This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The Method of Simulated Scores for the Estimation of LDV Models

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Vassilis A. Hajivassiliou
Daniel L. McFadden (Yale University)

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: ftp://ftp.econ.yale.edu/pub/vassilis/papers/ps/mssmeth.zip
Our checks indicate that this address may not be valid because: 500 Failed to connect to FTP server ftp.econ.yale.edu: Net::FTP: connect: Unknown error. If this is indeed the case, please notify (Thomas Krichel)
File Format: application/postscript
File Function:
Download Restriction: no

Publisher Info
Paper provided by Yale University in its series Working Papers with number _023.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: Apr 1993
Date of revision:
Handle: RePEc:wop:yaluwp:_023

Contact details of provider:
Postal: PO Box 8268, New Haven CT 06520-8268
Phone: (203) 432-3576
Fax: (203) 432-5779
Web page: http://www.econ.yale.edu/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Thomas Krichel).

Related research
Keywords:

Other versions of this item:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.
Statistics
Access and download statistics

Did you know? IDEAS uses the data collected within the RePEc project, the largest online bibliographic database in Economics.

This page was last updated on 2008-10-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.