We consider the regression discontinuity (RD) design with the duration outcome which has discrete support. The … parameters of policy interest are treatment effects on unconditional (duration effect) and conditional (hazard effect) exiting … probabilities for each discrete level. We find that a flexible separability structure of the underlying continuous-time duration …

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of … endogenous assignment variable (like previous earnings). We provide new results on identification and estimation for these … unemployment insurance benefits on the duration of joblessness in Austria, where the benefit schedule has kinks at the minimum and …

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 …

A comparison of hazard rates of duration outcomes before and after policy changes is hampered by non-identification if …

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of … endogenous assignment variable (like previous earnings). We provide new results on identification and estimation for these … of unemployment insurance benefits on the duration of joblessness in Austria, where the benefit schedule has kinks at the …

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of … endogenous assignment variable (like previous earnings). We provide new results on identification and estimation for these … of unemployment insurance benefits on the duration of joblessness in Austria, where the benefit schedule has kinks at the …

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