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The Political Consequences of Labor Market Dualization: Labor Market Status, Occupational Unemployment and Policy Preferences

Published online by Cambridge University Press:  18 November 2019

Tim Vlandas*
Affiliation:
University of Oxford
*
*Corresponding author. E-mail: tim.vlandas@spi.ox.ac.uk
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Abstract

This article explores empirically how different types of labor market inequality affect policy preferences in post-industrial societies. I argue that the two main conceptualizations of labor market vulnerability identified in the insider–outsider literature are complementary: labor market risks are shaped by both labor market status—whether an individual is unemployed, in a temporary or permanent contract—and occupational unemployment—whether an individual is in an occupation with high or low unemployment. As a result, both status and occupation are important determinants of individual labor market policy preferences. In this paper, I first briefly conceptualize the link between labor market divides, risks and policy preferences, and then use cross-national survey data to investigate the determinants of preferences.

Information

Type
Symposium
Copyright
Copyright © The European Political Science Association 2019
Figure 0

Figure 1. The determinants of labor market policy preferences.

Note: The figure displays the coefficients for several logistic regressions when using different dependent variables. The effects are rescaled by the standard deviations of the predictors (semi-standardized effects). Age (quadratic term) and country dummies also included but not shown. The lines display the 95 percent confidence interval calculated using robust standard errors clustered by country.
Figure 1

Figure 2. The occupational determinants of labor market policy preferences.

Note: Same as for Figure 1.
Figure 2

Figure 3. The effect of being unemployed on the predicted probability of supporting unemployment benefits conditional on occupational unemployment.

Note: This plot was computed using the margins command following a logistic regression with the same independent variables as in Figure 1 but interacting being unemployed with occupational unemployment. It shows predicted probabilities, holding other variables at their means.
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