Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/91525 
Erscheinungsjahr: 
2013
Schriftenreihe/Nr.: 
IFS Working Papers No. W13/27
Verlag: 
Institute for Fiscal Studies (IFS), London
Zusammenfassung: 
A comparison of hazard rates of duration outcomes before and after policy changes is hampered by non-identification if there is unobserved heteogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that overcomes this by exploiting variation in the moment at which different cohorts are exposed to the policy change, i.e. by considering spells crossing the policy change. We prove identification of average treatment effect on hazard rates without model structure. We estimate these effects by local linear kernel hazard regression. We use the introduction of the NDYP programme for young unemployed individuals to estimate average programme participation effects on the exit rate to work.
Schlagwörter: 
policy evaluation
hazard rate
identification
causality
regression discontinuity
selectivity
kernel hazard estimation
local linear regression
average treatment effect
job search assistance
youth unemployment
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