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On the political economy of the informal sector and income redistribution

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Abstract

In this paper we analyze a general equilibrium model in which agents choose to be employed in formal or in the informal sector. The formal sector is taxed to provide income subsidies and the level of redistribution is determined endogenously through majority voting. The model is simulated to produce qualitative results and to illustrate the differences between economies with different distributional features. We show that a distortion in the democratic rule in favor of the rich reduces transfers while the size of the informal sector may remain at high levels. Despite a greater demand for redistribution in societies where the majority has few resources (skills), we find that political systems which work in favor of a rich minority will produce little redistribution. Our results call for pro-poor measures such as free training and education programs that should be offered to those who cannot afford it.

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Notes

  1. Using data from 79 countries, the regression analysis of the size of the informal sector and spending on welfare as percentage of GDP produces a significant negative correlation. See “Appendix”, Regression analysis, for details.

  2. In the literature, this is sometimes referred to as irregular sector.

  3. Here we adopt Thomas' ( 1992 ) terminology.

  4. A standard Cobb–Douglas or a constant elasticity of substitution utility lead to same qualitative results because of the nature of the optimization problem. We avoid using complex utility functions to keep the model simple and to avoid additional parametrization problems when simulating the informal economy.

  5. This situation arises when \( (1 - a)\bar{w} > as \). Informal wage is appreciated more than the subsidy and the informal sector appears as a better alternative to non-work for individuals with \( \varepsilon < \varepsilon^{ * } \).

  6. The equilibrium, in which everybody would prefer not to work, is not sustainable because there will be no income generated.

  7. For the analytical exercise in endogenizing tax rates see “Appendix”, Proof of Propositions in the text.

  8. Regarding the 'share of leisure' parameter a, we chose 0.64 for USA which is consistent with many calibration studies (see e.g. Kydland and Prescott 1982) and the empirical literature on time use (see, e.g. Juster and Stafford 1991). For Mexico and Turkey, we used 0.46, which is the value for the developing countries as reported by the World Bank. These figures imply that in the US, a worker spends about one third of his discretionary time working, whereas for a Mexican or a Turkish worker this ratio is about one half.

  9. These particular years are chosen out of convenience and avaliability.

  10. Of this data, women, those who are reported as retired, working in the military, in school, disabled, and 65 years of age or older are eliminated. Since the data does not account for the earning capabilities of the officially unemployed, the authors use a standard Heckman two-step procedure to obtain unbiased structural parameters of the model.

  11. Ahumada et al. (2007) argue that currency demand approach is flawed when the income elasticity of money demand is equal to one and provide a correction method in case the elasticity estimates deviate from one.

  12. Portes and Schauffler (1993), p. 42.

  13. For Turkey and US we do not have the estimates based on Ahumada et al. (2007)'s corrected methodology. Our current simulation results might compare to actual figures differently with the corrected estimates. Nevertheless, the qualitative analysis would remain unchanged.

References

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Acknowledgments

We thank Friedrich Schneider, Antonio Merlo and two anonymous referees for their valuable comments on an earlier draft. We are grateful to John Robert Stinespring and Michael Pickhardt for their useful suggestions. We also thank participants at Shadow 2009 conference in Munster, Germany. Hatipoglu acknowledges financial support by Bogazici University BAP Research Fund Nr: 06C103.

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Correspondence to Ozan Hatipoglu.

Appendix

Appendix

1.1 Regression analysis

We use Penn World Table 6.2 for GDP, IMF Government Finance Statistics Yearbook 2001 and 2003 for social security and welfare spending, and Schneider (2002) for data on informal sector size. We exclude the formerly communist countries from the sample set. We regress social welfare expenditures per capita on the informal sector size as a percentage of GDP using GDP per capita as the control variable. The coefficient of the informal sector size is −0.025 with a t-statistic of −2.60.

1.2 Proof of propositions in the text

Proof of Proposition 1 Assuming that t is exogenous, it is easy to see from (9) that an increase in taxes will correspond to an increase in ε*. In other words, the formal sector shrinks. To see how ε**, and therefore unemployment, is affected by an exogenous change in t, reconsider the formula for the leisure threshold.

$$ \varepsilon^{ * * } = {\tfrac{{at\bar{y}}}{(1 - a)(1 - t)G(K)}} $$

where \( \bar{y} = G(K)\int_{{{\tfrac{{\bar{w}}}{1 - t}}}}^{\infty } {h^{f} \varepsilon f\left( \varepsilon \right){\text{d}}\varepsilon } \) and \( h^{f} = (1 - a) - {\tfrac{as}{(1 - t)\varepsilon }} \) letting G(K) = 1 without loss of generality and rewriting ε**

$$ \varepsilon^{ * * } = {\tfrac{{at\int_{{{\tfrac{{\bar{w}}}{1 - t}}}}^{\infty } {\left[ {(1 - a) - {\tfrac{as}{(1 - t)\varepsilon }}} \right]\varepsilon f\left( \varepsilon \right){\text{d}}\varepsilon } }}{(1 - a)(1 - t)}} = {\tfrac{{at(1 - t)\int_{{{\tfrac{{\bar{w}}}{1 - t}}}}^{\infty } {(1 - a)\varepsilon f\left( \varepsilon \right){\text{d}}\varepsilon } - as\int_{{{\tfrac{{\bar{w}}}{1 - t}}}}^{\infty } {f\left( \varepsilon \right){\text{d}}\varepsilon } }}{{(1 - a)(1 - t)^{2} }}} $$

Since \( s = t\bar{y} \) and \( \bar{y} \) depends on s through (14), successive substitutions yield \( \varepsilon^{ * * } = {\tfrac{{at\int_{{{\tfrac{{\bar{w}}}{1 - t}}}}^{\infty } {(1 - a)\varepsilon f\left( \varepsilon \right){\text{d}}\varepsilon } }}{(1 - a)(1 - t)}}. \) The sign of the derivative \( {\tfrac{{\partial \varepsilon^{ * * } }}{\partial t}} > 0 \) if \( {\tfrac{{\partial \left( {at\int_{{{\tfrac{{\bar{w}}}{1 - t}}}}^{\infty } {(1 - a)\varepsilon f\left( \varepsilon \right){\text{d}}\varepsilon } } \right)}}{\partial t}} > 0 \) which can be shown by the application of the Leibniz rule. \( \square \)

Proof of Proposition 2 To show that individual post-tax income can be ordered monotonically along the productivity dimension consider the after tax income of formal worker. \( y_{\text{after}}^{f} = h^{f} w^{f} \varepsilon + as\quad \left( { 1 - t} \right)\left( { 1 - a} \right)G\left( K \right)\varepsilon \quad {\text{for}}\;\varepsilon > \varepsilon^{ * } \)

Taking the derivative yields

$$ {\tfrac{\partial y}{\partial \varepsilon }} = (1 - t)(1 - a)G(K) > 0,\quad \forall (s,t) $$

All the individuals who would prefer to work informal sector when taxed would get the informal post-tax income \( y_{\text{after}}^{i} = (1 - a)\bar{w}\varepsilon \) which is lower than their formal post-tax income but not lower than the existing informal post tax income therefore the monotonicity holds for all levels of productivity. Since individuals do not solve the problem of taxation and redistribution independently of each other, and informal wages are constant and lower than formal wages the choice of the tax rate is ordered by productivity, for all s and t.

Finally, we show that the subsidies are uniquely determined by the choice of tax rates. Plugging (14) back into the balanced budget equation in (13)

$$ s = t\int\limits_{{\varepsilon^{ * } }}^{\infty } {\left[ {\left( {1 - a} \right) - {\tfrac{as}{(1 - t)G(K)\varepsilon }}} \right]\varepsilon f(\varepsilon ){\text{d}}\varepsilon } $$

Rewrite the above equation as

$$ g(s(t)) = f(s(t),t) $$

Holding t fixed, \( {\tfrac{\partial f(s(t),t)}{\partial s}} < 0 \) and \( {\tfrac{\partial g(s(t))}{\partial s}} > 0 \) for all s and \( g(s(t)) < f(s(t),t) \) for s = 0. Suppose now that s is not increasing in t for all t. Suppose there exists t i and t j such that t i  < t j , \( g(s^{*} (t_{i} )) = f(s^{*} (t_{j} ),t_{j} ) \) and \( \left. {{\tfrac{\partial (s(t))}{\partial t}}} \right|_{{t = t_{i} }} > 0 \) and \( \left. {{\tfrac{\partial (s(t))}{\partial t}}} \right|_{{t = t_{j} }} < 0 \) but then \( \left. {{\tfrac{\partial g(s(t))}{\partial s}}} \right|_{{s = s^{ * } }} > 0 \) and \( \left. {{\tfrac{\partial f(s(t),t)}{\partial s}}} \right|_{{s = s^{ * } }} > 0 \) which is a contradiction. \( \square \)

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Hatipoglu, O., Ozbek, G. On the political economy of the informal sector and income redistribution. Eur J Law Econ 32, 69–87 (2011). https://doi.org/10.1007/s10657-010-9179-6

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