial di e ences in op imal ax ules unde he di e en assump ions. BTuuli Paukke i uuli.paukke i@ a . i Ra i Kanbu [email p o ec ed] Jukka Pi ilä jukka@wide .unu.edu Ma i Tuomala [email p o ec ed] 1Co nell Uni e si y, I haca, NY, USA 2VATT Ins i u e o Economic Resea ch, Helsinki, Finland 3Aal o Uni e si y, Helsinki, Finland 4UNU-WIDER, Helsinki, Finland 5Uni e si y o Tampe e, Tampe e, Finland 123 Op imal axa ion and public p o ision o po e y educ ion 65 Keywo ds Redis ibu ion ·Income axa ion ·Commodi y axa ion ·Public good p o ision ·Po e y JEL Classi ica ion H21 ·H40 ·O12 1 In oduc ion High le els o wi hin-coun y inequali y in many o he wise success ul de eloping coun ies ha e become a key policy conce n in global de elopmen deba e. While some coun ies ha e e y unequal inhe en dis ibu ions (e.g., due o his o ical land owne ship a angemen s), in o he s he ui s o economic g ow h ha e been unequally sha ed. No ma e wha he unde lying eason o he high inequali y, o en he only di ec way o go e nmen s o a ec he dis ibu ion o income is ia edis ibu i e ax and ans e sys ems. Clea ly, public spending on social se ices also has an impac on he dis ibu ion o well-being, al hough some o he e ec s (such as skill-enhancing impac s om educa ional in es men ) only ma e ialize o e a longe ime ho izon. Re lec ing he desi e o educe po e y and inequali y, edis ibu i e ans e sys- ems ha e, indeed, p oli e a ed in many de eloping coun ies. S a ing om La in Ame ica, hey a e now sp eading o low-income coun ies, including hose in Sub- Saha an A ica.1In low-income coun ies, in pa icula , edis ibu i e a angemen s ia ans e s a e s ill a an ea ly s age, and hey o en consis o isola ed, dono -d i en p og ams. The e is an u gen and well- ecognized need o mo e away om sca e ed p og ams o mo e comp ehensi e ax-bene i sys ems. This pape examines he op imal design o cash ans e s, commodi y axes (o sub- sidies), he p o ision o public and p i a e goods (such as educa ion and housing), and inancing hem by a linea income ax. The pape also includes an analysis o op imal income axa ion in he p esence o an in o mal sec o . The pape he e o e p o ides an o e iew o many o he mos ele an ins umen s o edis ibu i e policies ha a e needed o a sys em-wide analysis o social p o ec ion. We build on he op imal income ax app oach, which is ex ensi ely used in he de eloped coun y con ex 2, bu much less applied o he design o edis ibu i e sys ems in de eloping coun- y ci cums ances. This app oach, ini ia ed by Mi lees (1971), allows o a igo ous ea men o e iciency conce ns (e.g., he po en ially ha m ul e ec o dis o iona y axa ion on employmen ) and edis ibu i e objec i es. Achie ing he go e nmen ’s edis ibu i e objec i es is cons ained by limi ed in o ma ion: he social planne can- no di ec ly obse e indi iduals’ income-ea ning capaci y, and he e o e i needs o base i s ax and ans e policies on obse able a iables, such as g oss income. The mos gene al o mula ions o op imal ax models apply nonlinea ax schedules, bu in a de eloping coun y con ex , using ully nonlinea axes is a ely easible. In his pape , we he e o e limi he analysis o edis ibu i e linea income axes, which combine a 1Fo a ecen ea men and su ey, see Ba ien os (2013). 2See IFS and Mi lees (2011) o an in luen ial applica ion o op imal ax heo y o policy analysis o ich coun ies. 123 66 R. Kanbu e al. lump-sum ans e wi h a p opo ional income ax, and which can be implemen ed by wi hholding a sou ce i necessa y. Linea income axes a e no e y common in p ac ice: less han 30 coun ies had la ax a es o pe sonal income in 2012, wi h some concen a ion in ex-So ie Eas e n Eu ope (Peichl 2014). I is no ewo hy ha e en hough la axes a e no pa icula ly common in low-income coun ies, in many ins ances in such coun ies he p og essi e income ax eaches only a small sha e o he popula ion. This would indica e ha despi e he exis ence o a p og essi e income ax, hese coun ies do no ye possess enough ax capaci y o implemen well- unc ioning p og essi e income axes. This is one mo i a ion o ou in e es o modeling op imal linea axes. Peichl (2014) sugges s ha simpli ica ion bene i s can be especially ele an o de eloping coun ies.3 In con en ional op imal axa ion models, he go e nmen ’s objec i e unc ion is modeled as a social wel a e unc ion, which depends di ec ly on indi idual u ili ies. We depa om his wel a is app oach by p esen ing gene al non-wel a is ax ules, as in Kanbu e al. (2006), and, in pa icula , op imal ax and public good p o ision ules when he go e nmen is assumed o minimize po e y. We ha e chosen his app oach as i esembles well he one o much o he policy discussion in de eloping coun- ies, including he Millennium De elopmen Goals (MDGs) and he new Sus ainable De elopmen Goals (SDGs), whe e he objec i e is explici ly o educe po e y a he han maximize well-being.4Simila ly, he discussion ega ding cash ans e sys ems is o en couched especially in e ms o po e y alle ia ion. While we do no necessa ily wan o ad oca e po e y minimiza ion o e o he social objec i es, we ega d exam- ining i s implica ions, and con as ing hem wi h adi ional wel a is ic app oaches, use ul. Using non-wel a is objec i es is, as such, no hing new in economics. In ac , as Sen (1985) has a gued, one can be c i ical o u ili a ianism o many easons. No e also ha he objec i e o po e y minimiza ion is no a odds wi h he es ic ion o a linea ax scheme ha we impose: a la ax egime oge he wi h a lump-sum income ans e componen can achie e simila amoun s o edis ibu ion owa d he poo as a p og essi e ax sys em, i speci ied sui ably (Keen e al. 2008;Peichl 2014). In all ou analysis, we i s p esen wel a is ax ules (which a e mos ly al eady a ailable in he li e a u e) o p o ide a benchma k o examine how applying po e y minimiza ion as an objec i e changes he op imal ax and public se ice p o ision ules. We also deal wi h some ex ensions o exis ing models, which a e mo i a ed by he de eloping coun y con ex , such as he case whe e public p o ision a ec s he indi iduals’ income-ea ning capaci y, hus cap u ing (albei in a e y s ylized way) possibili ies o a ec hei capabili ies. An impo an ea u e o ake in o accoun in ax analysis o de eloping coun ies is he p esence o a la ge in o mal sec o , and we also examine he implica ions o his o op imal edis ibu i e policies. Ou pape is ela ed o a ious s ands o ea lie li e a u e. Fi s , Kanbu e al. (1994) and Pi ilä and Tuomala (2004) s udy op imal income ax and commodi y ax ules, espec i ely, om he po e y alle ia ion poin o iew, bu hei pape s build on he nonlinea ax app oach which is no well sui ed o de eloping coun ies. Kanbu and 3No e ha i migh be easonable o some coun ies o mo e o a p og essi e income ax sys em as hei ax capaci y inc eases wi h de elopmen ; he s udy o such dynamics is beyond he scope o his pape . 4In ac , he i s SDG is simply “End po e y in all o i s o ms e e ywhe e.” 123 Op imal axa ion and public p o ision o po e y educ ion 67 Keen (1989) do conside linea income axa ion oge he wi h po e y minimiza ion, bu hey do no p oduce op imal ax ules bu ocus on a ax e o m pe spec i e, and p o ide ax a e simula ions. O he s ha e conside ed di e en depa u es om he wel a is s anda d. Fo example, Fleu baey and Manique (2007) conside ai ness as an objec i e o he ax- ans e sys em and i s implica ions on op imal axa ion. Roeme e al. (2003) employ a maximin ype o social goal and cha ac e ize how well ax and ans e sys ems achie e he goal o equali y o oppo uni y. Second, ou wo k is ela ed o new con ibu ions in beha io al public inance, which add ess he si ua ion whe e he beha io al biases o he indi iduals lead he social planne o adop a di e en objec i e unc ion han he indi iduals ha e; see Che y (2015), Ge i sen (2016), Fa hi and Gabaix (2015). A hi d s and o li e a u e conside s axa ion and de elopmen mo e gene ally, such as Go don and Li (2009), Keen (2009,2012), Bi d and Gend on (2007) and Besley and Pe sson (2013).5This ield, while clea ly e y ele an , has no concen a ed much on he design o op imal edis ibu i e sys ems. Finally, op imal linea income axa ion has been s udied om he s anda d wel a is pe spec i e. We desc ibe hese models in Sec . 2.1. The mos ecen desc ip ion o linea income ax models can be ound in Pike y and Saez (2013). They also emphasize how linea ax ules, while analy ically mo e easible, p o ide he same in ui ion as he mo e complica ed nonlinea models. The linea ax ules, hey a gue, a e obus o al e na i e speci ica ions6, and examining his o ms pa o ou mo i a ion: we s udy op imal linea ax policies, in ou unde s anding o he i s ime, om he po e y minimiza ion pe spec i e. The pape p oceeds as ollows. Sec ion 2examines op imal linea income axa- ion, while Sec . 3 u ns o op imal p o ision ules o publicly p o ided p i a e and public goods ha a e inanced by such a linea income ax. Sec ion 4analyzes he combina ion o op imal linea income axes and commodi y axa ion and asks unde which condi ions one should use di e en ia ed commodi y axa ion i he go e nmen is in e es ed in po e y minimiza ion and also has op imal cash ans e s a i s disposal. The ques ion o how op imal po e y-minimizing income ax policies a e al e ed in he p esence o an in o mal sec o is examined in Sec . 5, whe eas Sec . 6p esen s a nume ical illus a ion o op imal income axa ion o po e y minimiza ion. Finally, conclusions a e p o ided in Sec . 7. 2 Linea income axa ion 2.1 Op imal linea income axa ion unde he wel a is objec i e In his sec ion, we gi e an o e iew o some o he models and esul s o op imal linea income axa ion as hey ha e been p esen ed in he li e a u e. Many o mulae o op imal axa ion we e de eloped in he 1970s and 1980s (see Dixi and Sandmo 1977; 5Besley and Pe sson (2013) use a model wi h g oups ha can di e in hei income-ea ning abili ies. Thei analysis ocuses, howe e , on explaining how economic de elopmen and ax capaci y a e in e ela ed, and no on edis ibu ion be ween indi iduals. 6They also desc ibe some implica ions o depa u es om he wel a is s anda d in he op imal nonlinea ax model. 123 68 R. Kanbu e al. Tuomala 1985 and he su ey by Tuomala 1990), and hey a e s ill being used, whe eas Pike y and Saez (2013) o e esh exp essions o he ax ules. Ou exposi ion mainly ollows ha o Tuomala (1985), bu Appendix 1shows how he esul s ela e o hose in Pike y and Saez (2013). The go e nmen collec s a linea income ax τ, which i uses o inance a lump- sum ans e b, along wi h o he exogenous public spending R. The indi iduals di e in hei income-ea ning capaci y (wi), and zideno es indi idual labo income (wiLi, whe e Li ep esen s hou s wo ked). Consump ion equals ci=(1−τ)zi+b, whe e he supe sc ip -i e e s o indi iduals.7The e is a disc e e dis ibu ion o Nindi iduals, whose he e ogeneous p e e ences o e consump ion and labo a e cap u ed by he u ili y unc ion ui(ci,zi). The maximized (subjec o he indi idual budge cons ain ) alue o his u ili y unc ion is cap u ed by he indi ec u ili y unc ion, which is deno ed by Vi(1−τ,b), and we e e o he ne -o - ax a e as 1 −τ=a. To simpli y no a ion, subsc ip -a e e s o he de i a i e wi h espec o he ne -o - ax a e. The go e nmen has edis ibu i e objec i es ep esen ed by a Be gson–Samuelson unc ion WV1,...,VNwi h W>0, W <0. The go e nmen ’s p oblem is o choose he ax a e τand ans e bso as o maximize he social wel a e unc ion WVi(a,b)unde he budge cons ain (1−a)zi=Nb+R.8We deno e he social ma ginal u ili y o income by βi=WVVi b. All he ma hema ical de ails a e p esen ed in Appendix 1. The e i is shown ha he op imal ax ule is gi en by τ∗ 1−τ∗=1 ε1−z(β) ¯z,(1) whe e ε=d¯z d(1−τ) (1−τ) ¯zis he elas ici y o o al income wi h espec o he ne -o - ax a e, ¯zis a e age income and z(β) =βizi βiwel a e-weigh ed a e age income. De ine Ω=z(β) ¯z, so ha I=1−Ωis a no ma i e measu e o inequali y o , equi alen ly, o he ela i e dis o ion a ising om he second-bes ax sys em. Clea ly Ωshould a y be ween ze o and uni y. One would expec i o be a dec easing unc ion o τ (gi en he pe capi a e enue equi emen g=R N). The e is a minimum easible le el o τ o any gi en posi i e g, and o cou se gmus no be oo la ge, o no equilib ium is possible. Hence any solu ion mus also sa is y τ>τ min i he ax sys em is o be p og essi e. Tha is, i he ax does no aise su icien e enue o inance he non- ans e expendi u e, R, he sho all mus be made up by imposing a poll ax (b<0) on each indi idual. One would also expec he elas ici y o labo supply wi h espec o he ne -o - ax a e o be an inc easing unc ion o τ(i need no be). We can ew i e (1)asτ∗=1−Ω 1−Ω+ε o illus a e he basic p ope ies o he op imal ax a e. Because ε≥0 and 0 ≤Ω<1, bo h he nume a o and denomina o a e nonnega i e. The op imal ax a e is hus be ween ze o and one. The o mula cap u es 7We conside “income” he e as he labo income o indi iduals, bu conside ing ha ou model is in ended especially o he poo e coun ies, ag icul u al income could as well be included in he concep o income. In Sec . 5we discuss he implica ions o un axed home consump ion in ag icul u al p oduc ion. 8Summa ion is always o e all indi iduals i, which is supp essed o simpli ica ion. 123 Op imal axa ion and public p o ision o po e y educ ion 69 nea ly he e iciency-equi y ade-o . τdec eases wi h εand Ω, and we ha e he ollowing gene al esul s: (1) In he ex eme case whe e Ω=1, i.e., he go e nmen does no alue edis ibu ion a all, τ=0 is op imal. We can call his case libe a ian. Acco ding o he libe a ian iew, he le el o disposable income is i ele an ( uling ou bo h basic income b, and o he public expendi u es, g, unded by he go e nmen ). (2) I he e is no inequali y, hen again Ω=1 and τ=0. The e is no in e en ion by he go e nmen . The inhe en inequali y will be ully e lec ed in he disposable income. Fu he mo e, lump-sum axa ion is op imal; b=−go T=−b. (3) We can call he case whe e Ω=0 as “Rawlsian” o maximin p e e ences. The go e nmen maximizes ax e enue (op imal τ=1 1+ε) as i maximizes he basic income b(assuming he wo s o indi idual has ze o labo income). In ac , maximizing bcan be ega ded as a non- wel a is case, which is he ocus in he nex subsec ion. 2.2 Op imal linea income axa ion unde non-wel a is objec i es A non-wel a is go e nmen is one ha ollows a di e en se o p e e ences han hose employed by indi iduals hemsel es (Kanbu e al. 2006). Thus, ins ead o maximizing a unc ion o indi idual u ili ies, he go e nmen has o he , pa e nalis ic objec i es ha go beyond u ili ies. A special case aken up in mo e de ail below is he objec i e o minimizing po e y in he socie y. To be as gene al as possible, le us de ine a “social e alua ion unc ion” (as in, e.g., Kanbu e al. 2006)asS=F(ci,zi), which he go e nmen maximizes ins ead o he social wel a e unc ion. F(ci,zi)measu es he social alue o consump ion ci o a pe son wi h income ziand can be ela ed o u(ci,zi)bu is no es ic ed o i . Following Tuomala’s model as abo e, gi en he ins umen s a ailable, linea income ax τ, lump-sum g an band o he expendi u e R he go e nmen hus maximizes F(azi+b,zi)subjec o he budge cons ain (1−a)zi−Nb =R. De ine Fc(zi+azi a)+Fzzi a Fc(1+azi b)+Fzzi b≡˜ F,(2) which e lec s he ela i e impac o axes and ans e s on he social e alua ion unc- ion. Using his de ini ion, and ollowing he same s eps as in he p e ious sec ion (see Appendix), he op imal ax a e becomes: τ∗ 1−τ∗=1 ε1− ˜ F ¯z.(3) The esul esembles he wel a is ax ule in (1). In addi ion o labo supply conside a- ions ia he e m 1 ε, hey bo h en ail a e m ha measu es he ela i e bene i s o axes and ans e s, in he wel a is case ia wel a e-weigh ed income, in he non-wel a is case ia ˜ F, he ela i e impac on he social e alua ion unc ion. No e ha since unde non-wel a ism indi iduals a e no necessa ily a hei u ili y op imum, he en elope condi ion does no apply and hus he beha io al esponses zi aand zi ba e no cancelled 123 70 R. Kanbu e al. ou in ˜ F. Tha is, he impac s o ax changes on labo supply a e no i ial unde non-wel a ism. The e ms zi a(Fca+Fz)in he nume a o and zi b(Fca+Fz) in he denomina o o (2) cap u e hese e ec s on he social e alua ion unc ion. I axa ion had no beha io al impac s (zi a=zi b=0), i would a ec he alue o he social e alua ion unc ion only by mechanically al e ing indi idual a e - ax income. No e ha in his case, ˜ F=Fczi Fcwould be a mo e di ec equi alen o z(β) =βizi βi. The same equi alence would be achie ed also when Fca+Fz=0, ha is, he social ma ginal a e o subs i u ion be ween income and consump ion equals he p i a e a e: −Fz Fc=a=− ui z ui c ( he la e is ob ained om he indi idual’s i s -o de condi ion). In hese cases, ˜ Fwould be a pu ely edis ibu i e e m, albei a non-wel a is ic one. Pa e nalis ic conce ns addi ionally en e he op imal ax ule ia labo supply changes, cap u ed by he esponse o z.In his way, he ax ule in (3) can be decomposed, and his decomposi ion is simila in spi i o he co ec i e pa s o he ax o mulae in he new op imal ax li e a u e wi h beha io al agen s, such as Fa hi and Gabaix (2015) and Ge i sen (2016). The signs and magni udes o Fcand Fzand hus o ˜ Fdepend on he speci ic objec i e o he go e nmen , ha is, on he shape o F. Le us conside he speci ic case o po e y minimiza ion below. 2.2.1 Special case: po e y minimiza ion Now le us de i e he op imal linea ax esul s o a go e nmen whose objec i e is o minimize po e y in socie y. The ins umen s a ailable o he go e nmen a e he same, τand b, and o he exogenous expendi u e is R. No e i s ha he e enue-maximizing ax a e is in ac equi alen o he ax a e ob ained om a maximin objec i e unc ion, since when he go e nmen only ca es abou he po e y (consump ion) o he poo es indi idual, i s only goal is o maximize edis ibu ion o his indi idual, i.e., maximize ax e enue. Le us i s de ine he objec i e unc ion o he go e nmen explici ly. Po e y is de ined as dep i a ion o indi idual consump ion ci ela i e o some desi ed le el ¯c and measu ed wi h a dep i a ion index Dci,¯c, such ha D>0∀c∈[0,¯c)and D=0 o he wise, and Dc<0,Dcc ≥0∀c∈[0,¯c),asinPi ilä and Tuomala (2004). A ypical example o such an index would be he Pα amily o Fos e –G ee – Tho becke (FGT) po e y indices. We discuss he applica ion o FGT indices in ou model in Appendix 2. No e, howe e , ha he choice o po e y index depends on he p e e ences o he go e nmen , whe he hey wish o minimize he o al amoun o dep i a ion in he socie y, o a e o ins ance conce ned especially abou he incomes o he poo es o he poo . The social e alua ion unc ion F(ci,zi)becomes Dci,¯c and he objec i e unc ion is min P=Dci,¯c.NowFc=Dcand Fz=0, so ˜ F=˜ D=Dczi+azi a Dc1+azi b,(4) and he op imal ax ule becomes: 123 Op imal axa ion and public p o ision o po e y educ ion 71 τ∗ 1−τ∗=1 ε1− ˜ D ¯z.(5) Since now Fz=0, he esul is close o (1) han (3) was, al hough pa o he labo supply impac s s ill emain. He e ˜ Ddesc ibes he ela i e e iciency o axes and ans e s in educing dep i a ion. Bo h he nume a o and denomina o o ˜ Ddepend on Dc, so he di e ence in he ela i e e iciency o he wo depends on zi aand zi b.The mo e people eac o axes ( ela i e o ans e s) by ea ning less, he highe is ˜ Dand he lowe should he ax a e be. In (1), he highe is he social alue o income, he highe is z(β) and he lowe should he ax a e be. Since he o m o he esul is simila in he wel a is and he po e y minimiza ion cases, he analysis could be also seen as a special case o he a gumen in Saez and S an che a (2016), who de i ed gene alized social wel a e weigh s and exp ess he ax o mulae in e ms o hose.9He e, he gene alized social wel a e weigh would hus be de i ed om a po e y minimiza ion objec i e. I could be close o a sui ably de ined wel a is c i e ion, and clea ly i would be exac ly he same only i he wel a is c i e ion would co espond o he chosen po e y minimiza ion objec i e. We can also ew i e ˜ D,usinga=1−τ,as:Dczi+(1−τ) ∂zi ∂(1−τ) Dc1+(1−τ)zi b= Dc1+(1−τ) zi ∂zi ∂(1−τ)zi Dc1+(1−τ)zi b=Dc1+εizi Dc1+(1−τ)zi b. Thus he ˜ Din he op imal ax esul (5) en ails a u he conside a ion ha depends on labo supply esponses. I com- bines pa e nalis ic p e e ences—how much po e y is educed—wi h he beha io al esponses o a ax sys em—how much labo income inc eases when he ake-home pay goes up. The la e e ec ends o lowe he op imal ax a e o induce he poo o wo k mo e. Kanbu e al. (1994) ind a simila esul in hei nonlinea po e y-minimizing ax model. He e, howe e , we a e es ic ed o lowe he ax on e e yone ins ead o only he poo es indi iduals. To summa ize, he non-wel a is ax ules di e om he wel a is ones, depending on he de ini ion o non-wel a ism in ques ion ( he Fcand Fz e ms). Howe e , when we ake po e y minimiza ion as he speci ic case o non-wel a ism, he ax ules a e qui e simila o wel a is ones. The basic di e ence is ha equi y is no conside ed in wel a e e ms bu in e ms o po e y educ ion e ec i eness. A mo e no able di e ence a ises om e iciency conside a ions. Wi h linea axa ion, aking in o accoun labo supply esponses means ha e e ybody’s ax a e is a ec ed, ins ead o jus he a ge g oup’s. I we wan o induce he poo o wo k mo e o educe hei po e y, we need o lowe e e yone’s ax a e. The wel a is linea ax ule does no ake his in o accoun . I is no , howe e , possible o s a e ha unde po e y minimiza ion ax a es a e op imally lowe han unde wel a e maximiza ion, since we canno di ec ly compa e he wel a e and dep i a ion e ms. Howe e , he e is an addi ional e iciency conside a ion in ol ed unde po e y minimiza ion. Nonlinea ax ules o cou se make i possible o a ge lowe ax a es on he poo e indi iduals, bu in a de eloping coun y con ex wi h 9We a e g a e ul o a e e ee o his poin . 123 72 R. Kanbu e al. lowe adminis a i e capaci y his is no necessa ily possible, and such conside a ions a ec e e yone’s ax a e. 3 Public good p o ision wi h linea income axes 3.1 Op imal public p o ision unde he wel a is objec i e Le us i s ex end he wel a is model o linea axa ion o include he p o ision o pu e public goods. The go e nmen o e s a uni e sal pu e public good G, which en e s indi idual u ili ies in addi ion o he consump ion o p i a e goods. The go e nmen ’s objec i e unc ion is now WVi(a,b,G), whe eas he budge cons ain becomes (1−a)zi−Nb −NπG=Rwhe e πis he p oduce p ice o he public good. The consume p ice o p i a e consump ion is no malized o 1. Le us now de ine he ma ginal willingness o pay o he public good by he exp ession σ=VG Vband σ∗=βiσi βias he wel a e-weigh ed a e age ma ginal a e o subs i u ion be ween public good and income o indi idual i. The ule o public p o ision can hen be w i en as π=σ∗−τσ∗¯zb−¯zG.(6) This public good p o ision ule is a e sion o a modi ied Samuelson ule. I equa es he ela i e cos o p o iding he public good o he wel a e-weigh ed sum o ma ginal a es o subs i u ion (MRS). I also includes a e enue e m, which akes in o accoun he impac s o public good p o ision and income ans e s on labo supply and hus ax e enue. Conside i s he case when labo supply does no depend on public good p o ision and he e a e no income e ec s, i.e., ¯zG=¯zb=0. Then we a e le wi h a mo e amilia ule ha wel a e-weigh ed agg ega e MRS mus equal he cos o he public good. When we add income e ec s so ha ¯zb<0, and since σ∗is posi i e, hen because o he second e m in (6), he inancing cos s o he public good a e educed. Likewise, i labo supply and public p o ision a e posi i ely ela ed, he inancing cos s o he public good a e educed. 3.2 Op imal p o ision o public goods unde po e y minimiza ion Now conside a non-wel a is go e nmen in e es ed in minimizing po e y. The public good Gwhich i o e s en e s he dep i a ion index sepa a ely om o he , p i a e consump ion x:Dx,G,¯x,¯ G. The go e nmen s ill o e s a lump-sum cash ans e bas well and inances i s expenses wi h he linea income ax τ. Again al e na i e o mula ions o he public good p o ision ule can be w i en. The i s is π=D∗−τD∗¯zb−¯zG,(7) which can be compa ed wi h Eq. (6). He e, D∗=DG+Dxazi G Dx1+azi bcap u es he e iciency o he public good in educing dep i a ion ela i e o he income ans- 123 Op imal axa ion and public p o ision o po e y educ ion 79 whe eas, unde he assump ion ha he e a e no income e ec s in e asion, he i s - o de condi ion wi h espec o bs ays he same. F om he e, we can de i e a ule o he op imal ax ollowing he same s eps as in Sec . 2.2: τ∗ 1−τ∗=1 εe1− ˜ De ¯ze,(17) whe e now εeis a ax elas ici y o he ne -o -e asion ax base ¯ze=¯z−¯eand ˜ De ep esen s he ela i e impac o axes and ans e s on he dep i a ion index (see Appendix 1 o u he de ail). The ule ep esen s a ade-o be ween po e y educ- ion and e iciency, bo h o which a e now al e ed by e asion. The e is a p essu e owa d lowe ax a es, as now dis o ions o axa ion a e inc eased by e asion beha - io , so εe>ε. Con a y o his e ec , ˜ Deis educed compa ed o ˜ Dbecause educing axes (inc easing a) is now a less use ul ins umen o po e y educ ion, as pa o he axes ha e been e aded. As ∂e ∂a<0, people pay mo e axes when ax a es a e educed, and he e o e po e y in ac inc eases. ˜ De hus wo ks o inc ease ax a es. The e o e, an in e es ing ade-o a ises: in o mali y inc eases he cos o aising axes, bu i also means ha highe axes a e less ha m ul as hose in he in o mal sec o do no need o pay hem (and hey a e s ill en i led o he lump-sum ans e ).14 These coun e ailing o ces ha e no been no ed by he li e a u e be o e. The p esence o in o mali y he e o e seems o gi e ise o ax policy ules ha a e a om i ial. Fu u e wo k could also look mo e deeply in o he issue o he ax mix in he p es- ence o in o mali y. I income ax is mo e easily e aded han commodi y axa ion, as Boadway e al. (1994) sugges , his could gi e ise o policies ha ocus axa ion and edis ibu ion on commodi y axes and subsidies, ins ead o income axes and lump- sum ans e s. Slem od and Gilli ze (2014) ha e also sugges ed ocusing on a “ ax sys ems app oach” and including, among o he hings, e asion beha io in o op imal axa ion analysis o ob ain mo e use ul p esc ip ions o ac ual ax policy. This opic ce ainly dese es a mo e de ailed analysis. 6 A nume ical illus a ion To u he illus a e he di e ences o ax a es unde po e y minimiza ion and wel- a ism, we p o ide a simple nume ical simula ion. He e we concen a e on he special case whe e he e a e no income e ec s on labo supply and he elas ici y o labo sup- ply wi h espec o he ne -o - ax wage a e is cons an . I εdeno es his elas ici y, he quasi-linea indi ec u ili y unc ion is gi en by (w(1−τ),b)=b+[w(1−τ)]1+ε 1+ε,so ha εis cons an . Like mos wo k on op imal nonlinea and linea income axa ion, we use he logno mal dis ibu ion ln(n,mσ2) o desc ibe he dis ibu ion o p oduc i i ies wi h suppo [0,∞)and pa ame e s mand σ(see Ai chison and B own 1957). The i s pa ame e , m, is he log o he median wage. The second pa ame e , he a iance 14 The idea ha hose in he in o mal sec o can s ill ecei e ans e s ma ches well wi h eali y: many o he cash ans e sys ems each hose wi h li le o no connec ion o he o mal sec o . 123 80 R. Kanbu e al. o log wage σ2, is i sel an inequali y measu e. As is well known, he logno mal dis i- bu ion i s easonably well o e a la ge pa o he income ange bu di e ges ma kedly a bo h ails. The Pa e o dis ibu ion in u n i s well a he uppe ail. We also use he wo-pa ame e e sion o he Champe nowne dis ibu ion (known also as he Fisk dis ibu ion). This dis ibu ion app oaches asymp o ically a o m o Pa e o dis ibu ion o la ge alues o wages bu i also has an in e io maximum. In ou simula ions, he e enue equi emen is se o ze o; hus, he sys em is pu ely edis ibu i e. To illus a e he po e y-minimizing ax o mula in (3), we also need o speci y a measu e o po e y. Typically, po e y indices consis o compu ing some a e age measu e o dep i a ion by se ing indi idual needs as de ined abo e a he ag eed upon po e y line ¯c. Fo his pu pose, we ake a po e y index o he o m de eloped by Fos e e al. (1984). They ha e p oposed de ining a po e y index as he a e age o hese po e y gaps ac oss indi iduals aised o some powe α. When α=1, i is jus he p opo ion o uni s below he po e y line mul iplied by he a e age po e y gap. (See Appendix 2 o mo e de ails.) We conside he cases whe e ei he 30 o 40% o he popula ion lie below he po e y line. The esul s om he simula ion o he op imal ax when he go e nmen minimizes he po e y gap o he logno mal case a e p esen ed in Table 1. Resul s a e shown o wo di e en alues o labo supply elas ici y ε, wo di e en alues ega ding income dispe sion σ, and wo alues o he sha e o popula ion below he po e y line F(¯w). The ax a es a e high, abo e 60%, o all he combina ions o pa ame e alues.15 Compa ing hese esul s o he wel a is case is no s aigh o wa d, as hose depend on he chosen wel a e unc ion. We adop a cons an ela i e inequali y a e sion o m o he wel a e unc ion: he con ibu ion o social wel a e o he i h indi idual is w1−η i 1−η, whe e ηis he cons an ela i e inequali y a e sion coe icien . Hence, he social ma ginal alue o income o an indi idual wi h wage a e wis p opo ional o w−η. Using he p ope y o he logno mal dis ibu ion ln(E(ws)) =sm +s2σ2 2, we can calcula e he op imal ax a e om he ollowing o mula: τ 1−τ=1 ε[1−e−η(1+ε)σ2]. O , using he p ope y o he logno mal dis ibu ion ha ln(1+c 2)=σ2, whe e c is he coe icien o a ia ion, we can ew i e τ=1 1+ε/[1+c 2]−η(1+ε) . A wide ange o alues o he inequali y a e sion pa ame e ηha e been employed in he li e a u e, a ying ypically om 0.5 o 2. No e ha , as discussed in Sec . 2.1,as η→∞, social p e e ences app oach “maximin” p e e ences, whe e he op imal ax a e is he same as he e enue-maximizing ax a e, τ=1 1+ε, which does no depend on he o iginal income dis ibu ion. Na u ally, i he e is no ega d o inequali y in he socie y, η=0 and τ=0. Table 2displays he wel a is ic ax simula ion esul s o wo di e en alues o labo supply elas ici y ε, o wo di e en alues o income dispe sion σ, and o i e di e en alues o inequali y a e sion η. The simula ion esul s illus a e clea ly ha a con en ional inequali y a e sion le els, op imal wel a is ic ax a es lie well below he po e y-minimizing a es. Only as inequali y a e sion becomes ex emely high do he wel a is ic a es app oach he 15 The esul s a e e y simila using he Champe nowne dis ibu ion (wi h income dispe sion pa ame e s chosen so ha inequali y is simila in bo h cases), which is no e y su p ising as he dis ibu ions only di e a he op o he income schedule. These esul s a e a ailable upon eques . 123 Op imal axa ion and public p o ision o po e y educ ion 81 Table 1 Simula ed ax a es o po e y minimiza ion unde di e en alues o ε,σ,andF(¯w) εσ=0.7σ=1.0 F(¯w) =0.3F(¯w) =0.4F(¯w) =0.3F(¯w) =0.4 0.25 79 77 79 78 0.5 65 63 66 64 Table 2 Simula ed ax a es in he wel a is ic case unde di e en alues o ε,σ,andη εσ=0.7 η=0.5η=1η=2η→∞ 0.25 43 58 69 80 0.5 31 44 56 67 εσ=1.0 η=0.5η=1η=2η→∞ 0.25 52 65 74 80 0.5 38 51 61 67 po e y-minimizing ones. Wi h po e y minimiza ion as he social objec i e, op imal ax a es a e close o he e enue-maximizing “maximin” a e. Ano he poin o compa ison could be he wel a is ic linea ax simula ions o S e n (1976). His calcula ions di e om ou s as he inco po a es income e ec s and a non- cons an elas ici y o labo supply wi h espec o he ax a e.16 Wi h he elas ici y o subs i u ion be ween consump ion and leisu e a 0.5 and income dispe sion desc ibed by σ=0.39, as conce n o inequali y ises om low o medium and high, he inds ax a es ising om 19 o 43 and 48%. The ex eme “maximin” esul is 80%. These ax a es a e also clea ly lowe han he po e y-minimizing a es, excep a e y ex eme alues o inequali y a e sion. These nume ical examples and S e n’s (1976) esul s end o sugges ha he ax a es o he po e y minimiza ion case a e likely o be highe han o many wel a is examples. The esul s compa e o Kanbu e al. (1994), who also ound ha he (non- linea ) ma ginal ax a es on he poo a e ai ly high unde he po e y minimiza ion objec i e. Bo h hei and ou esul s a e in e es ing om he poin o iew ha he ana- ly ical o mulae o he op imal ax a e include a e m ha , ce e is pa ibus, encou ages labo supply, bu in compu a ional esul s i s in luence is o se , mos likely, by he need o minimize he po e y gap. The highe he po e y a e, he highe he lump- sum g an inanced by hese axes needs o be, in o de o aise mo e people ou o po e y. 16 Ou simpli ying assump ions allow us o p o ide ax a es wi h espec o he h ee pa ame e s in Table 2. 123 82 R. Kanbu e al. 7 Conclusion This pape examined op imal linea income axa ion, public p o ision o public and p i a e goods and he op imal combina ion o linea income ax and commodi y axes when he go e nmen ’s aim is o minimize po e y. The linea ax en i onmen was chosen because such axes a e mo e easily implemen able in a de eloping coun y con ex and since op imal linea ax ules a e seen o p o ide simila in ui ion as he mo e complex nonlinea ax o mulas. The esul s show ha he linea income ax includes addi ional componen s ha wo k owa d lowe ing he ma ginal ax a e. This esul a ises om he goal o boos ea nings o educe income po e y. Unlike in he op imal nonlinea income ax amewo k, his lowe ma ginal ax a ec s all axpaye s in he socie y. Howe e , he nume ical simula ions o e ed sugges ha his mechanism is o se by he dis ibu i e conce ns and in p ac ice he op imal ax a es o po e y minimiza ion appea high. Public good p o ision in he op imal ax amewo k unde po e y minimiza ion was shown o depend on he ela i e e iciency o public p o ision e sus income ans- e s in gene a ing po e y educ ions. One pa icula a enue whe e public p o ision is use ul is ia i s po en ially bene icial impac on indi iduals’ ea nings capaci y. Thus, public p o ision can be desi able e en i i s di ec wel a e e ec s we e non-exis en . Pe haps mo e impo an ly, po e y minimiza ion as an objec i e changes com- ple ely he condi ions unde which uni o m commodi y axa ion is op imal. When he go e nmen ’s objec i e is o minimize po e y ha depends on disposable income, uni o m commodi y axa ion is unlikely o be e e op imal: his is because he com- modi y ax changes ha e i s -o de e ec s on consume s’ budge ia he di ec impac on he cos o li ing, and his di ec e ec depends on he ela i e impo ance o di - e en goods in he o e all consump ion bundle. Sepa abili y in demand coupled wi h linea Engel cu es is no su icien o gua an ee op imali y o uni o m commodi y axes. In eali y, he adminis a i e di icul ies o implemen ing commodi y axa ion wi h many ax a es mus , o cou se, be aken in o accoun , as well. We also examined he implica ions o he p esence o an in o mal sec o o op imal ax and ans e policies. The esul s e ealed ha when he go e nmen is conce ned abou income po e y, he p esence o he in o mal sec o is, on he one hand, use ul, as i educes he po e y-inc easing e ec o highe axes bu , on he o he hand, i is also cos ly since i is likely o inc ease he elas ici y o he ax base. Examining he implica ions o in o mali y on he ole o o he ins umen s o go e nmen policies is an impo an a enue o u u e wo k. Ano he s and o ollow-up wo k should add ess he ques ion o complemen- a y policies o edis ibu ion, such as minimum wages. I should be bo ne in mind ha di e en policies impose di e en equi emen s on adminis a i e capaci y,17 and 17 Fo example, Lee and Saez (2012) show how a minimum wage policy can use ully complemen an op imal nonlinea income ax and ans e policy unde wel a is objec i es. Howe e , imposing minimum wage egula ion implies ha he go e nmen needs o be ei he able o obse e indi idual wage a es, o has su icien ins i u ional s eng h o ely on whis leblowe s o denounce non-complying employe s, in o de o en o ce he legisla ion. 123 Op imal axa ion and public p o ision o po e y educ ion 83 examining which po e y educ ion ins umen s become a ailable only as he socie ies ad ance on hei de elopmen pa h is an in e es ing a enue o u he wo k. Acknowledgemen s We a e g a e ul o wo anonymous e e ees and semina audiences a he UNU- WIDER Con e ence on ‘Inequali y: Measu emen , T ends, Impac s and Policies’, he Annual Mee ing o he Finnish Economic Associa ion, he HECER De elopmen Economics semina and he IIPF con e ence in Dublin o use ul commen s. This esea ch o igina es om he UNU-WIDER p ojec The economics and poli ics o axa ion and social p o ec ion. Funding om he Academy o Finland (G an No. 268082) is g a e ully acknowledged. Compliance wi h e hical s anda ds Con lic s o in e es The au ho s decla e ha hey ha e no con lic s o in e es . Open Access This a icle is dis ibu ed unde he e ms o he C ea i e Commons A ibu ion 4.0 In e na- ional License (h p://c ea i ecommons.o g/licenses/by/4.0/), which pe mi s un es ic ed use, dis ibu ion, and ep oduc ion in any medium, p o ided you gi e app op ia e c edi o he o iginal au ho (s) and he sou ce, p o ide a link o he C ea i e Commons license, and indica e i changes we e made. Appendix 1: Ma hema ical appendix Linea income axa ion Wel a ism Conside i s he wel a is case. Using λ o deno e he mul iplie associa ed wi h he budge cons ain , he go e nmen ’s Lag angian is L=WVi(a,b)+ λ(1−a)zi−Nb−R. The social ma ginal u ili y o income is βi=WVVi b. Using Roy’s heo em, Vi a=Vi bzi,weha eWVVi a=βizi. The i s -o de condi ions wi h espec o aand b, espec i ely, a e hen: βizi=λzi−(1−a)zi a(18) βi=λN−(1−a)zi b.(19) Di ide (18)by(19) o ge : βizi βi=zi−(1−a)zi a N−(1−a)zi b .(20) Deno e a e age income ¯z=zi Nand wel a e-weigh ed a e age income z(β) =βizi βi o ge : z(β) =¯z−(1−a)¯za 1−(1−a)¯zb .(21) Mul iply he go e nmen ’s e enue cons ain by 1 Nand de ine g=R N o ge (1− a)¯z−b=g, and o ally di e en ia e, keeping gcons an : 123 84 R. Kanbu e al. db da|gcons =¯z−(1−a)¯za −1+(1−a)¯zb =−z(β). (22) The ac ha z(β) =− db da|gcons ells us ha wel a e-weigh ed labo supply should be equal o he cons an - e enue e ec o ax a e changes in b. By o ally di e en ia ing a e age labo income ¯zand using (22), we ha e d¯z da|gcons =¯za+¯zb db da|gcons =¯za−¯zbz(β). (23) When we impose gas a cons an we ha e o gi e up one o ou deg ees o eedom. Now he in e p e a ion o d¯z da|gcons is hen he e ec on labo supply when ais changed, as is b, in o de o keep ax e enue cons an . Using (23) we can w i e (21): z(β) −¯z=−(1−a)d¯z da|gcons =−τd¯z(1−τ)¯z d(1−τ)(1−τ)¯z,(24) om which we ge he op imal ax a e o Eq. (1). We now de i e he esul s in he o m o he Pike y and Saez (2013) model. In hei model, he e is a con inuum o indi iduals, whose dis ibu ion is ν(i)(popula ion size is no malized o one). Indi iduals maximize hei u ili y ui((1−τ)zi+b,zi), and hei FOC implici ly de ines he Ma shallian ea nings unc ion zi u(1−τ,b). Using his, agg ega e ea nings a e Zu(1−τ,b). The go e nmen ’s budge cons ain b+R= τZu(1−τ,b)implici ly de ines bas a unc ion o τ, and consequen ly Zucan also be de ined solely as a unc ion o τ:Z(1−τ) =Zu(1−τ,b(τ)).Zhas elas ici y ε=1−τ Z dZ d(1−τ). To s a , no e ha i he go e nmen only ca ed abou maximizing ax e enue τZ(1−τ), i would se τsuch ha ∂(τZ(1−τ)) ∂τ =0: Z(1−τ)−τdZ d(1−τ) =0. Using τ Z dZ d(1−τ) =τ 1−τε, his gi es τ∗ 1−τ∗=1 ε ⇔τ∗=1 1+ε.(25) When he go e nmen is conce ned abou social wel a e, i s p oblem is o max SWF =ωiW(ui((1−τ)zi+τZ(1−τ)−R,zi)) dν(i), whe e use has been made o he indi idual consump ion ci=(1−τ)zi+b=(1−τ)zi+τZ(1−τ)−R. He e ωis a Pa e o weigh and Wis an inc easing and conca e ans o ma ion o u ili ies. The FOC ∂SWF ∂τ =0is: ωiWuui c−zi+(1−τ)∂zi ∂τ +Z+τdZ dτ+ui z ∂zi ∂τ dν(i)=0, which, using he indi idual’s en elope condi ion, becomes: ωiWuui c−zi+Z−τdZ d(1−τ)dν(i)=0. 123 Op imal axa ion and public p o ision o po e y educ ion 85 Taking Z−τdZ d(1−τ) ou o he in eg and and lea ing i o he le -hand side, we ha e on he igh -hand side ωiWuui czidν(i) ωiWuui cdν(i). Pike y and Saez de ine βi=ωiWuui c ωiWuui cdν(i) as a no malized social ma ginal wel a e weigh o indi idual i, so ha he e m can be simpli ied o: Z−τdZ d(1−τ) =βizidν(i). Using he de ini ion o agg ega e elas ici y o ea nings and de ining ¯ β=βizidν(i) Zas he a e age no malized social ma ginal wel a e weigh , weigh ed by labo incomes zi (i can also be in e p e ed as he a io o he a e age income weigh ed by indi idual wel a e weigh s βi o he a e age income Z), we can ew i e his as 1 −τ 1−τε=¯ β, which gi es he op imal social wel a e-maximizing ax a e: τ∗ 1−τ∗=1 ε1−¯ β.(26) Acco ding o Pike y and Saez, ¯ β“measu es whe e social wel a e weigh s a e concen- a ed on a e age o e he dis ibu ion o ea nings.” The wel a e-maximizing ax a e is hus dec easing in bo h he a e age ma ginal wel a e weigh and he ax elas ici y o agg ega e ea nings. A highe ¯ β e lec s a lowe as e o edis ibu ion, and hus a lowe desi e o ax o edis ibu i e easons. Pike y and Saez also no e ha (26) can be w i en in he o m o τ∗=−co βi,zi Z −co βi,zi Z+ε. I highe incomes a e alued less (lowe β), hen he co a iances a e nega i e and he ax a e is posi i e. This is a simila o mula ion as in Dixi and Sandmo (1977), Eq. (20), whe e τ∗=− 1 λ −co zi,μi ∂¯z ∂(1−τ)|comp. (he e λ ep esen s he go e nmen ’s budge cons ain Lag ange mul iplie and μi he indi idual’s ma ginal u ili y o income, s. . uc=μi). He e he nume a o e lec s he equi y elemen and he denomina o he e iciency componen , simila as in (26). Non-wel a ism In he non-wel a is case, he Lag angian unc ion is L=Fazi+b,zi+λ((1− a)zi−Nb−R). The i s -o de condi ions wi h espec o aand ba e: Fc(zi+azi a)+Fzzi a=λzi−(1−a)zi a(27) Fc(1+azi b)+Fzzi b=λN−(1−a)zi b.(28) 123 86 R. Kanbu e al. Di iding he i s equa ion wi h he second and di iding h ough he igh -hand side wi h N, we ge : Fc(zi+azi a)+Fzzi a Fc(1+azi b)+Fzzi b=¯z−(1−a)¯za 1−(1−a)¯zb ,(29) which gi es Eq. (3). Minimizing a dep i a ion index Dis a special case o his, such ha Fc=Dcand Fz=0. O he wise he de i a ion o (5) is analogous o he abo e. Le us nex de i e he po e y-minimizing ax ule ollowing he o mula ion o Pike y and Saez. Gi en he go e nmen ’s ins umen s, consump ion is ci=(1− τ)zi+b=(1−τ)zi+τZ(1−τ)−R. The po e y minimiza ion objec i e in he con inuous case hus eads: min P=Dci,¯cdν(i) =D(1−τ)zi+τZ(1−τ)−R,¯cdν(i). (30) The op imal ax a e is ound om he go e nmen ’s FOC, ∂P ∂τ =0: Dc−zi+(1−τ)∂zi ∂τ +Z+τdZ dτdν(i)=0 ⇔Dc−zi−(1−τ) ∂zi ∂(1−τ) +Z−τdZ d(1−τ)dν(i)=0.(31) De ine a “no malized ma ginal dep i a ion weigh ” as βi=Dc Dcdν(j).Using his de ini ion, Z−τdZ d(1−τ)Dcdν(i)=Dczi+(1−τ) ∂zi ∂(1−τ)dν(i)can be w i en as: Z−τdZ d(1−τ) =βizi+(1−τ) ∂zi ∂(1−τ)dν(i). (32) Using he de ini ion o he elas ici y o indi idual labo ea nings εi=1−τ zi ∂zi ∂(1−τ),we ha e (1−τ) ∂zi ∂(1−τ) =ziεiand using elas ici y o agg ega e ea nings ε=1−τ Z dZ d(1−τ), we ha e Z−τdZ d(1−τ) =1−τ 1−τεand we can ew i e he abo e as: Z1−τ 1−τε=βizi+ziεidν(i). (33) This leads o he po e y-minimizing ule o τ∗ 1−τ∗=1 ε1−¯ β−¯ βε,(34) 123 Op imal axa ion and public p o ision o po e y educ ion 87 whe e analogously o Pike y–Saez, ¯ β=βizidν(i) Z=Dczidν(i) ZDcdν(j)is an a e age no malized dep i a ion weigh , weigh ed by labo incomes (o , analogously, a e age labo income weigh ed by indi idual dep i a ion weigh s). In addi ion, we ha e de ined ¯ βε=βiziεidν(i) Z=Dcziεidν(i) ZDcdν(j), which desc ibes a e age labo incomes weigh ed by hei co esponding indi idual elas ici ies and dep i a ion weigh s. This can be in e p e ed as a combined dep i a ion and e iciency e ec . As in he wel a is se ing, he mo e elas ic a e age ea nings a e o axa ion, he lowe is he op imal ax a e (a egula e iciency e ec ). The op imal po e y-minimizing ax a e is dec easing in he a e age dep i a ion weigh ¯ β, as a highe as e o edis- ibu ion owa d he ma e ially dep i ed implies a lowe ¯ βand hus highe axa ion o edis ibu i e pu poses. The e ec is analogous o he wel a is ax a e, o cou se wi h sligh ly di e en de ini ions o ¯ β. The new e m ¯ βεcan be in e p e ed as a combined dep i a ion weigh and e iciency e ec . The elas ici y e m implici in ¯ βε akes in o accoun he incen i e e ec s o axa ion on wo king and wo ks o educe τ∗. To a oid discou aging he poo om wo king, hei ax a es should be lowe . Bu because he ax ins umen is o ced o be linea , ax a es a e hen lowe ed o e e yone, as we ound in he Tuomala model in Eq. (5). The alue o ¯ βεdepends on he ela ionship o he indi idual ea nings elas ici ies and income: i he elas ici y is he same ac oss income le els, he e is jus a le el e ec mo ing om ¯ β o ¯ βε; howe e , i he elas ici y we e highe o mo e dep i ed indi iduals, o example, ¯ βεwould mos likely be highe han unde a la elas ici y. This wo ks owa d a lowe ax a e in o de o a oid discou aging he poo es om wo king. Howe e , whe he ¯ βεis high o low does no depend only on he shape o he elas ici y bu also on he shape o he dep i a ion weigh s, which also a ec ¯ β. Finally, he hi d way o exp essing he op imal ax ule in he case o po e y minimiza ion is one ollowing he Dixi and Sandmo (1977) o mula ion and i can be w i en as τ∗=−1 λ co Dc,zi+1 NDca˜zi a+co Dcazi b,zi 1 N˜zi a .(35) In his exp ession, he denomina o is he same as in Eq. (20) o Dixi and Sandmo (1977) p esen ed be o e, ha is, he a e age de i a i e o compensa ed labo supply wi h espec o he ne -o - ax a e. In he nume a o , he i s e m measu es he s eng h o he associa ion be ween income and po e y impac : when he associa ion be ween o e all po e y and small income is s ong ( his would be he case wi h he squa ed po e y gap), he ax should be high so ha i will inance a sizable lump-sum ans e . I he associa ion is weake (as wi h he headcoun a e), he ax a e is op imally smalle . The second and he hi d e ms in he nume a o a e new. They measu e he indi ec e ec s om changes in he ax a e on labo supply. He e ˜zis he compensa ed (Hicksian) labo supply. The g ea e is he educ ion in he labo supply ollowing an inc ease in he ax a e (i is he compensa ed change as he ax inc ease is linked wi h a simul aneous inc ease in he lump-sum ans e ), he smalle should he ax a e be in o de o a oid inc eases in dep i a ion a ising om lowe ea ned income. The las wo e ms in he nume a o a e closely linked wi h a o mula ion Dc(1−τ)∂z ∂q|comp, 123 88 R. Kanbu e al. whe e he idea is ha he las co a iance e m se es as a co ec i e de ice o he mean impac o axes on labo supply (simila ly as in he denomina o in he o iginal Dixi –Sandmo o mula ion). Public good p o ision Wel a ism The Lag angian is L=WVi(a,b,G)+λ(1−a)zi−Nb−NπG−R. Maximizing he Lag angian wi h espec o band Ggi es: βi=λN−(1−a)zi b(36) WVVi G=λNπ−(1−a)zi G.(37) Di iding (37)by(36) we ob ain βiσi βi=π−(1−a)¯zG 1−(1−a)¯zb ,(38) whe e we de ine σ∗=βiσi βi o be he wel a e-weigh ed a e age ma ginal a e o subs i u ion be ween public good and income o indi idual i. Rew i ing his ule gi es Eq. (6) in he main ex . Ex ending he Pike y and Saez app oach o include public p o ision, he go e n- men ’s goal unc ion is SWF =ωiWui(1−τ)zi+τZ((1−τ),G)−R−πG,G,zidν(i). The FOC o τis as be o e, and he FOC o public good p o ision Gis ωiWuui G+ui x(1−τ)∂zi ∂G+τdZ dG−πdν(i)=0, which p oduces he ollowing public good p o ision ule: ωiWuui G+ui x(1−τ)∂zi ∂Gdν(i) ωiWuui xdν(i)=π−τdZ dG.(39) The le -hand side ela es he wel a e gains o public good p o ision (a di ec (uG) and indi ec e ec (ux(1−τ)∂zi ∂G ia labo supply eac ions)) o he wel a e gains o di ec ly inc easing consump ion (cash ans e s) and he igh -hand side ela es he 123 Op imal axa ion and public p o ision o po e y educ ion 95 βi=Dc ¯c 0Dcdν(i) = −α ¯c¯c−ci ¯cα−1 ¯c 0−α ¯c¯c−ci ¯cα−1 dν(i) =¯c−ci ¯cα−1 ¯c 0¯c−ci ¯cα−1 dν(i) and consequen ly ¯ β=¯c 0βizidν(i) Zand ¯ βε=¯c 0βiziεidν(i) Z, as be o e. E e y hing else s ays exac ly he same as in he calcula ions o Appendix 1. Also in he case o Tuomala’s and Dixi and Sandmo’s models, he esul s s ay he same, and we can plug in he explici de ini ion o Dc, he de i a i e o he po e y measu e wi h espec o disposable income, in o he esul s. Po e y measu emen in he con ex o public good p o ision Employing he FGT po e y measu e in he con ex o public good p o ision o po e y educ ion is mo e complica ed han in he case o jus disposable income. In Sec . 3.2 he go e nmen ’s objec i e unc ion was de ined as min P= Dxi,G,¯x,¯ Gdν(i), ha is, dep i a ion was measu ed bo h as dep i a ion in p i- a e consump ion (i.e., disposable income) as well as wi h espec o he public good. Bu he FGT index is a uni-dimensional measu e, measu ing dep i a ion wi h espec o one dimension only (e.g., disposable income). I one wan s o conside publicly o e ed goods such as educa ion as sepa a e om p i a e consump ion, a mul idi- mensional FGT measu e is needed. Mul idimensionali y, howe e , en ails a di icul ques ion o de e mining when a pe son should be de e mined as dep i ed. The e a e se e al app oaches o mul idimensionali y o FGT- ype po e y mea- su es.19 Fo example, Besley and Kanbu (1988), who conside he po e y impac s o ood subsidies, employ he uni-dimensional FGT measu e bu de ine dep i a ion in e ms o equi alen income: Pα=z 0zE−yE zEα (y)d(y), whe e yEis equi a- len income, de ined implici ly om V(p,yE)=V(q,y), and zEis he po e y line co esponding o equi alen income. Bu gi en ou aim o de ining op imal policy in e ms o po e y educ ion, i espec i e o indi idual wel a e, he use o equi alen income is p oblema ic as i o ces he solu ion o be such ha , by de ini ion, indi idu- als a e kep as well o as be o e. Pi ilä and Tuomala (2004) employ shadow p ices in a po e y-minimizing con ex o allow o se e al goods in he po e y measu e. Fo hem, dep i a ion is measu ed as D(z,y(q,w )) whe e zh=sxx∗−sh LL∗and yh(q,wh)=sxx(q,wh)−sh LL(q,wh). This app oach equi es de e mining shadow p ices sx,sL o consump ion and leisu e in o de o cons uc a e e ence bundle espec i e o which dep i a ion can be measu ed, bu he e is no clea guideline o he choice o he shadow p ices. The app oach in Bou guignon and Chak a a y (2003) is mo e sui able o ou pu poses. They p o ide a mul idimensional ex ension o he FGT measu e, acco ding o which a pe son is poo i she is dep i ed in a leas one dimension. A simple example o such an ex ension o he FGT is 19 See Fos e e al. (2010, pp. 504–5) o a b ie o e iew o mul idimensional FGT ex ensions ha allow he inclusion o dimensions such as heal h, educa ion, and nu i ion in addi ion o o he consump ion. 123 96 R. Kanbu e al. Pθ=1 n m  j=1 i∈Sj ajzj−xij zjθj , whe e θjand aja e weigh s gi en o dimension j, and Sjis he g oup o people who a e poo in dimension j.Alki e and Fos e (2011) o hei pa p o- ide a simila measu e which uses a weigh ed coun o dimensions in which he pe son is dep i ed o de e mine whe he she is poo . An aspec o his is also whe he he goods unde conside a ion a e complemen s o subs i u es. Following he Bou guignon–Chak a a y app oach and de ining xi1=xias p i a e consump- ion, z1=¯x,xi2=Gas he amoun o public good, and z2=¯ Gwould gi e us Pθ=1 ni∈Sja1¯x−xi ¯xθ1+a2¯ G−G ¯ Gθ2. Using his measu e, Dx= −θ1a1 ¯x¯x−xi ¯xθ1−1 and DG=− θ2a2 ¯ G¯ G−G ¯ Gθ2−1 . These can hen be inse ed o he public p o ision ules. Fo example, (9) becomes θ2a2 ¯ G¯ G−G ¯ Gθ2−1+θ1a1 ¯x¯x−xi ¯xθ1−1 (1−τ)∂zi ∂Gdν(i) θ1a1 ¯x¯x−xi ¯xθ1−1 dν(i) =p−τdZ dG and (40) becomes θ2a2 ¯ G¯ G−G ¯ Gθ2−1+θ1a1 ¯x¯x−xi ¯xθ1−1 azi G θ1a1 ¯x¯x−xi ¯xθ1−11+azi b =p−(1−a)zi G 1−(1−a)zi b , om whe e i can be seen ha he ela i e e iciency o he public good e sus cash ans e s on educing po e y can be di ec ly aced back o he magni udes o θ1and θ2. Po e y measu emen in he con ex o commodi y axa ion In he case o commodi y axes, we un in o he same issues ega ding dep i a ion measu emen as wi h public goods. Howe e , in Sec . 4.2 dep i a ion was measu ed only in e ms o disposable income, c. We hus escape he mul idimensionali y issue and employing he FGT po e y measu e is hus as simple as in he linea income ax case: we simply need o de ine D=Pαand hus Dc=− α ¯c¯c−ci ¯cα−1 in Eq. (15). Po en ially he go e nmen migh also conside weigh ing di e en goods acco ding o hei impo ance o measu ed po e y. 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