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Designing Optimal Taxes with a Microeconometric Model of Labour Supply Evidence from Norway Rolf Aaberge, Statistics Norway and CHILD Ugo Colombino, Univ.

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Presentation on theme: "Designing Optimal Taxes with a Microeconometric Model of Labour Supply Evidence from Norway Rolf Aaberge, Statistics Norway and CHILD Ugo Colombino, Univ."— Presentation transcript:

1 Designing Optimal Taxes with a Microeconometric Model of Labour Supply Evidence from Norway Rolf Aaberge, Statistics Norway and CHILD Ugo Colombino, Univ. of Torino, Statistics Norway and CHILD IMA2007, 20-22 August, Vienna

2 Purpose Identify optimal (personal income) tax rules in Norway, using a structural microeconometric model

3 Traditional approach to empirical optimal taxation The typical exercise (e.g as surveyed by Tuomala): Take some optimal tax formula derived from theory Calibrate the parameters (preferences, distribution of characteristics, elasticities etc.) using previous empirical results Compute optimal taxes

4 Traditional approach in empirical optimal taxation Problem with this approach: theoretical results typically rely on some special assumptions; possible inconsistency between the assumptions of the theoretical model and the assumptions of the empirical analysis used to calibrate the parameters; difficult to include household decisions, participation decisions, quantity constraints.

5 A microeconometric - computational approach The approach adopted in this paper is different: we do not start from a priori theoretical results; we directly identify the optimal tax rule by running a microeconometric model of household labour supply that simulates household choices and utility for any tax rule; the simulation searches for the tax rule that maximizes a social welfare function subject to the constraint of a constant total tax revenue.

6 The microeconometric model It is (basically) a MNL model. Each individual (or household) is assumed to choose within an opportunity set containing jobs. Each job is a bundle of hours of work, net income (given a tax rule t) and unobserved characteristics e(j). The tax rule is a function t: Gross  Net. u(j;t) = V(j;t)e(j) = utility attained at job j, given tax rule t

7 The microeconometric model Under suitable assumptions upon the distribution (extreme value) of the unbserved characteristics, one gets: Prob(j is chosen) = V(j;t)/∑ i  B V(i;t)

8 The microeconometric model Main distinctive feature of the model with respect to other MNL models used in the labour supply literature: The job opportunity sets are different among individuals (we account for differing opportunities, differing quantity constraints etc.).

9 An example of the opportunity set in the (income, hours, e) space hours income 0 e Job J Job K

10 Estimation V(j;t) – function of income, leisure and demographic characteristics - is given a flexible parametric specification The 78 parameters are estimated by ML The dataset is based on the 1995 Norwegian Survey of Level of Living It contains 1842 couples, 309 single females and 312 single males Only individuals with age between 20 and 62 are included

11 Labour supply elasticities implied by the model Married couples

12 Simulating optimal tax rules STEP 1: Given a tax rule f, compute for each individual 1,…,N u = max j V(j;f)e(j) STEP 2: Compute the Social Welfare Function W(u 1,…,u N ). The arguments u of the Social Welfare function are made interpersonally comparable by using a common utility function STEP 3: Iterate (on the set of tax rules) STEPS 1-2 so as to maximize W keeping constant the total net tax revenue

13 Social Welfare Function In general we can write the SWF as: W = (∑ i u i /N)(1-I) = “Efficiency”  “Equality”. ∑ i u i /N = average utility (efficiency). I = index of inequality of the distribution of utility. In this exercise I is a rank-based index. It depends on the value of an inequality-aversion parameter. For different values of this parameter, one gets different special cases (Utilitarian, Gini, Bonferroni etc.). We also extend the above SWF to include a criterion of Equality of Opportunities (due to J. Roemer).

14 6-parameter piecewise linear tax rules The optimal tax rule is defined by 6 parameters: E = exemption level Z 1 = upper limit of first tax bracket Z 2 = upper limit of the second tax bracket t 1 = marginal rate of the first tax bracket t 2 = marginal rate of the second tax bracket t 3 = marginal rate of the third tax bracket It replaces the current 1994 rule, which is also piecewise linear, with seven income brackets and a smooth sequence of marginal rates (starting with.25 and ending up with.495) In this exercise, all transfers (social assistance, benefits etc.) are left unchanged. The top marginal tax rate is constrained to be less than or equal to.6

15 Net GrossZ1Z1 Z2Z2 E t1t1 t2t2 t3t3

16 Net GrossZ1Z1 Z2Z2 E t1t1 t2t2 t3t3

17 Net Gross Z1Z1 Z2Z2 t1t1 t2t2

18 Actual (1994) vs Optimal tax rules according to alternative social welfare criteria Actual (approx.) BonferroniGiniUtilitarian E17068 t1t1 0.25-0.350.170.200.22 Z1Z1 140172211264 t2t2 0.35-0.450.380.370.33 Z2Z2 235700690720 t3t3 0.500.60

19 Average tax rates Gross income (NOK)Actual (1994) ruleBONFERRONI-optimal rule 5000017.517.0 10000023.917.0 15000026.317.0 20000028.719.9 40000038.529.0 70000043.232.8 100000045.141.0

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22 Percentage change in labour supply when the BONFERRONI-optimal tax rule is applied Household Income Decile Single male Single female Married male Married female I89.565.936.347.8 II17.925.222.913.4 III - VIII2.83.04.24.6 IX0.0 1.5-0.2 X1.20.0-0.7-1.5 All7.06.16.47.8

23 Percentage of winners when the BONFERRONI-optimal tax rule is applied Household Income Decile Single male Single female Married male Married female I74 6263 II685570 III - VIII83697982 IX77428083 X773974 All79627678

24 Comments Similar to the current rule, optimal tax rules imply a sequence of increasing marginal tax rates However, optimal rules are more progressive on high income levels and less progressive on low and average income levels (somehow consistent with the pattern of labour supply elasticities) Optimal rules imply a higher net income for almost any level of gross income  lower average tax rate: thanks to a sufficiently large labour supply response

25 Comments Our results are partially at odds with the tax reforms that took place in many countries during the last decades. Those reforms, with the aim of improving efficiency and incentives, embodied the idea of lowering average tax rates by lowering the top marginal rates (OECD countries: from 67% to 47% in the period 1980-2000). Our results suggest instead to lower average tax rates by lowering marginal rates on average incomes and increasing marginal rates on very high incomes: this improves both efficiency and equality.

26 Work-in-progress Simulating tax rules with more parameters Including transfers (social policies, lump-sum benefits or taxes etc.) – Preliminary results suggest that the current level of transfers in Norway might be close to optimal tax reforms implemented in many developed countries during the last decades. In most cases those reforms embodied the idea of improving efficiency and labour supply incentives through a lower average tax rate and lower marginal tax rates on higher incomes. [1] Our optimal tax computations give support to the first part (lowering the average tax rate), much less to the second; on the contrary our results suggest that a lower average tax rate should be obtained by lowering the marginal tax rates particularly on low and average income brackets [2]. The optimal tax rules efficiently exploit the pattern of heterogeneous responses from different households.

27 References Aaberge, R.., J.K. Dagsvik and S. Strøm (1995): "Labor Supply Responses and Welfare Effects of Tax Reforms", Scandinavian Journal of Economics, 97, 4, 635-659. Aaberge, R., U. Colombino and S. Strøm (1999): “Labor Supply in Italy: An Empirical Analysis of Joint Household Decisions, with Taxes and Quantity Constraints”, Journal of Applied Econometrics, 14, 403-422. Aaberge, R., U. Colombino and S. Strøm (2000): “Labour supply responses and welfare effects from replacing current tax rules by a flat tax: empirical evidence from Italy, Norway and Sweden”, Journal of Population Economics, 13, 595-621. Aaberge, R., U. Colombino and S. Strøm (2004): "Do More Equal Slices Shrink the Cake? An Empirical Investigation of Tax-Transfer Reform Proposals in Italy“, Journal of Population Economics, 17 Aaberge, R. and U. Colombino (2006): “Designing Optimal Taxes with a Microeconometric Model of Household Labour Supply“, IZA DP 2468.


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