the program. The literature uses linear probability models and (Cox) proportional hazard models to predict duration … outcomes. These either focus on one threshold duration or impose proportionality. In this paper we propose a nonparametric … work from unemployment insu rance, we do not find that the weighting method outperforms Cox survivor function predictions. …

estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on … approach provides accurate effect estimates, especially if time-varying variation in the unemployment rate of the local labor …

estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on … approach provides accurate effect estimates, especially if time-varying variation in the unemployment rate of the local labor …

-metric two-step estimation methods …

Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison …

Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison … regression. In effect, we merge duration analysis and discontinuity analysis. We use the introduction of the NDYP program for …

Causal effects of a policy change on the hazard rates of a duration outcome variable are not identified from a …

Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison …