Showing 1 - 10 of 29
We develop an estimator for the parameters of a utility function that has interactions between the unobserved demand error and observed factors including price. We show that the Berry (1994)/Berry, Levinsohn, and Pakes (1995) inversion and contraction can still be used to recover the mean...
Persistent link: https://www.econbiz.de/10013128265
Persistent link: https://www.econbiz.de/10013161668
"We show that the well-known numerical equivalence between two-stage least squares (2SLS) and the classic control function (CF) estimator raises an interesting and unrecognized puzzle. The classic CF approach maintains that the regression error is mean independent of the instruments conditional...
Persistent link: https://www.econbiz.de/10008822526
Persistent link: https://www.econbiz.de/10011592265
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
It is well known that efficient estimation of average treatment effects can be obtained by the method of inverse propensity score weighting, using the estimated propensity score, even when the true one is known. When the true propensity score is unknown but parametric, it is conjectured from the...
Persistent link: https://www.econbiz.de/10012025779
We explore a nonparametric mixtures estimator for recovering the joint distribution of random coefficients in economic models. The estimator is based on linear regression subject to linear inequality constraints and is computationally attractive compared to alternative, nonparametric estimators....
Persistent link: https://www.econbiz.de/10013121600
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