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This paper considers the evaluation of the average treatment effect (ATE) in a triangular system with binary dependent variables. I impose a threshold crossing model on both endogenous regressor and the outcome. No parametric functional form or distributional assumptions are imposed. Shaikh and...
Persistent link: https://www.econbiz.de/10011145629
We derive the empirical content of Nash equilibrium in 2×2 games of perfect information, including duopoly entry and coordination games. The derived bounds are nonparametric intersection bounds and are simple enough to lend themselves to existing inference methods. Implications of pure strategy...
Persistent link: https://www.econbiz.de/10011166108
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We derive the empirical content of an instrumental variables model of sectorial choice with binary outcomes. Assumptions on selection include the simple, extended and generalized Roy models. The derived bounds are nonparametric intersection bounds and are simple enough to lend themselves to...
Persistent link: https://www.econbiz.de/10009421301
This note discusses partial identification in a nonparametric triangular system with discrete endogenous regressors and nonseparable errors. Recently, Jun et al. (2011, JPX) provide bounds on the structural function evaluated at particular values using exclusion, exogeneity and rank conditions....
Persistent link: https://www.econbiz.de/10011116221
This paper deals with the question whether exclusion restrictions on the exogenous regressors are necessary to identify two equation probit models with endogenous dummy regressor. We show that Wilde (2000)’s criterion is insufficient for (point) identification.
Persistent link: https://www.econbiz.de/10011116226
We derive the empirical content of an instrumental variables model of sectorial choice with binary outcomes. Assumptions on selection include the simple, extended and generalized Roy models. The derived bounds are nonparametric intersection bounds and are simple enough to lend themselves to...
Persistent link: https://www.econbiz.de/10009652125