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Height, weight, and entry earnings of female graduates in Taiwan

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  • Tao, Hung-Lin

Abstract

Using a data set of Taiwanese female graduates in 2006, this study finds that height and earnings are positively correlated for full-time workers. However, it is not because tall individuals went to better colleges or received better grades (cognitive ability), not because they are gifted with superior physical strength or because they have participated in more extracurricular activities (non-cognitive ability), and not because they work in a highly paid occupation. We find that statistical discrimination (or perceptual bias) is most likely to play a role in determining the entry earnings of female graduates. In addition, we find that an estimator of the height premium for females is downward-biased if weight is omitted from the model.

Suggested Citation

  • Tao, Hung-Lin, 2014. "Height, weight, and entry earnings of female graduates in Taiwan," Economics & Human Biology, Elsevier, vol. 13(C), pages 85-98.
    • Handle: RePEc:eee:ehbiol:v:13:y:2014:i:c:p:85-98
    DOI: 10.1016/j.ehb.2013.12.006
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    Cited by:

    1. Cornelius A. Rietveld & Jolanda Hessels & Peter van der Zwan, 2014. "The Stature of the Self-employed and its Premium," Tinbergen Institute Discussion Papers 14-109/VII, Tinbergen Institute.
    2. Kim, Tae Hyun & Han, Euna, 2017. "Height premium for job performance," Economics & Human Biology, Elsevier, vol. 26(C), pages 13-20.
    3. Wroński, Marcin, 2023. "The full distribution of adult height in Poland: Cohorts born between 1920 and 1996. The biological cost of the economic transition," Economics & Human Biology, Elsevier, vol. 50(C).
    4. Yamamura, Eiji & Tsutsui, Yoshiro, 2017. "Comparing the role of the height of men and women in the marriage market," Economics & Human Biology, Elsevier, vol. 26(C), pages 42-50.
    5. Eiji Yamamura & Yoshiro Tsutsui, 2016. "Comparing the role of height between men and women in the marriage market," Discussion Papers in Economics and Business 16-20, Osaka University, Graduate School of Economics.
    6. Rietveld, Cornelius A. & Hessels, Jolanda & van der Zwan, Peter, 2015. "The stature of the self-employed and its relation with earnings and satisfaction," Economics & Human Biology, Elsevier, vol. 17(C), pages 59-74.
    7. Yamamura, Eiji & Smyth, Russell & Zhang, Yan, 2015. "Decomposing the effect of height on income in China: The role of market and political channels," Economics & Human Biology, Elsevier, vol. 19(C), pages 62-74.
    8. Eiji Yamamura & Yoshiro Tsutsui, 2017. "Gap of height and education within couple and its effect on conflict and evaluation about partners: psychological cost of division of labor within household," Discussion Papers in Economics and Business 17-35, Osaka University, Graduate School of Economics.
    9. Chu, Filmer & Ohinmaa, Arto, 2016. "The obesity penalty in the labor market using longitudinal Canadian data," Economics & Human Biology, Elsevier, vol. 23(C), pages 10-17.
    10. Böckerman, Petri & Viinikainen, Jutta & Vainiomäki, Jari & Hintsanen, Mirka & Pitkänen, Niina & Lehtimäki, Terho & Pehkonen, Jaakko & Rovio, Suvi & Raitakari, Olli, 2017. "Stature and long-term labor market outcomes: Evidence using Mendelian randomization," Economics & Human Biology, Elsevier, vol. 24(C), pages 18-29.
    11. Yang, Xiao & Gao, Jian & Liu, Jin-Hu & Zhou, Tao, 2018. "Height conditions salary expectations: Evidence from large-scale data in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 86-97.

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    More about this item

    Keywords

    Height; Weight; Statistical discrimination; Perceptual bias; Earnings;
    All these keywords.

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

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