An Efficient Method Of Moments Estimator For Discrete Choice Models With Choice-Based Sampling
In this paper, a new estimator is proposed for discrete choice models with choice-based sampling. The estimator is efficient and can incorporate information on the marginal choice probabilities in a straightforward manner and for that case leads to a procedure that is computationally and intuitively more appealing than the estimators that have been proposed before. The idea is to start with a flexible parametrization of the distribution of the explanatory variables and then rewrite the estimator to remove dependence on these parametric assumptions. Copyright 1992 by The Econometric Society.
(This abstract was borrowed from another version of this item.)
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||1991|
|Date of revision:|
|Contact details of provider:|| Postal: 200 Littauer Center, Cambridge, MA 02138|
Web page: http://www.economics.harvard.edu/journals/hier
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:harver:1546. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)
If references are entirely missing, you can add them using this form.