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An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply
Abstract
A test of weak exogeneity in the simultaneous equation Tobit model is proposed and illustrated using a female labour supply model estimated using cross-section data. The test statistic can be simply output from any standard Tobit maximum likelihood package, and is asymptotically efficient. The procedure provides consistent estimators for the simultaneous Tobit model whose asymptotic covariance matrix is a simple extension of the usual Tobit formula. We also provide the Lagrange Multiplier test of weak exogeneity. (This abstract was borrowed from another version of this item.)
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Cites
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Cited by
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling
Terza, J. V., Basu, A., & Rathouz, P. J. (2008) · Journal of Health Economics · doi:10.1016/j.jhealeco.2007.09.009 · Cited by 1,728
Controlling for endogeneity with instrumental variables in strategic management research
Bascle, G. (2008) · Strategic Organization · doi:10.1177/1476127008094339 · Cited by 1,133
Health Behavior, Health Knowledge, and Schooling
Kenkel, D. S. (1991) · Journal of Political Economy · doi:10.1086/261751 · Cited by 956
Subsidies and Crowding Out: A Double‐Hurdle Model of Fertilizer Demand in Malawi
Ricker-Gilbert, J., Jayne, T. S., & Chirwa, E. (2011) · American Journal of Agricultural Economics · doi:10.1093/ajae/aaq122 · Cited by 402
Metadata
- Authors
- Smith, R. J., & Blundell, R. W.
- Venue
- Econometrica
- Publisher
- JSTOR
- Published
- 1986-05
- Volume
- 54
- Issue
- 3
- Pages
- 679
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W2148897567
- Cited by
- 1,158
- References
- 1
- FWCI
- 17.14
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.