Skip to main content

How Fragile are Male Labor Supply Function Estimates?

  • Conference paper
Panel Data Analysis

Part of the book series: Studies in Empirical Economics ((STUDEMP))

  • 268 Accesses

Abstract

We estimate male wage and nonwage income effects using linear specifications spanning three techniques (ordinary least squares, fixed effects, and random effects), two wage measures (reported hourly wages and average hourly earnings), and sample stratification by pay scheme (salaried versus hourly paid). Our regressions encompass the one-period static and perfect-foresight life-cycle models. The static model implies exogenous random person-specific effects, a negative nonwage income coefficient, and a positive labor supply substitution effect. The life-cycle model implies endogenous individual-specific effects, a positive wage coefficient, and a zero nonwage income coefficient. Neither the one-period static nor the perfect-foresight life-cycle models are implied by the data for salaried workers while the static model is consistent with the data for hourly paid workers if income taxes are ignored.

We thank Anthony D. Hall, Peter Schmidt, Robin Sickles, Pravin K. Trivedi, Alan Woodland, Junsen Zhang, members of the Department of Economics Workshops at the University of Kentucky and Indiana University Purdue University Indianapolis, and three anonymous referees for valuable comments and Chris Ehlers and Jean Kimmel for help in computing and tabulating results. Dawn Teolis and Lynne Dennison did their usually fine typing of tables and references. Financial support from the University of New Hampshire, Durham and the Department of Statistics — The Faculties of the Australian National University is gratefully acknowledged.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Altonji JG, Paxson CH (1988) Labor supply preferences, hours constraints, and hours-wage tradeoffs. Journal of Labor Economics 6:254–276

    Article  Google Scholar 

  • Amemiya T, MaCurdy TE (1986) Instrumental-variable estimation of an error-components model. Econometrica 54:869–880

    Article  Google Scholar 

  • Blundell R, Meghir C (1986) Selection criteria for a microeconometric model of labor supply. Journal of Applied Econometrics 1:55–80

    Article  Google Scholar 

  • Borjas GJ (1980) The relationship between wages and weekly hours of work: the role of division bias. Journal of Human Resources 15:409–423

    Article  Google Scholar 

  • Borjas GJ, Heckman JJ (1978) Labor supply estimates for public policy evaluation. Proceedings of the Thirty-First Annual Meeting, Industrial Relations Research Association: 320–331

    Google Scholar 

  • Breusch T, Mizon GE, Schmidt P (1989) Efficient estimation using panel data. Econometrica 57:695–700

    Article  Google Scholar 

  • Conway KS, Kniesner TJ (1991) Estimating labor supply functions with panel data. Working paper, Department of Economics, Indiana University, Bloomington, October

    Google Scholar 

  • Cornwell C, Schmidt P, Wyhowski D (1989) Simultaneous equations and panel data. Working paper, Michigan State University

    Google Scholar 

  • DaVanzo J, DeTray D, Greenberg D (1973) Estimating labor supply response: a sensitivity analysis. The Rand Corporation: Report No. R-1372-OEO

    Google Scholar 

  • Godfrey LG (1988) Misspecification tests in econometrics. Cambridge University Press, New York

    Google Scholar 

  • Hausman JA (1978) Specification tests in econometrics. Econometrica 46:1251–1271

    Article  Google Scholar 

  • Hsiao C (1986) Analysis of panel data. Cambridge University Press, New York

    Google Scholar 

  • Jakubson G (1988) The sensitivity of labor-supply parameter estimates to unobserved individual effects: fixed and random-effects estimates in a non-linear model using panel data. Journal of Labor Economics 6:302–329

    Article  Google Scholar 

  • Kmenta J (1986) Elements of econometrics (2nd ed). Macmillan Publishing Co, New York

    Google Scholar 

  • Kosters M (1966) Income and substitution parameters in a family labor supply model. PhD dissertation, University of Chicago

    Google Scholar 

  • Learner EE (1983) Let’s take the con out of econometrics. American Economic Review 73:31–43

    Google Scholar 

  • Learner EE (1985) Sensitivity analyses would help. American Economic Review 75:308–313

    Google Scholar 

  • Leibowitz A (1979) Estimating the errors in hours of work and wage rates. The Rand Corporation: Report No. P6276

    Google Scholar 

  • MaCurdy TE (1981) An empirical model of labor supply in a life-cycle setting. Journal of Political Economy 89:1059–1085

    Article  Google Scholar 

  • MaCurdy T, Green D, Paarsch H (1990) Assessing empirical approaches for analyzing taxes and labor supply. Journal of Human Resources 25:415–490

    Article  Google Scholar 

  • Maddala GS (1987) Limited dependent variable models using panel data. Journal of Human Resources 22:305–338

    Article  Google Scholar 

  • Maeshiro A, Vali S (1988) Pitfalls in the estimation of a differenced model. Journal of Business and Economic Statistics 6:511–515

    Article  Google Scholar 

  • Moffitt R (1986) The econometrics of piecewise-linear budget constraints. Journal of Business and Economic Statistics 4:317–328

    Article  Google Scholar 

  • Moffit R (1990) The econometrics of kinked budget constraints. The Journal of Economic Perspectives 4:119–140

    Google Scholar 

  • Mroz TA (1987) The sensitivity of an empirical model of married women’s hours of work to economic and statistical assumptions. Econometrica 55:765–800

    Article  Google Scholar 

  • Pencavel J (1986) Labor supply of men: a survey. In: Ashenfelter O, Layard R (eds) Handbook of labor economics, North-Holland, Amsterdam

    Google Scholar 

  • Plosser CD, Schwert GW, White H (1982) Differencing as a test of specification. International Economic Review 23:535–552

    Article  Google Scholar 

  • Triest RK (1988) Monte Carlo evidence on the robustness of alternative estimators of labor supply functions under progressive taxation. Working paper, Department of Economics, University of California, Davis

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Physica-Verlag Heidelberg

About this paper

Cite this paper

Conway, K.S., Kniesner, T.J. (1992). How Fragile are Male Labor Supply Function Estimates?. In: Raj, B., Baltagi, B.H. (eds) Panel Data Analysis. Studies in Empirical Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-50127-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-50127-2_13

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-642-50129-6

  • Online ISBN: 978-3-642-50127-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics