Hostname: page-component-89b8bd64d-ksp62 Total loading time: 0 Render date: 2026-05-11T10:51:06.827Z Has data issue: false hasContentIssue false

Redistributing under fiscal constraint: partisanship, debt, inequality and labour market regulation

Published online by Cambridge University Press:  16 July 2018

Lasse Aaskoven*
Affiliation:
Department of Political Science, University of Copenhagen, København, Denmark
*
*Corresponding author. Email: lasseaaskoven@hotmail.com
Rights & Permissions [Opens in a new window]

Abstract

Labour market regulation varies significantly, both within and between developed democracies. While there has been extensive research and debate in economics on the consequences of labour market regulation, the political causes for levels and changes in labour market regulation have received less scholarly attention. This article investigates a political economy explanation for differences in labour market regulation building on a theoretical argument that labour regulation can be used as a nonfiscal redistribution tool. Consequently, partisanship, the demand for redistribution and government budget constraint jointly determine whether labour market regulation will increase or decrease. Consistent with this argument, panel analyses from 33 Organisation for Economic Co-Operation and Development countries reveal that labour market regulation increases under left-wing governments that face increased market inequality and high government debt.

Information

Type
Research Article
Copyright
© Cambridge University Press 2018 
Figure 0

Table 1 Descriptive statistics

Figure 1

Table 2 Results

Figure 2

Figure 1 Effect of inequality on labour market regulation contingent on partisanship and government debt: (a) high debt level and (b) low debt level. Note: High debt level is defined as general government debt exceeding 60% of gross domestic product. Vertical lines show 90% confidence intervals.

Figure 3

Table 3 Robustness tests

Figure 4

Table 4 Proxy test: unemployment

Figure 5

Table A1 Core results with lagged explanatory variables