Showing 1 - 10 of 10
We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure. We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...
Persistent link: https://www.econbiz.de/10011453442
We propose and implement a new method to estimate treatment effects in settings where individuals need to be in a certain state (e.g. unemployment) to be eligible for a treatment, treatments may commence at different points in time, and the outcome of interest is realized after the individual...
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Consider a setting where a treatment that starts at some point during a spell (e.g. in unemployment) may impact on the hazard rate of the spell duration, and where the impact may be heterogeneous across subjects. We provide Monte Carlo evidence on the feasibility of estimating the distribution...
Persistent link: https://www.econbiz.de/10003941767
We investigate the effects of meetings between the unemployed and their case workers on the transition rate from unemployment to employment using detailed Danish event history data obtained from administrative registers. We find large positive effects of meetings. The transition rate strongly...
Persistent link: https://www.econbiz.de/10009536654
Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...
Persistent link: https://www.econbiz.de/10010403911
This paper implements a method to identify and estimate treatment effects in a dynamic setting where treatments may occur at any point in time. By relating the standard matching approach to the timing-of-events approach, it demonstrates that effects of the treatment on the treated at a given...
Persistent link: https://www.econbiz.de/10003778983
This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...
Persistent link: https://www.econbiz.de/10012886838