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Nonparametric Estimation of Labor Supply and Demand Factors

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  • Tsunao Okumura

Abstract

This article derives sharp bounds on labor supply and demand shift variables within a nonparametric simultaneous equations model using only observations of the intersection of upward sloping supply curves and downward sloping demand curves. Furthermore, I demonstrate that these bounds tighten with the imposition of plausible assumptions on the distribution of the disturbance terms. Using Katz and Murphy's (1992) panel data on wages and labor inputs, I estimate these bounds and assess the supply and demand factors that determine changes within male--female wage differentials and the college wage premium.

Suggested Citation

  • Tsunao Okumura, 2011. "Nonparametric Estimation of Labor Supply and Demand Factors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 174-185, January.
    • Handle: RePEc:taf:jnlbes:v:29:y:2011:i:1:p:174-185
    DOI: 10.1198/jbes.2010.08068
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    References listed on IDEAS

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    1. Kevin M. Murphy & Finis Welch, 1992. "The Structure of Wages," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 285-326.
    2. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    3. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
    4. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
    5. Ivar Ekeland & James J. Heckman & Lars Nesheim, 2004. "Identification and Estimation of Hedonic Models," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 60-109, February.
    6. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, October.
    7. Richard Blundell & Amanda Gosling & Hidehiko Ichimura & Costas Meghir, 2007. "Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using Bounds," Econometrica, Econometric Society, vol. 75(2), pages 323-363, March.
    8. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555, Elsevier.
    9. Kevin M. Murphy & W. Craig Riddell & Paul M. Romer, 1998. "Wages, Skills, and Technology in the United States and Canada," NBER Working Papers 6638, National Bureau of Economic Research, Inc.
    10. Blau, Francine D & Kahn, Lawrence M, 1997. "Swimming Upstream: Trends in the Gender Wage Differential in 1980s," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 1-42, January.
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    12. Blau, Francine D. & Kahn, Lawrence M., 1999. "Institutions and laws in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 25, pages 1399-1461, Elsevier.
    13. Rosa L. Matzkin, 2008. "Identification in Nonparametric Simultaneous Equations Models," Econometrica, Econometric Society, vol. 76(5), pages 945-978, September.
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    15. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
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    Cited by:

    1. Tsunao Okumura & Emiko Usui, 2014. "Concave‐monotone treatment response and monotone treatment selection: With an application to the returns to schooling," Quantitative Economics, Econometric Society, vol. 5, pages 175-194, March.
    2. Santeramo, Fabio Gaetano, 2014. "On the Estimation of Supply and Demand Elasticities of Agricultural Commodites," MPRA Paper 56126, University Library of Munich, Germany.

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