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Another look at the identification at infinity of sample selection models

Publication ,  Journal Article
D'Haultfoeuille, X; Maurel, A
Published in: Econometric Theory
2013

It is often believed that without instruments, endogenous sample selection models are identified only if a covariate with a large support is available (see, e.g., Chamberlain, 1986, Journal of Econometrics 32, 189-218; Lewbel, 2007, Journal of Econometrics141, 777-806). We propose a new identification strategy mainly based on the condition that the selection variable becomes independent of the covariates for large values of the outcome. No large support on the covariates is required. Moreover, we prove that this condition is testable. We finally show that our strategy can be applied to the identification of generalized Roy models. © 2012 Cambridge University Press.

Duke Scholars

Published In

Econometric Theory

DOI

ISSN

0266-4666

Publication Date

2013

Volume

29

Issue

1

Start / End Page

213 / 224

Related Subject Headings

  • Econometrics
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics
 

Citation

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D’Haultfoeuille, X., & Maurel, A. (2013). Another look at the identification at infinity of sample selection models. Econometric Theory, 29(1), 213–224. https://doi.org/10.1017/S026646661200028X
D’Haultfoeuille, X., and A. Maurel. “Another look at the identification at infinity of sample selection models.” Econometric Theory 29, no. 1 (2013): 213–24. https://doi.org/10.1017/S026646661200028X.
D’Haultfoeuille X, Maurel A. Another look at the identification at infinity of sample selection models. Econometric Theory. 2013;29(1):213–24.
D’Haultfoeuille, X., and A. Maurel. “Another look at the identification at infinity of sample selection models.” Econometric Theory, vol. 29, no. 1, 2013, pp. 213–24. Scival, doi:10.1017/S026646661200028X.
D’Haultfoeuille X, Maurel A. Another look at the identification at infinity of sample selection models. Econometric Theory. 2013;29(1):213–224.
Journal cover image

Published In

Econometric Theory

DOI

ISSN

0266-4666

Publication Date

2013

Volume

29

Issue

1

Start / End Page

213 / 224

Related Subject Headings

  • Econometrics
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics