Coping with Low Pay: Cognitive Dissonance and Persistent Disparate Earnings Profiles
Duncan Watson (),
Robert Webb and
Alvin Birdi
Theory and Decision, 2004, vol. 57, issue 4, 367-378
Abstract:
The paper focuses on an employee’s perception of his or her own labour market outcome. It proposes that the basic earnings function, by adopting an approach that ignores perception effects, is likely to result in biased results that will fail to understand the complexities of the wage distribution. The paper uses an orthodox job search framework to illustrate the nature of this problem and then adapts the model to take onboard the theory of cognitive dissonance. The search model indicates how workers may adopt a coping strategy in order to reduce the disutility associated with the wage underpayment that develops. Then, by modelling cognitive dissonance, the paper highlights the weaknesses of using purely human capital proxies to understand labour market outcome. The analysis goes some way to explaining why individuals with equivalent human capital investment can have disparate earnings profiles. Copyright Springer 2004
Keywords: Cognitive dissonance; Job search model; Wage differentials (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s11238-005-0121-2 (text/html)
Access to full text is restricted to subscribers.
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:kap:theord:v:57:y:2004:i:4:p:367-378
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/11238/PS2
DOI: 10.1007/s11238-005-0121-2
Access Statistics for this article
Theory and Decision is currently edited by Mohammed Abdellaoui
More articles in Theory and Decision from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().