EconPapers    
Economics at your fingertips  
 

Semiparametric Estimation of Location and Other Discrete Choice Moments

Arthur Lewbel ()

Econometric Theory, 1997, vol. 13, issue 01, pages 32-51

Abstract: Latent variable discrete choice model estimation and interpretation depend on the density function of the latent variable's unobserved random component. This paper provides a simple semiparametric estimator of the moments of this density. The results can be used as starting values for parametric estimators, to estimate the appropriate location and scaling for semiparametric estimators, for specification testing including tests of latent error skewness and kurtosis, and to estimate coefficients of discrete explanatory variables in the model.

Date: 1997
View citations in EconPapers

Downloads: (external link)
http://journals.cambridge.org/abstract_S0266466600005636 link to article abstract page (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:cup:etheor:v:13:y:1997:i:01:p:32-51_00

Access Statistics for this article

More articles in Econometric Theory from Cambridge University Press
Address: The Edinburgh Building, Shaftesbury Road, Cambridge CB2 2RU UK
Series data maintained by Mike Eden ().

 
Page updated 2009-11-28
Handle: RePEc:cup:etheor:v:13:y:1997:i:01:p:32-51_00