Conditional independence in sample selection models
AbstractIn this note, I describe the conditional independence properties that make it possible to use the selection propensity score to control selection bias in a general sample selection model. The resulting characterization does not rely on a latent index selection mechanism and imposes no structure other than an assumption of independance between the regression error term and the regressors in random samples. This approach leads to a simple rule that can be used to determine if conditioning on the selection propensity score is sufficient to control selection bias.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 54 (1997)
Issue (Month): 2 (February)
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Web page: http://www.elsevier.com/locate/ecolet
Other versions of this item:
- Angrist, J.D., 1996. "Conditional Independance in Sample Selection Models," Working papers 96-27, Massachusetts Institute of Technology (MIT), Department of Economics.
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Thomas Mroz, .
"The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions,"
University of Chicago - Population Research Center, Chicago - Population Research Center
84-8, Chicago - Population Research Center.
- Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, Econometric Society, vol. 55(4), pages 765-99, July.
- Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, Elsevier, vol. 58(1-2), pages 3-29, July.
- Chamberlain, Gary, 1982. "The General Equivalence of Granger and Sims Causality," Econometrica, Econometric Society, Econometric Society, vol. 50(3), pages 569-81, May.
- Olsen, Randall J, 1980. "A Least Squares Correction for Selectivity Bias," Econometrica, Econometric Society, Econometric Society, vol. 48(7), pages 1815-20, November.
- Florens, J P & Mouchart, M, 1982. "A Note on Noncausality," Econometrica, Econometric Society, Econometric Society, vol. 50(3), pages 583-91, May.
- Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, Elsevier, vol. 30(1-2), pages 239-267.
- Lee, Lung-Fei, 1982. "Some Approaches to the Correction of Selectivity Bias," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 49(3), pages 355-72, July.
- Joshua D. Angrist, 1995. "Conditioning on the Probability of Selection to Control Selection Bias," NBER Technical Working Papers 0181, National Bureau of Economic Research, Inc.
- Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, American Economic Association, vol. 80(2), pages 313-18, May.
- Olsen, Randall J, 1982. "Distributional Tests for Selectivity Bias and a More Robust Likelihood Estimator," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(1), pages 223-40, February.
- Gronau, Reuben, 1974. "Wage Comparisons-A Selectivity Bias," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 82(6), pages 1119-43, Nov.-Dec..
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Applied Econometrics, Publishing House "SINERGIA PRESS",
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Little, Roderick J A, 1985. "A Note about Models for Selectivity Bias," Econometrica, Econometric Society, Econometric Society, vol. 53(6), pages 1469-74, November.
- Chamberlain, Gary, 1986. "Asymptotic efficiency in semi-parametric models with censoring," Journal of Econometrics, Elsevier, Elsevier, vol. 32(2), pages 189-218, July.
- James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492 National Bureau of Economic Research, Inc.
- Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, Econometric Society, vol. 42(4), pages 679-94, July.
- Dynarski, Mark, 1987. "The Scholastic Aptitude Test: Participation and performance," Economics of Education Review, Elsevier, Elsevier, vol. 6(3), pages 263-273, June.
- Ham, John C & LaLonde, Robert J, 1996. "The Effect of Sample Selection and Initial Conditions in Duration Models: Evidence from Experimental Data on Training," Econometrica, Econometric Society, Econometric Society, vol. 64(1), pages 175-205, January.
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