Author, as appears in the article.: Herwartz, Helmut; Rodriguez-Justicia, David; Theilen, Bernd;
Department: Economia
URV's Author/s: Theilen, Bernd Georg
Keywords: Wage risk Probit models Job-specific wage risk Inequality Heterogeneity German soep German labor market Employment Earnings Dynamics
Abstract: This study proposes a new measure of wage risk based on estimated probabilities to earn an hourly wage that is below some specific lower quantile of the wage distribution. Using the German SOEP as an information rich data base, we determine wage risks overall and for nine job categories during the period from 1992 until 2015. We find that the low-wage workers in Germany are worse off after the Hartz reforms. In Western Germany this evidence stems from both a reduction of low wages and an increase of wage risk. In Eastern Germany, it is largely due to increased wage risk. Moreover, overall evidence hides important developments at the occupational level.
Thematic Areas: Sociology and political science Sociology Sociologia i política Sociología Social sciences, interdisciplinary Social sciences (miscellaneous) Social sciences (all) Serviço social Psychology Psicología Planejamento urbano e regional / demografia Nutrição Interdisciplinar Geociências General social sciences Engenharias iii Economia Developmental and educational psychology Ciencias sociales Ciencias humanas Ciências agrárias i Ciência política e relações internacionais Arts and humanities (miscellaneous) Administração pública e de empresas, ciências contábeis e turismo
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: bernd.theilen@urv.cat
Author identifier: 0000-0001-7141-2780
Record's date: 2024-07-27
Papper version: info:eu-repo/semantics/publishedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Social Indicators Research. 164 (3): 1427-1462
APA: Herwartz, Helmut; Rodriguez-Justicia, David; Theilen, Bernd; (2022). A New Measure of Wage Risk: Occupation-Specific Evidence for Germany. Social Indicators Research, 164(3), 1427-1462. DOI: 10.1007/s11205-022-02995-6
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications
Repositori URV