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Persistent link: https://www.econbiz.de/10010485916
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 …
Persistent link: https://www.econbiz.de/10015383637
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generalize a classic result in copula theory concerning the extendibility of subcopulas to show that related objects …
Persistent link: https://www.econbiz.de/10011994834
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Dynamic discrete choice models usually require a general specification of unobserved heterogeneity. In this paper, we … with a multivariate normal distribution for the unobserved heterogeneity, the Bayesian MCMC estimator yields almost … assumptions which are consistent with economic theory, e.g. log-normally distributed consumption preferences, the Bayesian method …
Persistent link: https://www.econbiz.de/10009537623
Dynamic discrete choice models usually require a general specification of unobserved heterogeneity. In this paper, we … with a multivariate normal distribution for the unobserved heterogeneity, the Bayesian MCMC estimator yields almost … assumptions which are consistent with economic theory, e.g. log-normally distributed consumption preferences, the Bayesian method …
Persistent link: https://www.econbiz.de/10009579233
The estimation problem in this paper is motivated by maximum score estimation of preference parameters in the binary choice model under uncertainty in which the decision rule is affected by conditional expectations. The preference parameters are estimated in two stages: we estimate conditional...
Persistent link: https://www.econbiz.de/10010358923
We establish nonparametric identification in a class of so-called index models using a novel approach that relies on general topological results. Our proof strategy imposes very weak smoothness conditions on the functions to be identified and does not require any large support conditions on the...
Persistent link: https://www.econbiz.de/10012109838
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