Arbeitspapier

Early retirement of employees in demanding jobs: Evidence from a German pension reform

Early retirement options are usually targeted at employees at risk of not reaching their regular retirement age in employment. An important at-risk group comprises employees who have worked in demanding jobs for many years. This group may be particularly negatively affected by the abolition of early retirement options. To measure differences in labor market reactions of employees in low- and high-demand jobs, we exploit the quasi-natural experiment of a cohort-specific pension reform that increased the early retirement age for women from 60 to 63 years. Based on a large administrative dataset, we use a regression-discontinuity approach to estimate the labor market reactions. Surprisingly, we find the same relative employment increase of about 25% for treated women who were exposed to low and to high job demand. For older women in demanding jobs, we do not find substitution effects into unemployment, partial retirement, disability pension, or inactivity. Eligibility for the pension for women required high labor market attachment; thus, we argue that this eligibility rule induced the positive selection of healthy workers into early retirement. We propose alternative policies that protect workers exposed to high job demand better against the negative consequences of being unable to reach their statutory retirement age in employment.

Sprache
Englisch

Erschienen in
Series: DIW Discussion Papers ; No. 1978

Klassifikation
Wirtschaft
Economics of the Elderly; Economics of the Handicapped; Non-labor Market Discrimination
Demographic Economics: Public Policy
Time Allocation and Labor Supply
Retirement; Retirement Policies
Fiscal Policies and Behavior of Economic Agents: Household
Thema
pension reform
job demand
early retirement
quasi-experimental variation

Ereignis
Geistige Schöpfung
(wer)
Geyer, Johannes
Lorenz, Svenja
Zwick, Thomas
Bruns, Mona
Ereignis
Veröffentlichung
(wer)
Deutsches Institut für Wirtschaftsforschung (DIW)
(wo)
Berlin
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Geyer, Johannes
  • Lorenz, Svenja
  • Zwick, Thomas
  • Bruns, Mona
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Entstanden

  • 2021

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