EconPapers    
Economics at your fingertips  
 

Nonparametric and Semiparametric Methods for Economic Research

Miguel Delgado () and Peter Robinson

Journal of Economic Surveys, 1992, vol. 6, issue 3, 201-49

Abstract: Developments in the vast and growing literatures on nonparametric and semiparametric statistical estimation are reviewed. The emphasis is on useful methodology--rather than statistical properties for their own sake. Some empirical applications to economic data are described. The paper deals separately with nonparametric density estimation, nonparametric regression estimation, and estimation of semiparametric models. Copyright 1992 by Blackwell Publishers Ltd

Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (15)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: Nonparametric and semiparametric methods for economic research (1992) Downloads
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:bla:jecsur:v:6:y:1992:i:3:p:201-49

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0950-0804

Access Statistics for this article

More articles in Journal of Economic Surveys from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jecsur:v:6:y:1992:i:3:p:201-49