EconPapers    
Economics at your fingertips  
 

An Empirical Investigation of the Impact of Imperfect Information on Wages in Canada

Najma R. Sharif and Atul A. Dar

Review of Applied Economics, 2007, vol. 03, issue 01-2, 19

Abstract: Most studies of wage differentials explain such differentials in terms of factors like gender, race, and human capital. But systematic gaps in earnings can arise even among homogenous individuals as a result of asymmetric employer and worker information gaps, thereby reflecting labour market inefficiency. This paper estimates these gaps in terms of wage differentials across various population groups in Canada. We examine 21 populations groups, which include a number of immigrant groups as well. Information gaps are likely to be important in the context of immigrants, especially those new to Canadian labour markets. Our special interest is not only to compare information gaps of immigrant and other population groups, but also to assess whether (and how) immigrant information gaps depend upon the length of residence in Canada. The econometric model we employ is the two-tier stochastic earnings frontier, which is estimated using data from the 2001, 1996 and 1991 censuses.

Keywords: Labor; and; Human; Capital (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://ageconsearch.umn.edu/record/50162/files/9-Najma%20R%20Shariff.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:reapec:50162

DOI: 10.22004/ag.econ.50162

Access Statistics for this article

More articles in Review of Applied Economics from Lincoln University, Department of Financial and Business Systems Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-04-17
Handle: RePEc:ags:reapec:50162