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Bounds analysis of competing risks: a nonparametric evaluation of the effect of unemployment benefits on migration in Germany

Bounds-Analyse konkurrierender Risiken: eine nonparametrische Evaluation der Auswirkung von Arbeitslosenunterstützung auf die Migration in Deutschland
[working paper]

Arntz, Melanie
Lo, Simon M.S.
Wilke, Ralf A.

Corporate Editor
Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit (IAB) Forschungsdatenzentrum (FDZ)

Abstract

"In this paper we derive nonparametric bounds for the cumulative incidence curve within a competing risks model with partly identified interval data. As an advantage over earlier attempts our approach also gives valid results in case of dependent competing risks. We apply our framework to empiricall... view more

"In this paper we derive nonparametric bounds for the cumulative incidence curve within a competing risks model with partly identified interval data. As an advantage over earlier attempts our approach also gives valid results in case of dependent competing risks. We apply our framework to empirically evaluate the effect of unemployment benefits on observed migration of unemployed workers in Germany. Our findings weakly indicate that reducing the entitlement length for unemployment benefits increases migration among high-skilled individuals."(author's abstract)... view less

Keywords
unemployment compensation; insurance claim; duration; internal migration; regional mobility; migration; mobility readiness; unemployed person; highly qualified worker; Federal Republic of Germany

Classification
Labor Market Research
Labor Market Policy
Migration, Sociology of Migration

Document language
English

Publication Year
2007

City
Nürnberg

Page/Pages
29 p.

Series
FDZ Methodenreport, 4/2007

Status
Published Version; reviewed

Licence
Deposit Licence - No Redistribution, No Modifications

Data providerThis metadata entry was indexed by the Special Subject Collection Social Sciences, USB Cologne


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