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Persistent link: https://ebvufind01.dmz1.zbw.eu/10000831541
In this paper we study estimation of and inference for average treatment effects in a setting with panel data. We focus on the setting where units, e.g., individuals, firms, or states, adopt the policy or treatment of interest at a particular point in time, and then remain exposed to this...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012911687
We study the problem of estimating the average causal effect of treating every member of a population, as opposed to none, using an experiment that treats only some. We consider settings where spillovers have global support and decay slowly with (a generalized notion of) distance. We derive the...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015171720
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011913084
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011819986
In this paper we study estimation of and inference for average treatment effects in a setting with panel data. We focus on the setting where units, e.g., individuals, firms, or states, adopt the policy or treatment of interest at a particular point in time, and then remain exposed to this...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012480616
This study investigates how to use regression adjustment to reduce variance in experimental data. We show that the estimators recommended in the literature satisfy an orthogonality property with respect to the parameters of the adjustment. This observation greatly simplifies the derivation of...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013477248
Persistent link: https://ebvufind01.dmz1.zbw.eu/10001512393
Persistent link: https://ebvufind01.dmz1.zbw.eu/10001513531
Persistent link: https://ebvufind01.dmz1.zbw.eu/10001518508