Estimation of a Binary Choice Model with Grouped Choice Data

We propose an econometric technique for estimating the parameters of a binary choice model when only aggregated data are available on the choices made. The method performs favorably in applications to both simulated and real world choice data.


Issue Date:
2005
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/18495
Total Pages:
10
Series Statement:
CARD Working Paper 05-WP 381




 Record created 2017-04-01, last modified 2017-04-04

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)