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attributes and multidimensional unobserved heterogeneity with cross-section and panel data. We show that derivatives of choice … identification results to models with endogenous heterogeneity using either a control function or panel data. In time stationary … panel models with two periods, we find that differences over time of derivatives of choice probabilities identify utility …
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panel data with fixed effects. The estimation procedure is based on the observational equivalence between distribution free …
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We analyze identification of nonseparable models under three kinds of exogeneity assumptions weaker than full statistical independence. The first is based on quantile independence. Selection on unobservables drives deviations from full independence. We show that such deviations based on quantile...
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