Details
| Original language | English |
|---|---|
| Title of host publication | The Oxford Handbook of Economics and Human Biology |
| Publisher | Oxford University Press |
| Pages | 501-520 |
| Number of pages | 20 |
| ISBN (electronic) | 9780199389292 |
| Publication status | Published - 6 Aug 2015 |
Publication series
| Name | Oxford Handbooks |
|---|---|
| Publisher | Oxford University Press |
Abstract
This chapter discusses the relationship between height and wages under a theoretical and empirical perspective. Many channels explain why height and wage are positively correlated. A major strand is based on unobserved cognitive and physical abilities that are connected with height and that influence wages. Further indirect links are possible via schooling, health, and risk aversion. Finally, discrimination and satisfaction are possible potential causes that a statistical association is well-founded. Most empirical investigations only analyze a direct linear relationship and find a positive height premium roughly between less than 1% and 10% due to an increase of 10 cm in height. The applied methods can partially explain the differences. Measurement errors, unobserved heterogeneity, endogeneity, and nonlinearities are methodological problems that should be considered. Moreover, the height premium varies with the specification. The incorporation of nutrition, health, education, leadership, physical capacity, age, weight, and, especially, gender influence estimation results.
Keywords
- Abilities, Discrimination, Environment, Health, Height, Inheritance, Risk aversion, Satisfaction, Schooling, Wages
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)
- General Business,Management and Accounting
Cite this
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The Oxford Handbook of Economics and Human Biology. Oxford University Press, 2015. p. 501-520 (Oxford Handbooks).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Height and Wages
AU - Hübler, Olaf
PY - 2015/8/6
Y1 - 2015/8/6
N2 - This chapter discusses the relationship between height and wages under a theoretical and empirical perspective. Many channels explain why height and wage are positively correlated. A major strand is based on unobserved cognitive and physical abilities that are connected with height and that influence wages. Further indirect links are possible via schooling, health, and risk aversion. Finally, discrimination and satisfaction are possible potential causes that a statistical association is well-founded. Most empirical investigations only analyze a direct linear relationship and find a positive height premium roughly between less than 1% and 10% due to an increase of 10 cm in height. The applied methods can partially explain the differences. Measurement errors, unobserved heterogeneity, endogeneity, and nonlinearities are methodological problems that should be considered. Moreover, the height premium varies with the specification. The incorporation of nutrition, health, education, leadership, physical capacity, age, weight, and, especially, gender influence estimation results.
AB - This chapter discusses the relationship between height and wages under a theoretical and empirical perspective. Many channels explain why height and wage are positively correlated. A major strand is based on unobserved cognitive and physical abilities that are connected with height and that influence wages. Further indirect links are possible via schooling, health, and risk aversion. Finally, discrimination and satisfaction are possible potential causes that a statistical association is well-founded. Most empirical investigations only analyze a direct linear relationship and find a positive height premium roughly between less than 1% and 10% due to an increase of 10 cm in height. The applied methods can partially explain the differences. Measurement errors, unobserved heterogeneity, endogeneity, and nonlinearities are methodological problems that should be considered. Moreover, the height premium varies with the specification. The incorporation of nutrition, health, education, leadership, physical capacity, age, weight, and, especially, gender influence estimation results.
KW - Abilities
KW - Discrimination
KW - Environment
KW - Health
KW - Height
KW - Inheritance
KW - Risk aversion
KW - Satisfaction
KW - Schooling
KW - Wages
UR - http://www.scopus.com/inward/record.url?scp=85109408255&partnerID=8YFLogxK
U2 - 10.1093/oxfordhb/9780199389292.013.29
DO - 10.1093/oxfordhb/9780199389292.013.29
M3 - Contribution to book/anthology
AN - SCOPUS:85109408255
T3 - Oxford Handbooks
SP - 501
EP - 520
BT - The Oxford Handbook of Economics and Human Biology
PB - Oxford University Press
ER -