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Tests of Hypotheses Arising In the Correlated Random Coefficient Model

James Heckman and Daniel Schmierer
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Daniel Schmierer: University of Chicago

No 201045, Working Papers from Geary Institute, University College Dublin

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)
JEL-codes: C31 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2010-09-26
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Citations: View citations in EconPapers (8)

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http://www.ucd.ie/geary/static/publications/workingpapers/gearywp201045.pdf First version, 2010 (application/pdf)

Related works:
Journal Article: Tests of hypotheses arising in the correlated random coefficient model (2010) Downloads
Working Paper: Tests of Hypotheses Arising in the Correlated Random Coefficient Model (2010) Downloads
Working Paper: Tests of Hypotheses Arising in the Correlated Random Coefficient Model (2010) Downloads
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