Arbeitspapier

The dynamics of social assistance benefit receipt in Germany: State dependence before and after the 'Hartz reforms'

In this article, we study state dependence in social assistance receipt in Germany using annual survey data from the German Socio-Economic Panel (SOEP) for the years 1995-2011. We show that there is considerable observed state dependence, with an average persistence rate in benefits of 68% compared to an average entry rate of below 4%. To identify a possible structural component in state dependence, we estimate a series of dynamic random-effects probit models that control for unobserved heterogeneity and endogeneity of initial condition. We find evidence of substantial state dependence in benefit receipt. Our estimates suggest that benefit receipt one year ago raises the likelihood of benefit receipt today by a factor of 3.7. This corresponds to an average partial effect of over 14 percentage points. Average predicted entry and persistence rates are much higher in Eastern Germany than in Western Germany, absolute levels of structural state dependence however are comparable. We do not find evidence for much time variation in state dependence. This holds true also for the time around the Hartz reforms.

Language
Englisch

Bibliographic citation
Series: SOEPpapers on Multidisciplinary Panel Data Research ; No. 628

Classification
Wirtschaft
Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
Mobility, Unemployment, Vacancies, and Immigrant Workers: General
Unemployment: Models, Duration, Incidence, and Job Search
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Subject
social assistance
welfare benefits
state dependence
Hartz reforms

Event
Geistige Schöpfung
(who)
Königs, Sebastian
Event
Veröffentlichung
(who)
Deutsches Institut für Wirtschaftsforschung (DIW)
(where)
Berlin
(when)
2014

Handle
Last update
10.03.2025, 11:46 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Königs, Sebastian
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Time of origin

  • 2014

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