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doi: 10.2139/ssrn.380348
handle: 10419/76279 , 10419/82205 , 10419/82844
This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that, without additional assumptions, it is not possible to estimate the average treatment effect and treatment on the treated. It is, however, possible to estimate the effect of treatment on the treated up to a certain time point. We propose an estimator to estimate this effect and show that it is possible to test for an average treatment effect.
dynamic treatment assignment, method of matching, ddc:330, program evaluation, treatment effects, treatment effects, dynamic treatment assignment, program evaluation, method of matching, Mikroökonometrie, Treatment effects, C41, Projektbewertung, Matching, C14, Treatment effects; dynamic treatment assignment; program evaluation; method of matching, Theorie, jel: jel:C41, jel: jel:C14
dynamic treatment assignment, method of matching, ddc:330, program evaluation, treatment effects, treatment effects, dynamic treatment assignment, program evaluation, method of matching, Mikroökonometrie, Treatment effects, C41, Projektbewertung, Matching, C14, Treatment effects; dynamic treatment assignment; program evaluation; method of matching, Theorie, jel: jel:C41, jel: jel:C14
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |