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The nonlinear link between height and wages in Germany, 1985-2004

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  • Hübler, Olaf

Abstract

Based on data of the German Socio-Economic Panel, this article investigates the relationship between height and wages by gender. Unlike previous investigations, which have been limited to an examination of linear effects, this one finds that height influences on wages are curvilinear, and more so for men than for women. More specifically, it finds that women who are shorter than average and men who are somewhat taller than average, but not among the tallest, enjoy significant wage advantages. Furthermore, using Blinder's decomposition to determine two components of wage differences, we find that these differences can be partitioned into an endowment component and unexplained influences (discrimination). There is a difference between the public and private sectors and between men and women as to the degree of the latter effect. This investigation supports the hypothesis that short and very tall men employed in the private sector are disadvantaged the most. The outcome for women is less robust than for men.

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Bibliographic Info

Article provided by Elsevier in its journal Economics & Human Biology.

Volume (Year): 7 (2009)
Issue (Month): 2 (July)
Pages: 191-199

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Handle: RePEc:eee:ehbiol:v:7:y:2009:i:2:p:191-199

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Web page: http://www.elsevier.com/locate/inca/622964

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Keywords: Height Wages Men Women Nonlinearity Discrimination Private and public sector Germany;

References

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Citations

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Cited by:
  1. Böckerman, Petri & Vainiomäki, Jari, 2013. "Stature and Life-Time Labor Market Outcomes: Accounting for Unobserved Differences," IZA Discussion Papers 7424, Institute for the Study of Labor (IZA).
  2. Price, Gregory N., 2013. "The allometry of metabolism and stature: Worker fatigue and height in the Tanzanian labor market," Economics & Human Biology, Elsevier, vol. 11(4), pages 515-521.
  3. Carrieri, Vincenzo & De Paola, Maria, 2012. "Height and subjective well-being in Italy," Economics & Human Biology, Elsevier, vol. 10(3), pages 289-298.
  4. Tao, Hung-Lin, 2014. "Height, weight, and entry earnings of female graduates in Taiwan," Economics & Human Biology, Elsevier, vol. 13(C), pages 85-98.
  5. Manfredini, Matteo & Breschi, Marco & Fornasin, Alessio & Seghieri, Chiara, 2013. "Height, socioeconomic status and marriage in Italy around 1900," Economics & Human Biology, Elsevier, vol. 11(4), pages 465-473.

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