Skip to main content
Log in

Estimating a hedonic earnings function with a nonparametric method

  • Published:
Empirical Economics Aims and scope Submit manuscript

Abstract

In this paper we apply the nonparametric approach of Bierens and Hartog (1988) to estimating and testing an earnings function which emphasizes the simultaneous impact of supply characteristics (like education) and demand characteristics (like job level). The data support this emphasis and point to significant non-linearities. In particular, job level comes out as an important variable.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bartik TJ (1987) The estimation of demand parameters in hedonic models. Journal of Political Economy 95:81–88

    Google Scholar 

  • Bierens HJ (1982) Consistent model specification tests. Journal of Econometrics 20:105–134

    Google Scholar 

  • Bierens HJ, Hartog J (1988) Non-linear regression with discrete explanatory variables, with an application to the earnings function. Journal of Econometrics 38:269–299

    Google Scholar 

  • C.B.S. (1979) Loonstructuuronderzoek 1979. Centraal Bureau voor de Statistiek, 's-Gravenhage

    Google Scholar 

  • C.B.S. (1980) Statistisch Zakboek 1980. Centraal Bureau voor de Statistiek, 's-Gravenhage

    Google Scholar 

  • Chung KL (1974) A course in probability theory. Academic Press, New York London

    Google Scholar 

  • Epple D (1987) Hedonic prices and implicit markets: estimating demand and supply functions for differentiated products. Journal of Political Economy 95:59–80

    Google Scholar 

  • Forsythe GF (1957) Generation and use of orthogonal polynomials for data-fitting with digital computer. J Soc Industr Appl Math 5:74–87

    Google Scholar 

  • Hartog J (1981) Personal income distribution: a multicapability theory. Martinus Nijhoff, Boston

    Google Scholar 

  • Hartog J (1985) Earnings functions: testing for the demand side. Economics Letters 19:281–285

    Google Scholar 

  • Hartog J (1986a) Earnings functions: beyond human capital. Applied Economics 18:1291–1310

    Google Scholar 

  • Hartog J (1986b) Allocation and the earnings function. Empirical Economics 11:97–110

    Google Scholar 

  • Rosen S (1974) Hedonic prices and implicit markets: produduct differentiation in pure competition, Journal of Political Economy 82:34–55

    Google Scholar 

  • Seber GAF (1977) Linear regression analysis. John Wiley, New York

    Google Scholar 

  • White H (1980) Using least squares to approximate unknown regression functions. International Economic Review 21:149–170

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

We gratefully acknowledge the comments of an anonymous referee.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hartog, J., Bierens, H.J. Estimating a hedonic earnings function with a nonparametric method. Empirical Economics 13, 267–294 (1988). https://doi.org/10.1007/BF01972452

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01972452

Keywords

Navigation