A Monte Carlo Study of Ec-Estimation in Panel Data Models with Limited Dependent Variables and Heterogeneity

Mahmoud El-Gamal

Working papers from Wisconsin Madison - Social Systems

Abstract: The EC (Estimation-Classification) estimator, and its companion EC-algorithm, were introduced in El- Gamal and Grether (1995), and their properties further analyzed in El-Gamal and Grether (1996). The purpose of EC estimation is to uncover heterogeneity in panel data models in a manner which is more parsimonious and computationally less costly than some of the standard methods (e.g. fixed effects). The latter concern is particularly evident in limited dependent variable models where no simple method of estimating fixed effects is available (e.g. probits).

Keywords: EVALUATION; ECONOMIC MODELS (search for similar items in EconPapers)
JEL-codes: C51 C52 (search for similar items in EconPapers)
Pages: 16 pages
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.ssc.wisc.edu/econ/archive/wp9703.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.ssc.wisc.edu/econ/archive/wp9703.pdf [301 Moved Permanently]--> https://www.ssc.wisc.edu/econ/archive/wp9703.pdf [301 Moved Permanently]--> http://econ.wisc.edu//archive/wp9703.pdf [301 Moved Permanently]--> https://econ.wisc.edu:443//archive/wp9703.pdf [301 Moved Permanently]--> https://econ.wisc.edu/archive/wp9703.pdf)

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: https://EconPapers.repec.org/RePEc:att:wimass:9703

Access Statistics for this paper

More papers in Working papers from Wisconsin Madison - Social Systems UNIVERSITY OF WISCONSIN MADISON, SOCIAL SYSTEMS RESEARCH INSTITUTE(S.S.R.I.), MADISON WISCONSIN 53706 U.S.A..
Bibliographic data for series maintained by Ailsenne Sumwalt ().