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Near Rationality In Wage Setting

[Zeitschriftenartikel]

Bhalotra, Sonia

Abstract

This paper argues that it is interesting to study near rational behaviour in the context of an efficiency wage model, where there are positive if decreasing returns to increasing the wage beyond the efficient level. Previous research has found it difficult to distinguish between efficiency wage and ... mehr

This paper argues that it is interesting to study near rational behaviour in the context of an efficiency wage model, where there are positive if decreasing returns to increasing the wage beyond the efficient level. Previous research has found it difficult to distinguish between efficiency wage and bargaining models. And unions are a priori more likely to develop in environments in which the technology favours efficiency wage payments. This makes it interesting to investigate what it costs the firm to deviate from the efficiency wage. If it does not cost a lot, firms may give in to union demands. This paper derives expressions for the wage deviation and for the associated profit loss. For illustrative purposes, these are calibrated for UK, US and Indian manufacturing, taking a plausible parametrisation of the effort-wage function and using available estimates of the wage and employment elasticities of output. While there is evidence of positive effort returns to wages in the UK and India, the results are consistent with wage bargaining pushing the wage above the efficient level. The associated profit loss is considerably larger in the UK than in India. US firms pay wages that are insignificantly different from the efficiency wage.... weniger

Sprache Dokument
Englisch

Publikationsjahr
2006

Seitenangabe
S. 2513-2521

Zeitschriftentitel
Applied Economics, 38 (2006) 21

DOI
https://doi.org/10.1080/00036840500427734

Status
Postprint; begutachtet (peer reviewed)

Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.