Tests of hypotheses arising in the correlated random coefficient model
James Heckman and
Daniel Schmierer
Economic Modelling, 2010, vol. 27, issue 6, 1355-1367
Abstract:
This paper examines the correlated random coefficient model. It extends the analysis of Swamy (1971, 1974), who pioneered the uncorrelated random coefficient model in economics. We develop the properties of the correlated random coefficient model and derive a new representation of the variance of the instrumental variable estimator for that model. We develop tests of the validity of the correlated random coefficient model against the null hypothesis of the uncorrelated random coefficient model.
Keywords: Random; coefficient; models; Correlated; random; coefficient; models; Instrumental; variables (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264-9993(10)00146-X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Tests of Hypotheses Arising in the Correlated Random Coefficient Model (2010) 
Working Paper: Tests of Hypotheses Arising in the Correlated Random Coefficient Model (2010) 
Working Paper: Tests of Hypotheses Arising In the Correlated Random Coefficient Model (2010) 
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:ecmode:v:27:y:2010:i:6:p:1355-1367
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().