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12:30 - 13:30 6 March 2012

"Estimating treatment effects with random coefficients in the selection equation"


IFS Seminar Room | Institute for Fiscal Studies (link Map)
7 Ridgmount Street | London | WC1E 7AE |

Open to: Academic | Student
Ticketing: Open

Speaker information

Eric Gautier, CREST

In this paper we study a binary treatment model where the outcome equation is of unrestricted form, and the selection equation contains several unobservables that enter through a random coefficients specification. This specification is flexible because it allows for complex unobserved heterogeneity of economic agents. Employing continuous instruments, we establish that the marginal distributions of Y0, the outcome for the untreated, and of Y1, the outcome for the treated, are identified. We can thus identify a conditional average treatment effect called CATE, which allows to identify several average treatment effects parameters. Moreover, we provide sharp bounds on the variance, the joint distribution of Y0; Y1 and the distribution of treatment effects.This allows to derive every treatment effect parameter, e.g., the distribution of treatment effects and the proportion of individuals who benefit from treatment. Finally, we present estimators, investigate their asymptotic behavior.


Institute for Fiscal Studies
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