Literature DB >> 21170148

Tests of Hypotheses Arising In the Correlated Random Coefficient Model.

James J Heckman1, Daniel Schmierer.   

Abstract

This paper examines the correlated random coefficient model. It extends the analysis of Swamy (1971), 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.

Entities:  

Year:  2010        PMID: 21170148      PMCID: PMC3001628          DOI: 10.1016/j.econmod.2010.07.019

Source DB:  PubMed          Journal:  Econ Model        ISSN: 0264-9993


  3 in total

1.  Local instrumental variables and latent variable models for identifying and bounding treatment effects.

Authors:  J J Heckman; E J Vytlacil
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-13       Impact factor: 11.205

2.  Efficient statistical inference procedures for partially nonlinear models and their applications.

Authors:  Runze Li; Lei Nie
Journal:  Biometrics       Date:  2007-11-19       Impact factor: 2.571

3.  Testing the Correlated Random Coefficient Model.

Authors:  James J Heckman; Daniel Schmierer; Sergio Urzua
Journal:  J Econom       Date:  2010-10-01       Impact factor: 2.388

  3 in total
  1 in total

1.  Estimating Marginal Returns to Education.

Authors:  Pedro Carneiro; James J Heckman; Edward Vytlacil
Journal:  Am Econ Rev       Date:  2011-10
  1 in total

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