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Exploring skill distribution tails through stochastic dominance

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  • Petra Besenhard

Abstract

Location choices of differently skilled workers are analyzed in previous work on labor mobility, which proposes a model that suggests thicker tails in the skill distributions of large cities. This paper replicates the empirical findings of this work by using quantile regression and density plots as employed in the existing study, while also suggesting an alternative testing method for thick tails in the form of an initial stochastic dominance test. The test reveals clear evidence of a thicker lower tail, but the results are less clear for the upper tail, which raises some questions on how to best handle extreme upper tails of skill distributions.

Suggested Citation

  • Petra Besenhard, 2024. "Exploring skill distribution tails through stochastic dominance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 714-720, June.
    • Handle: RePEc:wly:japmet:v:39:y:2024:i:4:p:714-720
    DOI: 10.1002/jae.3043
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    References listed on IDEAS

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    1. Jan Eeckhout, 2004. "Gibrat's Law for (All) Cities," American Economic Review, American Economic Association, vol. 94(5), pages 1429-1451, December.
    2. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
    3. Christopher J. Bennett & Ričardas Zitikis, 2013. "Examining the Distributional Effects of Military Service on Earnings: A Test of Initial Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 1-15, January.
    4. Morris A. Davis & Francois Ortalo-Magne, 2011. "Household Expenditures, Wages, Rents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 248-261, April.
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