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The Hausman-MaCurdy Controversy: Why Do the Results Differ across Studies?

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  • Matias Eklöf
  • Hans Sacklén

Abstract

The two perhaps most influential empirical labor supply studies carried out in the United States in recent years, Hausman (1981) and MaCurdy, Green, and Paarsch (1990), report sharply contradicting labor supply estimates. In this paper we show that the seemingly irreconcilable views on the size of work disincentive effects and welfare losses can be attributed to the use of differing nonlabor income and wage measures in the two studies. Monte Carlo experiments suggest that the wage measure adopted by MaCurdy, Green, and Paarsch (1990) might cause a severely downward biased wage effect such that data falsely refute the basic notion of utility maximization.

Suggested Citation

  • Matias Eklöf & Hans Sacklén, 2000. "The Hausman-MaCurdy Controversy: Why Do the Results Differ across Studies?," Journal of Human Resources, University of Wisconsin Press, vol. 35(1), pages 204-220.
    • Handle: RePEc:uwp:jhriss:v:35:y:2000:i:1:p:204-220
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    Cited by:

    1. Anil Kumar, 2016. "Lifecycle-consistent female labor supply with nonlinear taxes: evidence from unobserved effects panel data models with censoring, selection and endogeneity," Review of Economics of the Household, Springer, vol. 14(1), pages 207-229, March.
    2. Michael P. Keane, 2011. "Labor Supply and Taxes: A Survey," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 961-1075, December.
    3. Olivier Bargain & Kristian Orsini & Andreas Peichl, 2014. "Comparing Labor Supply Elasticities in Europe and the United States: New Results," Journal of Human Resources, University of Wisconsin Press, vol. 49(3), pages 723-838.
    4. Anil Kumar & Che-Yuan Liang, 2015. "Declining female labor supply elasticities in the U.S. and implications for tax policy: evidence from panel data," Working Papers 1501, Federal Reserve Bank of Dallas.
    5. Olivier Bargain & Kristian Orsini & Andreas Peichl, 2012. "Comparing Labor Supply Elasticities in Europe and the US: New Results," SOEPpapers on Multidisciplinary Panel Data Research 525, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Kelly Bishop & Bradley Heim & Kata Mihaly, 2009. "Single Women's Labor Supply Elasticities: Trends and Policy Implications," ILR Review, Cornell University, ILR School, vol. 63(1), pages 146-168, October.
    7. Soren Blomquist & Whitney K. Newey, 2017. "The bunching estimator cannot identify the taxable income elasticity," CeMMAP working papers CWP40/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Andrew Grodner & Thomas J. Kniesner, 2008. "Labor supply with social interactions: econometric estimates and their tax policy implications," Research in Labor Economics, in: Work, Earnings and Other Aspects of the Employment Relation, pages 1-23, Emerald Group Publishing Limited.
    9. Masayoshi Hayashi, 2021. "Transfer Benefits, Implicit Taxes, and the Earnings of Welfare Recipients: Evidence from Public Assistance Programs in Japan," CIRJE F-Series CIRJE-F-1164, CIRJE, Faculty of Economics, University of Tokyo.
    10. Sören Blomquist & Whitney K. Newey & Anil Kumar & Che-Yuan Liang, 2021. "On Bunching and Identification of the Taxable Income Elasticity," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2320-2343.
    11. Maximilian Joseph Blömer & Andreas Peichl, 2020. "The ifo Tax and Transfer Behavioral Microsimulation Model," ifo Working Paper Series 335, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

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