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...

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...

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...

When treatments may occur at different points in time, most evaluation methods assume – implicitly or explicitly – that all the information used by subjects about the occurrence of a future treatment is available to the researcher. This is often called the “no anticipation” assumption....

This paper develops and implements a method to identify and estimate treatmenteffects in a dynamic setting where treatments may occur at any point in time. Bycombining the standard matching approach to the timing-of-events approach, itdemonstrates that the effect of the treatment on the treated...

This paper provides a method to infer the presence of treatment spillovers within markets where a fraction of agents is treated. We model individual outcomes as functions of the assigned treatment status and the distribution of assigned treatments in a market. We develop a two-step...

We extend the standard evaluation framework to allow for interactions between individuals within segmented markets. An individual's outcome depends not only on the assigned treatment status but also on (features of) the distribution of the assigned treatments in his market. To evaluate how the...

When treatments may occur at di®erent points in time, most evaluation methodsassume - implicitly or explicitly - that all the information used by subjects about theoccurrence of a future treatment is available to the researcher. This is often called the\no anticipation" assumption. In reality,...

Econometric evaluations of public-sponsored training programmes generally find little evidence of an impact of such policies on transition rates out of unemployment. We perform the first evaluation of training effects for the unemployed adults in France, exploiting a unique longitudinal dataset...

Econometric evaluations of public-sponsored training programmes generallyfind little evidence of an impact of such policies on transition ratesout of unemployment.We perform the first evaluation of training effectsfor the unemployed adults in France, exploiting a unique longitudinaldataset from...