This paper applies classical exponential-family statistical theory to develop a unifying framework for testing structural parameters in the simultaneous equations model under the assumption of normal errors with known ...

This note shows the equivalence of different instrumental variables estimators to solve the endogeneity problem in linear models when valid instruments are available. We demonstrate that the exclusion restriction estimator ...

This paper considers tests of the parameter of an endogenous variable in an instrumental variables regression model. The focus is on one-sided conditional t-tests. Theoretical and numerical work shows that the conditional ...

Endogeneity is often present in discrete choice models, precluding the consistent estimation of the model parameters. To correct for this problem, the researcher needs to gather exogenous instrumental variables, which ...

Endogeneity is often present in discrete choice models, precluding the consistent estimation of the model parameters. To correct for this problem, the researcher needs to gather exogenous instrumental variables, which ...

The biggest challenge of the instrumental variable model is finding a valid instrument, one that satisfies the assumptions of relevance and, especially, exogeneity. To impose a less restrictive assumption, some estimators ...

It is well-known that size adjustments based on bootstrapping the t-statistic perform poorly when instruments are weakly correlated with the endogenous explanatory variable. In this paper, we provide a theoretical proof ...