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Heterogeneity in choice models is typically assumed to have a normal distribution in both Bayesian and classical setups … models that can be applied to both individual as well as aggregate data. Heterogeneity is modeled using a Dirichlet process …
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Until recently, inference in many interesting models was precluded by the requirement of high dimensional integration. But dramatic increases in computer speed, and the recent development of new algorithms that permit accurate Monte Carlo evaluation of high dimensional integrals, have greatly...
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This chapter discusses identification of common selection models of the labor market. We start with the classic Roy model and show how it can be identified with exclusion restrictions. We then extend the argument to the generalized Roy model, treatment effect models, duration models, search...
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