Literature DB >> 20161317

Making sense of the labor market height premium: Evidence from the British Household Panel Survey.

Anne Case1, Christina Paxson, Mahnaz Islam.   

Abstract

We use data from the British Household Panel Survey to examine the labor market premium in height. Most of the premium is explained by higher average educational attainment and sorting into higher-status occupations and industries by those who are taller.

Entities:  

Year:  2009        PMID： 20161317      PMCID： PMC2678677          DOI： 10.1016/j.econlet.2008.12.011

Source DB:  PubMed          Journal:  Econ Lett        ISSN： 0165-1765


  1 in total

1.  Stature and status: Height, ability, and labor market outcomes.

Authors:  Anne Case; Christina Paxson
Journal:  J Polit Econ       Date:  2008
  1 in total
  7 in total

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

Authors:  Daniel LaFave; Duncan Thomas
Journal:  Econ Hum Biol       Date:  2016-11-05       Impact factor: 2.184

2.  Causes and consequences of early-life health.

Authors:  Anne Case; Christina Paxson
Journal:  Demography       Date:  2010

3.  The Long Reach of Childhood Health and Circumstance: Evidence from the Whitehall II Study.

Authors:  Anne Case; Christina Paxson
Journal:  Econ J (London)       Date:  2011-08

Review 4.  A review of the evidence linking child stunting to economic outcomes.

Authors:  Mark E McGovern; Aditi Krishna; Victor M Aguayo; S V Subramanian
Journal:  Int J Epidemiol       Date:  2017-08-01       Impact factor: 7.196

5.  Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data.

Authors:  Thomas A DiPrete; Casper A P Burik; Philipp D Koellinger
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-23       Impact factor: 11.205

6.  Health, Height, Height Shrinkage, and SES at Older Ages: Evidence from China.

Authors:  Wei Huang; Xiaoyan Lei; Geert Ridder; John Strauss; Yaohui Zhao
Journal:  Am Econ J Appl Econ       Date:  2013-04

7.  Height, socioeconomic and subjective well-being factors among U.S. women, ages 49-79.

Authors:  Grace Wyshak
Journal:  PLoS One       Date:  2014-06-04       Impact factor: 3.240
  7 in total

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