Testing the Correlated Random Coefficient Model
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- Heckman, James J. & Schmierer, Daniel & Urzua, Sergio, 2010. "Testing the correlated random coefficient model," Journal of Econometrics, Elsevier, vol. 158(2), pages 177-203, October.
- Heckman, James J. & Schmierer, Daniel & Urzua, Sergio, 2009. "Testing the Correlated Random Coefficient Model," IZA Discussion Papers 4525, Institute of Labor Economics (IZA).
- James Heckman & Daniel Schmierer & Sergio Urzua, 2010. "Testing the correlated random coefficient model," CeMMAP working papers CWP10/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- James J. Heckman & Daniel Schmierer, 2009. "Testing the Correlated Random Coefficient Model," Working Papers 200937, Geary Institute, University College Dublin.
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- Pedro Carneiro & James Heckman & Edward Vytlacil, 2010. "Estimating marginal returns to education," CeMMAP working papers CWP29/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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- James Heckman & Sergio Urzua, 2010. "Comparing IV with structural models: what simple IV can and cannot identify," CeMMAP working papers CWP08/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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- Heckman, James J. & Schmierer, Daniel, 2010. "Tests of Hypotheses Arising in the Correlated Random Coefficient Model," IZA Discussion Papers 5205, Institute of Labor Economics (IZA).
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JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
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This paper has been announced in the following NEP Reports:- NEP-ECM-2009-10-31 (Econometrics)
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