Asymmetric labor supply

  • Eduardo Pontual Ribeiro
Part of the Studies in Empirical Economics book series (STUDEMP)


The estimation of labor supply elasticities has been an important issue in the economic literature. Yet all works have estimated conditional mean labor supply functions only. The objective of this paper is to obtain more information on labor supply, estimating a conditional quantile labor supply function. We use a sample of prime age urban males employees in Brazil. Two stage estimators are used as the net wage and nonlabor income are found to be endogenous to the model. Contrary to previous works using conditional mean estimators, it is found that labor supply elasticities vary significantly and asymmetrically across hours of work. While the income and wage elasticities at the standard work week are zero, for those working longer hours the elasticities are negative.

Key words

Labor Supply Quantile Regression Structural Models. 


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  1. Amadeo E, Camargo JM (1993) Labor legislation and institutional aspects of the Brazilian labor market. Labour 7: 55–64CrossRefGoogle Scholar
  2. Amemiya T (1982) Two stage least absolute deviations estimators. Econometrica 50: 689–711CrossRefGoogle Scholar
  3. Baer W (1995) The Brazilian Economy, 4th. Edition. Praeger, Westport, CTGoogle Scholar
  4. Blomquist S (1996) Estimation methods for male labor supply functions: how to take into account taxes. Journal of Econometrics 70: 383–405CrossRefGoogle Scholar
  5. Blundel R, MaCurdy T (1999) Labor Supply: a review of alternative approaches. In: Ashenfelter O, Card D (eds.) Handbook of Labor Economics, v. 3A. Elsevier, Amsterdam, pp. 1559–1695CrossRefGoogle Scholar
  6. Bound J et al. (1995) Problems with Instrumental Variables Estimation when the correlation between the instruments and the endogenous explanatory variable is weak. Journal of the American Statistical Association 90: 443–450Google Scholar
  7. Brasil, Ministério da Economia (1991) Manual de Ajuste do Imposto de Renda, ano base 1990. Receita Federal, BrasiliaGoogle Scholar
  8. Chen L-A (1988) Regression quantiles and trimmed least squares estimators for structural equations and non-linear regression models. Unpublished Ph.D. dissertation, U. of Illinois at Urbana-ChampaignGoogle Scholar
  9. Chen L-A, Portnoy S (1996) Two-Stage regression quantiles and two-stage trimmed least squares estimators for structural equation models. Communications in Statistics-Theory and Methods 25: 1005–1032CrossRefGoogle Scholar
  10. Davidson R, MacKinnon G (1993) Estimation and Inference in Econometrics. Oxford University Press, New YorkGoogle Scholar
  11. Greene W (1997) Econometric Analysis, 3rd.Edition. Prentice Hall, Upper Saddle River, NJ.Google Scholar
  12. Hausman J (1981) Labor Supply. In: Aaron H, Pechman J (eds.) How Taxes Affect Economic Activity. Brookings, Washington D.C., pp. 1–78Google Scholar
  13. Hausman J (1985) Taxes and Labor Supply. In: Auerbach AJ, Feldstein M (eds.), Handbook of Public Economics, vol I. North-Holland, Amsterdam, pp. 351–440Google Scholar
  14. Jatobá J (1994) A família brasileira na força de trabalho: um estudo de oferta de trabalho — 1978/ 88. Pesquisa e Planejamento Econômico 24: 1–34Google Scholar
  15. Killingsworth M (1983) Labor Supply. Cambridge University Press, New YorkCrossRefGoogle Scholar
  16. Koenker R (1994) Confidence intervals for regression quantiles. In: Mandl P, Huskova M (eds.), Asymptotic Statistics. Proceedings of the 5` h Prague ConferenceGoogle Scholar
  17. Koenker R, Bassett G (1978) Regression quantiles. Econometrica 46: 33–50CrossRefGoogle Scholar
  18. Maddala GS (1974) Some small sample evidence on tests of significance in simultaneous equations models. Econometrica 42: 841–851CrossRefGoogle Scholar
  19. Mata J, Machado J (1996) Firm start-up size: a conditional quantile approach. European Economic Review 40: 1305–1323CrossRefGoogle Scholar
  20. Moffitt R (1990) Special issue on taxation and labor supply in industrialized countries (ed.) Journal of Human Resources 25, vol. 3, SummerGoogle Scholar
  21. Mroz T (1987) The sensitivity of an empirical model of married women’s hours of work to economic and statistical assumptions. Econometrica 55: 765–799CrossRefGoogle Scholar
  22. Pencavel J (1986) Labor supply of men: a survey. In, Ashenfelter O, Layard R (eds.) Handbook of Labor Economics, v. 1. Elsevier, Amsterdam, pp. 1–109Google Scholar
  23. Powell J (1983) The asymptotic normality of two-stage least absolute deviations estimator. Econometrica 51: 1569–1575CrossRefGoogle Scholar
  24. Ribeiro EP (1996) The Effect of Personal Income Taxes on Labor Supply in Brazil: an application of quantile regression. Unpublished Ph.D. thesis, University of Illinois at Urbana-ChampaignGoogle Scholar
  25. Ribeiro EP (1998) Small sample evidence of regression quantile estimates for structural models: estimation and testing. Revista de Econometria/ Brazilian Review of Econometrics 18: 215–244Google Scholar
  26. Ribeiro EP, Leuthold JH (1999) Preference strucutures and the excess burden of income taxes in Brazil. Public Finance Review 27: 243–261CrossRefGoogle Scholar
  27. Rosen HS (1978) The measurement of excess burden with explicit utility functions. Journal of Political Economy 86: S121 — S135CrossRefGoogle Scholar
  28. Sacklen H (1995) Labor supply, income taxes and hours constraints in Sweden. Dept. of Economics Working Paper 95:2, University of UppsalaGoogle Scholar
  29. Shea J (1997) Instrument relevance in Multivariate Linear Models: a simple measure. Review of Economics and Statistics 79: 348–352CrossRefGoogle Scholar
  30. Triest R (1990) The effect of income taxation on labor supply in the United States. Journal of Human Resources 25: 491–516CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Eduardo Pontual Ribeiro
    • 1
  1. 1.PPGEUniversidade Federal do Rio Grande do Sul Av.Porto AlegreBrazil

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