Arbeitspapier

Targeting Disability Insurance Applications with Screening

We examine the targeting effects of increased scrutiny in the screening of Disability Insurance (DI) applications using exogenous variation in screening induced by a policy reform. The reform raised DI application costs and revealed more information about the true disability status of applicants at the point of the award decision. We use administrative data on DI claims and awards and merge these with other administrative data on hospitalization, mortality and labor market outcomes. Regression Discontinuity in Time (RDiT) regressions show substantial declines in DI application rates and changes in the composition of the pool of applicants. We find that the health of those who are not discouraged from applying is worse than those who are. This suggests that the pool of applicants becomes more deserving. At the same time, compared with those who did not apply under the old system of more lax screening, those who are discouraged from applying are in worse health, have substantially lower earnings and are more often unemployed. This indicates that there are spillovers of the DI reform to other social insurance programs. As we do not find additional screening effects on health at the point of the award decision, we conclude that changes in the health condition of the pool of awarded applicants are fully driven by self-screening of (potential) applicants.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 12343

Klassifikation
Wirtschaft
Thema
disability insurance
screening
composition effects
targeting efficiency

Ereignis
Geistige Schöpfung
(wer)
Godard, Mathilde
Koning, Pierre
Lindeboom, Maarten
Ereignis
Veröffentlichung
(wer)
Institute of Labor Economics (IZA)
(wo)
Bonn
(wann)
2019

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Godard, Mathilde
  • Koning, Pierre
  • Lindeboom, Maarten
  • Institute of Labor Economics (IZA)

Entstanden

  • 2019

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