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MSc Public Economics 2011/12 darp.lse.ac.uk/ec426

10 October 2011. MSc Public Economics 2011/12 http://darp.lse.ac.uk/ec426. Equity, Social Welfare and Taxation Frank A. Cowell. Welfare and distributional analysis. We’ve seen welfare-economics basis for redistribution as a policy objective

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MSc Public Economics 2011/12 darp.lse.ac.uk/ec426

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  1. 10 October 2011 MSc Public Economics 2011/12 http://darp.lse.ac.uk/ec426 Equity, Social Welfare and Taxation Frank A. Cowell

  2. Welfare and distributional analysis • We’ve seen welfare-economics basis for redistribution as a policy objective • how to assess the impact and effectiveness of such policy? • need appropriate criteria for comparing distributions of income • issues of distributional analysis (Cowell 2008, 2011) • Distributional analysis covers broad class of economic problems • inequality • social welfare • poverty • Similar techniques • rankings • measures • Four basic components need to be clarified • “income” concept • “income receiving unit” concept • a distribution • method of assessment or comparison

  3. x j x k x i 1: “Irene and Janet” approach • A representation with 3 incomes • Income distributions with given total X • Feasible income distributions given X • Equal income distributions Janet's income xi + xj + xk = X ray of equality • particularly appropriate in approaches to the subject based primarily upon individualistic welfare criteria Karen's income 0 Irene's income

  4. F(x) 1 distribution function F(∙) F(x0) x 0 x0 2: The parade • Plot income against proportion of population x • Parade in ascending order of "income" / height • Related to familiar statistical concept "income" (height) • Pen (1971) • especially useful in cases where it is appropriate to adopt a parametric model of income distribution x0.8 x0.2 proportion of the population 1 0 0.2 0.8 q

  5. Equity, Social Welfare, Taxation Overview... Welfare axioms Rankings Basic principles of distributional comparisons Equity and social welfare Taxation and sacrifice

  6. Social-welfare functions • A standard approach to a method of assessment • Basic tool is a social welfare function (SWF) • Maps set of distributions into the real line • I.e. for each distribution we get one specific number • In Irene-Janet notation W = W(x1, x2,…,xn ) • Properties will depend on economic principles • Simple example of a SWF: • Total income in the economy W = Sixi • Perhaps not very interesting • Consider principles on whichSWF could be based

  7. The approach • There is no such thing as a “right” or “wrong” axiom • However axioms could be appropriate or inappropriate • Need some standard of “reasonableness” • For example, how do people view income distribution comparisons? • Use a simple framework to list some of the basic axioms • Assume a fixed population of size n • Assume that individual utility can be measured by x • Income normalised by equivalence scales • Rules out utility interdependence • Welfare is just a function of the vector x := (x1, x2,…,xn ) • Follow the approach of Amiel-Cowell (1999) Appendix A

  8. SWF axioms • Anonymity. Suppose x′ is a permutation of x. Then: W(x′) = W(x) • Population principle. W(x) W(y) W(x,x,…,x) W(y,y,…,y) • Decomposability. Suppose x' is formed by joining x with z and y' is formed by joining y with z. Then : W(x) W(y) W(x') W(y') • Monotonicity. W(x1,x2..., xi+,..., xn) >W(x1,x2,..., xi,..., xn) • Transfer principle. (Dalton 1920) Suppose xi< xj then for small : W(x1,x2..., xi+ ,..., xj ,..., xn) >W(x1,x2,..., xi,..., xn) • Scale invariance. W(x) W(y) W(lx) W(ly)

  9. Classes of SWFs (1) • Use axioms to characterise important classes of SWF • Anonymity and population principle imply we can write SWF in either Irene-Janet form or F form • most modern approaches use these assumptions • but may need to standardise for needs etc • Introduce decomposability and you get class of Additive SWFs W : • W(x) = Siu(xi) • or equivalently in F-form W(F) = òu(x) dF(x) • think of u(•) as social utility or social evaluation function • The class W is of great importance • But W excludes some well-known welfare criteria

  10. Classes of SWFs (2) • From Wwe get important subclasses • If we impose monotonicity we get • W1 ÌW: u(•) increasing • subclass where marginal social utility always positive • If we further impose the transfer principle we get • W2 ÌW1: u(•) increasing and concave • subclass where marginal social utility is positive and decreasing • We often need to use these special subclasses • Illustrate their properties with a simple example…

  11. Equity, Social Welfare, Taxation Overview... Welfare axioms Rankings Classes of SWF and distributional comparisons Equity and social welfare Taxation and sacrifice

  12. Ranking and dominance • Consider problem of comparing distributions • Introduce two simple concepts • first illustrate using the Irene-Janet representation • take income vectors x and y for a given n • First-order dominance: • y(1) > x(1), y(2) > x(2), y(3) > x(3) • Each ordered income in y larger than that in x • Second-order dominance: • y(1) > x(1), y(1)+y(2) > x(1)+x(2), y(1)+y(2) +…+ y(n) > x(1)+x(2) …+ x(n) • Each cumulated income sum in y larger than that in x • Weaker than first-order dominance • Need to generalise this a little • given anonymity, population principle can represent distributions in F-form • q: population proportion (0 ≤q≤ 1) • F(x): proportion of population with incomes ≤x • m(F): mean of distribution F

  13. 1st-Order approach • Basic tool is the quantile, expressed as Q(F; q) := inf {x | F(x) ³ q} = xq • “smallest income such that cumulative frequency is at least as great as q” • Use this to derive a number of intuitive concepts • interquartile range, decile-ratios, semi-decile ratios • graph of Q is Pen’s Parade • Also to characterise 1st-order (quantile) dominance: • “G quantile-dominates F”means: • for every q, Q(G;q) ³Q(F;q), • for some q, Q(G;q) > Q(F;q) • A fundamental result: • G quantile-dominates F iff W(G) > W(F) for all WÎW1 Illustrate using Parade:

  14. Parade and 1st-order dominance • Plot quantiles against proportion of population Q(.; q) • Parade for distribution F again • Parade for distribution G G • In this case G clearly quantile-dominates F • But (as often happens) what if it doesn’t? • Try second-order method F q 1 0

  15. 2nd-Order approach • Basic tool is the income cumulant, expressed as C(F; q) := ∫Q(F; q)x dF(x) • “The sum of incomes in the Parade, up to and including position q” • Use this to derive a number of intuitive concepts • the “shares” ranking, Gini coefficient • graph of C is the generalised Lorenz curve • Also to characterise the idea of 2nd-order (cumulant) dominance: • “G cumulant-dominates F”means: • for every q, C(G;q) ³C(F;q), • for some q, C(G;q) > C(F;q) • A fundamental result (Shorrocks 1983): • G cumulant-dominates F iff W(G) > W(F) for all WÎW2

  16. GLC and 2nd-order dominance • Plot cumulations against proportion of population C(.; q) • GLC for distribution F • GLC for distribution G m(G) • Intercept on vertical axis is at mean income m(F) C(G; . ) cumulative income C(F; . ) 0 q 1 0

  17. 2nd-Order approach (continued) • A useful tool: the share of the proportion q of distribution F is L(F;q) := C(F;q) / m(F) • “income cumulation at divided q by total income” • Yields Lorenz dominance, or the “shares” ranking: • “G Lorenz-dominates F”means: • for every q, L(G;q) ³L(F;q), • for some q, L(G;q) > L(F;q) • Another fundamental result (Atkinson 1970): • For given m, G Lorenz-dominates F iff W(G) > W(F) for all W Î W2 Illustrate using Lorenz curve:

  18. Lorenz curve and ranking • Plot shares against proportion of population 1 • Perfect equality • Lorenz curve for distribution F • Lorenz curve for distribution G 0.8 L(.; q) 0.6 • In this case G clearly Lorenz-dominates F • So F displays more inequality than G • But (as often happens) what if it doesn’t? • No clear statement about inequality (or welfare) is possible without further information L(G;.) proportion of income 0.4 L(F;.) 0.2 0 q 0 0.2 0.4 0.6 0.8 1 proportion of population

  19. Equity, Social Welfare, Taxation Overview... Welfare axioms Rankings Quantifying social values Equity and social welfare Taxation and sacrifice

  20. Equity and social welfare • So far we have just general principles • may lead to ambiguous results • need a tighter description of social-welfare? • Consider “reduced form” of social welfare • W = W (m, I) • m = m(F) is mean of distribution F • I = I(F) is inequality of distribution F • W embodies trade-off between objectives • I can be taken as an “equity” criterion • from same roots as SWF? • or independently determined? • Consider a “natural” definition of inequality

  21. 1 L(.; q) q 0 1 Gini coefficient • Redraw Lorenz diagram • A “natural” inequality measure…? • normalised area above Lorenz curve • can express this also in I-J terms • Also (equivalently) represented as normalised difference between income pairs: • In F-form: • In Irene-Janet terms: • Intuition is neat, but • inequality index is clearly arbitrary • can we find one based on welfare criteria?

  22. xj xi SWF and inequality • The Irene &Janet diagram • A given distribution • Distributions with same mean • Contours of the SWF • Construct an equal distribution E such that W(E) = W(F) • Equally-Distributed Equivalent income • Social waste from inequality • contour: x values such that W(x) = const • Curvature of contour indicates society’s willingness to tolerate “efficiency loss” in pursuit of greater equality • E • F do this for special case O m(F) x(F)

  23. An important family of SWF • Take the W2 subclass and impose scale invariance. • Get the family of SWFs where u is iso-elastic: x1 – e– 1 u(x) = ————— , e ³ 0 1 – e • has same form as CRRA utility function • Parameter e captures society’s inequality aversion. • Similar interpretation to individual risk aversion • See Atkinson (1970)

  24. Welfare-based inequality • From the concept of social waste Atkinson (1970) suggested an inequality measure: x(F) I(F) = 1 – —— m(F) • Atkinson further assumed • additive SWF, W(F) = òu(x) dF(x) • isoelastic u • So inequality takes the form • But what value of inequality aversion parameter e?

  25. Values: the issues • SWF is central to public policy making • Practical example in HM Treasury (2003) pp 93-94 • We need to focus on two questions… • First: do people care about distribution? • Experiments suggest they do – Carlsson et al (2005) • Do social and economic factors make a difference? • Second: What is the shape of u? (Cowell-Gardiner 2000) • Direct estimates of inequality aversion • Estimates of risk aversion as proxy for inequality aversion • Indirect estimates of risk aversion • Indirect estimates of inequality aversion from choices made by government

  26. Preferences, happiness and welfare? • Ebert, U. and Welsch, H. (2009) • Evaluate subjective well being as a function of personal and environmental data using W form • Examine which inequality index seems to fit preferences best • Alesina et al (2004) • Use data on happiness from social survey • Construct a model of the determinants of happiness • Use this to see if income inequality makes a difference • Seems to be a difference in priorities between US and Europe US Continental Europe Share of government in GDP 30% 45% Share of transfers in GDP 11% 18% • Do people in Europe care more about inequality?

  27. The Alesina et al model • Ordered logit model • “Happy” is categorical: “not too happy”, “fairly happy”, “very happy” • individual, state, time, group. • Macro variables include inflation, unemployment rate • Micro variables include personal characteristics • h, m are state, time dummies • Results • People declare lower happiness levels when inequality is high. • Strong negative effect of inequality on happiness of the European poor and leftists • No effects of inequality on happiness of US poor and left-wingers • Negative effect of inequality on happiness of US rich • No differences across the American right and the European right. • No differences between the American rich and the European rich

  28. Inequality aversion and Elasticity of MU Consistent inequality preferences? Preference reversals (Amiel et al 2008) What value for e? from happiness studies 1.0 to 1.5 (Layard et al 2008) related to extent of inequality in the country? (Lambert et al 2003) affected by way the question is put? (Pirttilä and Uusitalo 2010) Evidence on risk aversion is mixed direct survey evidence suggests estimated relative risk-aversion 3.8 to 4.3 (Barsky et al 1997) indirect evidence (from estimated life-cycle consumption model) suggests 0.4 to 1.4 (Blundell et al 1994) in each case depends on how well-off people are

  29. Equity, Social Welfare, Taxation Overview... Welfare axioms Rankings Does structure of taxation make sense in welfare terms? Equity and social welfare Taxation and sacrifice

  30. Another application of ranking • Tax and benefit system maps one distribution into another • c = y T(y) • y: pre-tax income c: post-tax income • Use ranking tools to assess the impact of this in welfare terms • Typically this uses one or other concept of Lorenz dominance • Linked to effective tax progression • T is progressive if c Lorenz-dominates y • see Jakobsson (1976) • What Lorenz ranking would we expect to apply to these 5 concepts? original income + cash benefits gross income - direct taxes disposable income - indirect taxes post-tax income + non-cash benefits final income

  31. Impact of Taxes and Benefits. UK 2006/7. Lorenz Curve • + cash benefits •  direct taxes •  indirect taxes • + noncash benefits • Big effect from benefits side • Modest impact of taxes • Direct and indirect taxes work in opposite directions

  32. Implied tax rates in Economic and Labour Market Review • Formerly Economic Trends. Taxes as proportion of gross income – see Jones, (2008)

  33. Tax-benefit example: implications • We might have guessed the outcome of example • In most countries: • income tax progressive • so are public expenditures • but indirect tax is regressive • so Lorenz-dominance is not surprising. • In many countries there is a move toward greater reliance on indirect taxation • political convenience? • administrative simplicity? • Structure of taxation should not be haphazard • How should the y→c mapping be determined?

  34. Tax Criteria • What broad principles should tax reflect? • “benefit received:” pay for benefits you get through public sector • “sacrifice:” some principle of equality applied across individuals • see Neill (2000)for a reconciliation of these two • The sacrifice approach • Reflect views on equity in society. • Analyse in terms of income distribution • Compare distribution of y with distribution of y  T? • Three types of question: • what’s a “fair” or “neutral” way to reduce incomes…? • when will a tax system induce L-dominance? • what is implication of imposing uniformity of sacrifice?

  35. Amiel-Cowell (1999) approach • The Irene &Janet diagram • Initial distribution xj • Possible directions for a “fair” tax Janet's income • 1 Scale-independent iso-inequality • 2 Translation-independent iso-inequality ray of equality • 3 “Intermediate” iso-inequality • 4 No iso-inequality direction • An iso-inequality path? • 1 Proportionate reductions are “fair” • 2 Absolute reductions are “fair” • 3 Affine reductions are “fair” • 4 Amiel-Cowell showed that individuals perceive inequality comparisons this way. • Based on Dalton (1920) conjecture xi 0 Irene's income

  36. Tax and the Lorenz curve • Assume a tax function T(∙) based on income • a person with income y, pays an amount T(y) • disposable income given byc := y  T(y) • Compare distribution of y with that of c • will c be more equally distributed than y? • will T(∙) produce more equally distributed c than T*(∙)? • if so under what conditions? • Define residual progression of T • [dc/dy][y/c] = [1 T(y)] /[1 y /T(y)] • Disposable income under T* L-dominates that under T* iff • residual progression of T is higher than that of T*… • …for all y • see Jakobsson (1976)

  37. A sacrifice approach • Suppose utility function U is continuous and increasing • Definition of absolute sacrifice: • (y, T) displays at least as much (absolute) sacrifice as (y*, T*)… • …if U(y) U(yT) ≥ U(y*) U(y*T*) • Equal absolute sacrifice is scale invariant iff y1 –e– 1 U(y) = ———— 1 –e • …or a linear transformation of this • (Young 1987) • Apply sacrifice criterion to actual tax schedules T(∙) • Young (1990) does this for US tax system • Consider a UK application

  38. Applying sacrifice approach • Assume simple form of social welfare function • social welfare defined in terms of income • drop distinction between U and u • Use the equal absolute sacrifice principle • u(y) u(y  T(y)) = const • If insist on scale invariance u is isoelastic • y1 –e [y  T(y)]1 –e = const • e is again inequality aversion • Differentiate and rearrange: • y–e[1 T(y)] [y  T(y)]–e = 0 • log[1 T(y)] = e log ([ y  T(y) / y]) • Estimate e from actual structure T(∙) • get implied inequality aversion • For income tax (1999/2000): e = 1.414 • For IT and NIC (1999/2000): e = 1.214 • see Cowell-Gardiner (2000)

  39. Conclusion • Axiomatisation of welfare needs just a few basic principles • anonymity • population principle • decomposability • monotonicity • principle of transfers • Basic framework of distributional analysis can be extended to related problems: • for example inequality and poverty… • …in second term • Ranking criteria can be used to provide broad judgments • These may be indecisive, so specific SWFs could be used • scale invariant? • perhaps a value for e of around 0.7 – 2 • Welfare criteria can be used to provide taxation principles

  40. References (1) • Alesina, A., Di Tella, R. and MacCulloch, R (2004) “Inequality and happiness: are Europeans and Americans different?”, Journal of Public Economics, 88, 2009-2042 • Amiel, Y. and Cowell, F.A. (1999)Thinking about Inequality, Cambridge University Press • Amiel, Y., Cowell, F.A., Davidovitz, L. and Polovin, A. (2008) “Preference reversals and the analysis of income distributions,” Social Choice and Welfare, 30, 305-330 • Atkinson, A. B. (1970) “On the Measurement of Inequality,” Journal of Economic Theory, 2, 244-263 • Barsky, R. B., Juster, F. T., Kimball, M. S. and Shapiro, M. D. (1997) “Preference parameters and behavioral heterogeneity : An Experimental Approach in the Health and Retirement Survey,” Quarterly Journal of Economics, 112, 537-579 • Blundell, R., Browning, M. andMeghir, C. (1994)“Consumer Demand and the Life-Cycle Allocation of Household Expenditures,” Review of Economic Studies, 61, 57-80 • Carlsson, F., Daruvala, D. and Johansson-Stenman, O. (2005) “Are people inequality averse or just risk averse?” Economica, 72, 375-396 • Cowell, F.A. (2008) “Inequality: measurement,” The New Palgrave, second edition • * Cowell, F.A. (2011)Measuring Inequality, Oxford University Press • Cowell, F. A. and Gardiner, K.A. (2000) “Welfare Weights”, OFT Economic Research Paper 202, Office of Fair Trading, Salisbury Square, London • Dalton, H. (1920) “Measurement of the inequality of incomes,” The Economic Journal, 30, 348-361

  41. References (2) • Ebert, U. and Welsch, H. (2009) “How Do Europeans Evaluate Income Distributions? An Assessment Based on Happiness Surveys,” Review of Income Wealth, 55, 803-819 • HM Treasury (2003)The Green Book: Appraisal and Evaluation in Central Government (and Technical Annex), TSO, London • Jakobsson, U. (1976) “On the measurement of the degree of progression,” Journal of Public Economics, 5, 161-168 • Jones, F. (2008) “The effects of taxes and benefits on household income, 2006/07,” Economic and Labour Market Review, 2, 37-47. • Lambert, P. J., Millimet, D. L. and Slottje, D. J. (2003) “Inequality aversion and the natural rate of subjective inequality,” Journal of Public Economics,87, 1061-1090. • Layard, P. R. G., Mayraz, G. and Nickell S. J. (2008) “The marginal utility of income,” Journal of Public Economics, 92, 1846-1857. • * Neill, J. R. (2000) “The benefit and sacrifice principles of taxation: A synthesis,” Social Choice and Welfare, 17, 117-124 • Pen, J. (1971) Income Distribution, Allen Lane, The Penguin Press, London • Pirttilä, J. and Uusitalo, R. (2010) “A ‘Leaky Bucket’ in the Real World: Estimating Inequality Aversion using Survey Data,” Economica, 77, 60–76 • Shorrocks, A. F. (1983) “Ranking Income Distributions,” Economica, 50, 3-17 • Young, H. P. (1987) “Progressive taxation and the equal sacrifice principle,” Journal of Public Economics, 32, 203-212. • Young, H. P. (1990) “Progressive taxation and equal sacrifice,” American Economic Review, 80, 253-266

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