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We propose a simple nonparametric mixtures estimator for recovering the joint distribution of parameter heterogeneity in economic models, such as the random coefficients logit. The estimator is based on linear regression subject to linear inequality constraints, and is robust, easy to program...
Persistent link: https://www.econbiz.de/10012463439
We propose a simple mixtures estimator for recovering the joint distribution of parameter heterogeneity in economic models, such as the random coefficients logit. The estimator is based on linear regression subject to linear inequality constraints, and is robust, easy to program, and...
Persistent link: https://www.econbiz.de/10011756371
Persistent link: https://www.econbiz.de/10010496176
Persistent link: https://www.econbiz.de/10011699330
We propose a simple nonparametric mixtures estimator for recovering the joint distribution of parameter heterogeneity in economic models, such as the random coefficients logit. The estimator is based on linear regression subject to linear inequality constraints, and is robust, easy to program...
Persistent link: https://www.econbiz.de/10013151646
Persistent link: https://www.econbiz.de/10003327884
Persistent link: https://www.econbiz.de/10003451745
This paper studies an alternative bias correction for the M-estimator, which is obtained by correcting the moment equations in the spirit of Firth (1993). In particular, this paper compares the stochastic expansions of the analytically-bias-corrected estimator and the alternative estimator and...
Persistent link: https://www.econbiz.de/10011650483