The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Location and Employment Choices of New Firms: An Econometric Model with Discrete and Continuous Endogenous Variables
Abstract
Dennis W. Carlton, The Location and Employment Choices of New Firms: An Econometric Model with Discrete and Continuous Endogenous Variables, The Review of Economics and Statistics, Vol. 65, No. 3 (Aug., 1983), pp. 440-449
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Citations
Cites
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Cited by
Who Benefits from State and Local Economic Development Policies?
Bartik, T. J. (1991) · doi:10.17848/9780585223940 · Cited by 2,643
Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach
Ellison, G., & Glaeser, E. L. (1997) · Journal of Political Economy · doi:10.1086/262098 · Cited by 2,112
Patterns of Firm Entry and Exit in U.S. Manufacturing Industries
Dunne, T., Roberts, M. J., & Samuelson, L. (1988) · The RAND Journal of Economics · doi:10.2307/2555454 · Cited by 1,651
The Geographic Concentration of Industry: Does Natural Advantage Explain Agglomeration?
Ellison, G., & Glaeser, E. L. (1999) · American Economic Review · doi:10.1257/aer.89.2.311 · Cited by 991
Metadata
- Authors
- Carlton, D. W.
- Venue
- The Review of Economics and Statistics
- Publisher
- JSTOR
- Published
- 1983-08
- Volume
- 65
- Issue
- 3
- Pages
- 440
- ISSN
- 0034-6535 (ISSN-L)
- OpenAlex
- W2125987861
- Cited by
- 709
- References
- 1
- FWCI
- 15.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Carlton, D. W. (1983). The Location and Employment Choices of New Firms: An Econometric Model with Discrete and Continuous Endogenous Variables. The Review of Economics and Statistics. https://doi.org/10.2307/1924189
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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.
