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Statistical Discrimination, Productivity, and the Height of Immigrants

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  • Shing-Yi Wang

    (Shing-Yi Wang is an Assistant Professor in the Department of Business Economics and Public Policy at the Wharton School.)

Abstract

Building on the economic research that demonstrates a positive relationship between height and worker ability, the author compares wage returns to height for immigrants and for natives to explore possible explanations for the positive wage–height gradient. Using multiple data sets, the article presents a robust empirical finding that the wage gains associated with height are almost twice as large for immigrants as for native-born individuals. This wage relationship occurs because the productivity gap between tall and short immigrants is greater than the productivity gap between tall and short native-born workers. The author next tests for the possibility that in the relative absence of other sources of information about immigrants, employers place more importance on height for immigrants than for native-born individuals. The evidence does not support the hypothesis of statistical discrimination based on height.

Suggested Citation

  • Shing-Yi Wang, 2015. "Statistical Discrimination, Productivity, and the Height of Immigrants," ILR Review, Cornell University, ILR School, vol. 68(3), pages 529-557, May.
  • Handle: RePEc:sae:ilrrev:v:68:y:2015:i:3:p:529-557
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    3. Mark E. McGovern & Aditi Krishna & Victor M. Aguayo & S.V. Subramanian, 2017. "A Review of the Evidence Linking Child Stunting to Economic Outcomes," CHaRMS Working Papers 17-03, Centre for HeAlth Research at the Management School (CHaRMS).
    4. Marco Pecoraro & Massimiliano Tani, 2023. "Does Certifying Foreign Qualifications Lead to Better Immigrant Skills Utilization?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 170(1), pages 291-322, November.
    5. Thompson, Kristina & Portrait, France & Schoonmade, Linda, 2023. "The height premium: A systematic review and meta-analysis," Economics & Human Biology, Elsevier, vol. 50(C).

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