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Specification and Estimation of a Simultaneous-Equation Model with Limited Dependent Variables
Abstract
Single equation models with limited dependent variables have received considerable attention in the econometrics literature, but little is known about the specification and estimation of simultaneous-equation models in which some or all endogenous variables are limited. The one relevant published paper by Amemiya [1974] considers a model in which all endogenous variables are truncated at zero, reveals certain necessary restrictions on the model, and suggests a method of estimation. But his model is not applicable to all situations and the merits of his estimation procedure are confined to consistency and tractability. Here we propose an alternative specification which may be more appropriate than Amemiya's for many problems and discuss a relatively simple limited-information estimation procedure.
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Citations
Cites
Estimation of Relationships for Limited Dependent Variables
Tobin, J. (1958) · Econometrica · doi:10.2307/1907382 · Cited by 6,996
Amemiya, T. (1974) · Econometrica · doi:10.2307/1914214 · Cited by 480
Kelejian, H. H. (1971) · Journal of the American Statistical Association · doi:10.1080/01621459.1971.10482270 · Cited by 354
Estimation of the Two-Limit Probit Regression Model
Rosett, R. N., & Nelson, F. D. (1975) · Econometrica · doi:10.2307/1913419 · Cited by 208
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Metadata
- Authors
- Nelson, F., & Olson, L.
- Venue
- International Economic Review
- Publisher
- JSTOR
- Published
- 1978-10
- Volume
- 19
- Issue
- 3
- Pages
- 695
- ISSN
- 0020-6598 (ISSN-L)
- OpenAlex
- W2025794830
- Cited by
- 406
- References
- 4
- FWCI
- 1.57
- 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.
