Which control variables do we really need for matching based evaluations of labour market programmes?

Konferenzbeitrag

Based on a new, exceptionally informative and large German linked employer-employee administrative dataset, we investigate the question whether the omission of important control variables in matching estimation leads to biased impact estimates of typical active labour market programmes for the unemployed. Such biases would lead to false policy conclusions about the effectiveness of these expensive policies. Based on our preliminary findings, it seems that controlling for standard demographic variables removes already a substantial part of the potential selection bias.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2010: Ökonomie der Familie - Session: Evaluation Econometrics ; No. A6-V1

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Mobility, Unemployment, and Vacancies: Public Policy ; Unemployment: Models, Duration, Incidence, and Job Search ; Mobility, Unemployment, and Vacancies: Other
• Thema: Training ; job search assistance ; matching estimation ; active labour market policies

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Lechner, Michael ; Wunsch, Conny
• Ereignis: Veröffentlichung
• (wer): Verein für Socialpolitik
• (wo): Frankfurt a. M.
• (wann): 2010

Weitere Informationen

• Handle: http://hdl.handle.net/10419/37434
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ