271
Views
21
CrossRef citations to date
0
Altmetric
Original Articles

Wage differential by disability status in an agrarian labour market in India

&
Pages 1393-1398 | Published online: 07 Oct 2009
 

Abstract

This article is the first to estimate the magnitude and determinants of a wage differential by disability status in the context of an agrarian labour market through a wage decomposition method. In rural Uttar Pradesh, India, we find evidence of an unexplained wage gap in favour of nondisabled men of 8% after controlling for selection bias into employment and using different reference groups for wage decomposition.

Acknowledgements

The funding support of Fordham University through a faculty research grant and the World Bank for the conduct of this study is gratefully acknowledged. The views expressed should not be attributed to the World Bank or any other organizations.

Notes

1 A review of these studies is in Baldwin and Johnson (Citation2005).

2 For instance, see Reddy and Chandrashekar (Citation1998) for a meta-analysis of the prevalence of mental impairments in India estimated at 5.8% and Dandona and Dandona (Citation2001) on the prevalence of blindness estimated at 1.3%.

3 Almost all household heads had negative attitudes on the employment of persons with mental disabilities. This information was thus, not used to construct the negative attitude variable.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.