A quantile regression approach for estimating panel data models using instrumental variables
Matthew Harding () and
Carlos Lamarche
Economics Letters, 2009, vol. 104, issue 3, 133-135
Abstract:
We introduce a quantile regression approach to panel data models with endogenous variables and individual effects correlated with the independent variables. We find newly developed quantile regression methods can be easily adapted to estimate this class of models efficiently.
Keywords: Quantile; regression; Instrumental; Variables; Individual; Effects (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (101)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165-1765(09)00155-4
Full text for ScienceDirect subscribers only
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:eee:ecolet:v:104:y:2009:i:3:p:133-135
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().