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作者：Matzkin, Rosa L.
作者单位：University of California System; University of California Los Angeles
摘要：This paper provides conditions for identification of functionals in nonparametric simultaneous equations models with nonadditive unobservable random terms. The conditions are derived from a characterization of observational equivalence between models. We show that, in the models considered, observational equivalence can be characterized by a restriction on the rank of a matrix. The use of the new results is exemplified by deriving previously known results about identification in parametric and...
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作者：Florens, J. P.; Heckman, J. J.; Meghir, C.; Vytlacil, E.
作者单位：Universite de Toulouse; Universite Toulouse 1 Capitole; University College Dublin; University of Chicago; University of London; London School Economics & Political Science; University College London; University of London; University College London; Yale University
摘要：We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity, but unlike alternative nonparametric control function approaches, our approach does not require large support assumptions.
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作者：Goeree, Michelle Sovinsky
作者单位：University of Southern California; Claremont Colleges; Claremont McKenna College; Claremont Graduate University
摘要：Traditional discrete-choice models assume buyers are aware of all products for sale. In markets where products change rapidly, the full information assumption is untenable. I present a discrete-choice model of limited consumer information, where advertising influences the set of products from which consumers choose to purchase. I apply the model to the U.S. personal computer market where top firms spend over $2 billion annually on advertising. I find estimated markups of 19% over production co...
