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Discrimination based on employer preferences: The height premium in China

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Listed:
  • Peng, Fei
  • Kang, Lili
  • Yang, Xiaocong
  • Anwar, Sajid

Abstract

This paper examines the policy issue of height-based discrimination in China's labour market using a comprehensive nationwide survey dataset spanning from 1989 to 2015. Employing a theoretical framework that considers statistical discrimination resulting from employer preferences for cognitive and non-cognitive skills associated with productivity, the research investigates the impact of height on hourly wages. The empirical analysis reveals a height premium of approximately 5.97 % per ten-centimetre increase and identifies educational attainment as a factor explaining about one-third of this premium. Furthermore, the study finds that female employees with higher education levels experience greater height premiums. Interestingly, the height premium is smaller in the public sector, senior technical occupations, in regions with a collectivist culture that centres around traditional rice-growing practices, and during the earlier transition period (before 2000) when cognitive skills held more significance. These findings suggest the widespread occurrence of height-based statistical discrimination in China’s labour market and underscore the necessity for the policy interventions of health care and nutrition intake in early life and the later effective anti-discrimination regulations in labour market.

Suggested Citation

  • Peng, Fei & Kang, Lili & Yang, Xiaocong & Anwar, Sajid, 2025. "Discrimination based on employer preferences: The height premium in China," Journal of Policy Modeling, Elsevier, vol. 47(2), pages 276-297.
  • Handle: RePEc:eee:jpolmo:v:47:y:2025:i:2:p:276-297
    DOI: 10.1016/j.jpolmod.2024.10.002
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    as
    1. Yuyu Chen & Hongbin Li & Lingsheng Meng, 2013. "Prenatal Sex Selection and Missing Girls in China: Evidence from the Diffusion of Diagnostic Ultrasound," Journal of Human Resources, University of Wisconsin Press, vol. 48(1), pages 36-70.
    2. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender Wage Gap in China: A Large Meta-Analysis," CEI Research Paper Series 2020-5, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    3. repec:pri:rpdevs:case_paxson_cog_function_additional.pdf is not listed on IDEAS
    4. Hamermesh, Daniel S & Biddle, Jeff E, 1994. "Beauty and the Labor Market," American Economic Review, American Economic Association, vol. 84(5), pages 1174-1194, December.
    5. Joerg Baten & Matthias Blum, 2014. "Why are you tall while others are short? Agricultural production and other proximate determinants of global heights," European Review of Economic History, European Historical Economics Society, vol. 18(2), pages 144-165.
    6. Alícia Adserà & Francesca Dalla Pozza & Sergei Guriev & Lukas Kleine-Rueschkamp & Elena Nikolova, 2021. "Height and well-being during the transition from plan to market," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 36(105), pages 77-120.
    7. Thomas, Duncan & Strauss, John, 1997. "Health and wages: Evidence on men and women in urban Brazil," Journal of Econometrics, Elsevier, vol. 77(1), pages 159-185, March.
    8. Paul Schultz, T., 2003. "Wage rentals for reproducible human capital: evidence from Ghana and the Ivory Coast," Economics & Human Biology, Elsevier, vol. 1(3), pages 331-366, December.
    9. Daniel Hamermesh, 2012. "Tall or taller, pretty or prettier: is discrimination absolute or relative?," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-17, December.
    10. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54, pages 1-17.
    11. Thompson, Kristina & Portrait, France & Schoonmade, Linda, 2023. "The height premium: A systematic review and meta-analysis," Economics & Human Biology, Elsevier, vol. 50(C).
    12. Guido Heineck, 2005. "Up in the Skies? The Relationship between Body Height and Earnings in Germany," LABOUR, CEIS, vol. 19(3), pages 469-489, September.
    13. repec:iab:iabjlr:v:54:i::p:art.17 is not listed on IDEAS
    14. Anne Case & Christina Paxson, 2008. "Stature and Status: Height, Ability, and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 499-532, June.
    15. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    16. Anne Case & Christina Paxson, 2008. "Height, Health, and Cognitive Function at Older Ages," American Economic Review, American Economic Association, vol. 98(2), pages 463-467, May.
    17. repec:pri:rpdevs:case_paxson_cog_function_additional is not listed on IDEAS
    18. Oreffice, Sonia & Quintana-Domeque, Climent, 2016. "Beauty, body size and wages: Evidence from a unique data set," Economics & Human Biology, Elsevier, vol. 22(C), pages 24-34.
    19. Kean-Siang Ch’ng & Suresh Narayanan, 2023. "The effect of gender and creativity on beauty premium on hiring decisions in Malaysia: Do male and female hirers weigh them differently?," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 28(4), pages 1313-1326, October.
    20. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    21. Neilson, William & Ying, Shanshan, 2016. "From taste-based to statistical discrimination," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 116-128.
    22. repec:bla:obuest:v:62:y:2000:i:0:p:771-800 is not listed on IDEAS
    23. Lili Kang & Fei Peng, 2012. "A selection analysis of returns to education in China," Post-Communist Economies, Taylor & Francis Journals, vol. 24(4), pages 535-554, March.
    24. repec:pri:rpdevs:case_paxson_height_health_and_cognitive_function.pdf is not listed on IDEAS
    25. James J. Heckman, 2008. "Schools, Skills, And Synapses," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 289-324, July.
    26. Sushanta K. MALLICK & Ricardo M. SOUSA, 2017. "The skill premium effect of technological change: New evidence from United States manufacturing," International Labour Review, International Labour Organization, vol. 156(1), pages 113-131, March.
    27. Jun Wang & Qihui Chen & Gang Chen & Yingxiang Li & Guoshu Kong & Chen Zhu, 2020. "What is creating the height premium? New evidence from a Mendelian randomization analysis in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-20, April.
    28. Peng, Fei & Anwar, Sajid & Kang, Lili, 2022. "Number of siblings, access to treated water and returns to education in China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 526-538.
    29. Acemoglu, Daron & Aghion, Philippe & Violante, Giovanni L., 2001. "Deunionization, technical change and inequality," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 229-264, December.
    30. Lili Kang & Fei Peng, 2017. "Wage flexibility in the Chinese labour market, 1989–2009," Regional Studies, Taylor & Francis Journals, vol. 51(4), pages 616-628, April.
    31. 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.
    32. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    33. Joseph P. H. Fan & Qiankun Gu & Xin Yu, 2022. "Collectivist Cultures and the Emergence of Family Firms," Journal of Law and Economics, University of Chicago Press, vol. 65(S1), pages 293-325.
    34. repec:pri:cheawb:case_paxson_height_health_and_cognitive_function is not listed on IDEAS
    35. repec:pri:rpdevs:case_paxson_height_health_and_cognitive_function is not listed on IDEAS
    36. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    37. Björn Gustafsson & Shi Li, 2000. "Economic transformation and the gender earnings gap in urban China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 305-329.
    38. Nicola Persico & Andrew Postlewaite & Dan Silverman, 2004. "The Effect of Adolescent Experience on Labor Market Outcomes: The Case of Height," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 1019-1053, October.
    39. Nicola Persico & Andrew Postlewaite & Dan Silverman, 2001. "The Effect of Adolescent Experience on Labor Market Outcomes: The Case of Height, Third Version," PIER Working Paper Archive 04-013, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 15 Mar 2004.
    40. Jing Liu & Chunbing Xing & Yuhao Ge, 2020. "Does union membership reduce gender earnings differentials? Evidence from employer–employee matched data in China," Pacific Economic Review, Wiley Blackwell, vol. 25(1), pages 102-117, February.
    41. Zong, Xin-Nan & Li, Hui & Wu, Hua-Hong & Zhang, Ya-Qin, 2015. "Socioeconomic development and secular trend in height in China," Economics & Human Biology, Elsevier, vol. 19(C), pages 258-264.
    42. Hübler, Olaf, 2009. "The nonlinear link between height and wages in Germany, 1985-2004," Economics & Human Biology, Elsevier, vol. 7(2), pages 191-199, July.
    43. Rashad, Inas, 2008. "Height, health, and income in the US, 1984-2005," Economics & Human Biology, Elsevier, vol. 6(1), pages 108-126, March.
    44. Case, Anne & Paxson, Christina & Islam, Mahnaz, 2009. "Making sense of the labor market height premium: Evidence from the British Household Panel Survey," Economics Letters, Elsevier, vol. 102(3), pages 174-176, March.
    45. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    46. Ichiro Iwasaki & Xinxin Ma, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-19, December.
    47. Peng, Langchuan & Wang, Xi & Ying, Shanshan, 2020. "The heterogeneity of beauty premium in China: Evidence from CFPS," Economic Modelling, Elsevier, vol. 90(C), pages 386-396.
    48. Jeff Borland & Andrew Leigh, 2014. "Unpacking the Beauty Premium: What Channels Does It Operate Through, and Has It Changed Over Time?," The Economic Record, The Economic Society of Australia, vol. 90(288), pages 17-32, March.
    49. Bação, Pedro & Duarte, Joshua & Simões, Marta, 2024. "Social expenditure composition, inequality and growth in the OECD: Labour market policies are most effective," Journal of Policy Modeling, Elsevier, vol. 46(1), pages 75-89.
    50. Vu, Linh Hoang & Tran, Tuyen Quang, 2021. "Sibship composition, birth order and education: Evidence from Vietnam," International Journal of Educational Development, Elsevier, vol. 85(C).
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    Keywords

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    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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