Tests of hypotheses arising in the correlated random coefficient model / James J. Heckman, Daniel A. Schmierer.

Author/creator Heckman, James J.
Other author Schmierer, Daniel A.
Other author National Bureau of Economic Research.
Format Electronic
Publication InfoCambridge, MA : National Bureau of Economic Research,
Supplemental ContentFull text available from NBER Working Papers

SeriesNBER working paper series ; working paper 16421
Working paper series (National Bureau of Economic Research : Online) ; working paper no. 16421. UNAUTHORIZED
Summary "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"--National Bureau of Economic Research web site.
General noteTitle from PDF file as viewed on 12/28/2010.
Bibliography noteIncludes bibliographical references.
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Other formsAlso available in print.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2010656276