Literature DB >> 27843117

Height and cognition at work: Labor market productivity in a low income setting.

Daniel LaFave1, Duncan Thomas2.   

Abstract

Taller workers earn more, particularly in lower income settings. It has been argued that adult height is a marker of strength which is rewarded in the labor market; a proxy for cognitive performance or other dimensions of human capital such as school quality; a proxy for health status; and a proxy for family background and genetic characteristics. As a result, the argument goes, height is rewarded in the labor market because it is an informative signal of worker quality to an employer. It has also been argued that the height premium is driven by occupational and sectoral choice. This paper evaluates the relative importance of these potential mechanisms underlying the link between adult stature and labor market productivity in a specific low income setting, rural Central Java, Indonesia. Drawing on twelve waves of longitudinal survey data, we establish that height predicts hourly earnings after controlling education, multiple indicators of cognitive performance and physical health status, measures of family background, sectoral and occupational choice, as well as local area market characteristics. The height premium is large and significant in both the wage and self-employed sectors indicating height is not only a signal of worker quality to employers. Since adult stature is largely determined in the first few years of life, we conclude that exposures during this critical period have an enduring impact on labor market productivity.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cognition; Height; Labor markets; Productivity

Mesh:

Year:  2016        PMID: 27843117      PMCID: PMC5419881          DOI: 10.1016/j.ehb.2016.10.008

Source DB:  PubMed          Journal:  Econ Hum Biol        ISSN: 1570-677X            Impact factor:   2.184


  22 in total

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Journal:  Demography       Date:  2009-11
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  4 in total

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Journal:  Nutr Rev       Date:  2016-03       Impact factor: 7.110

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Authors:  Jun Wang; Qihui Chen; Gang Chen; Yingxiang Li; Guoshu Kong; Chen Zhu
Journal:  PLoS One       Date:  2020-04-10       Impact factor: 3.240

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4.  Economic costs of childhood stunting to the private sector in low- and middle-income countries.

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