The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Specification and Estimation of Spatial Panel Data Models
Abstract
This article provides a survey of the specification and estimation of spatial panel data models. These models include spatial error autocorrelation, or the specification is extended with a spatially lagged dependent variable. In particular, the author focuses on the specification and estimation of four panel data models commonly used in applied research: the fixed effects model, the random effects model, the fixed coefficients model, and the random coefficients model. The survey discusses the asymptotic properties of the estimators and provides guidance with respect to the estimation procedures, which should be useful for practitioners.
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Cites
Hsiao, C. (2014) · doi:10.1017/cbo9781139839327 · Cited by 7,869
Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data
Driscoll, J. C., & Kraay, A. C. (1998) · Review of Economics and Statistics · doi:10.1162/003465398557825 · Cited by 6,865
Estimating long-run relationships from dynamic heterogeneous panels
Pesaran, M. H., & Smith, R. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01644-f · Cited by 5,479 · cited 3×
“Schubert (1982) used this approach in building an interregional labor market model for Austria, and Murphy and Hofler (1984) used it for estimating a regional unemployment rate equation for the United States.”
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Cited by
Geospatial big data handling theory and methods: A review and research challenges
Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., et al. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.10.012 · Cited by 749
EDUCATION AND INCOME INEQUALITY IN THE REGIONS OF THE EUROPEAN UNION*
Rodríguez‐Pose, A., & Tselios, V. (2009) · Journal of Regional Science · doi:10.1111/j.1467-9787.2008.00602.x · Cited by 238
Measuring the green economic growth in China: Influencing factors and policy perspectives
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Liu, Y., Liu, S., Shao, X., & He, Y. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111779 · Cited by 204
Spatiotemporal Data Mining: A Computational Perspective
Shekhar, S., Jiang, Z., Ali, R., Eftelioglu, E., Tang, X., Gunturi, V., & Zhou, X. (2015) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi4042306 · Cited by 206
Metadata
- Authors
- Elhorst, J. P.
- Venue
- International Regional Science Review
- Publisher
- SAGE Publications
- Published
- 2003-07
- Volume
- 26
- Issue
- 3
- Pages
- 244-268
- ISSN
- 0160-0176 (ISSN-L)
- 1552-6925
- OpenAlex
- W2098212684
- Cited by
- 1,109
- References
- 3
- FWCI
- 28.63
- Type
- journal article
- Language
- en
- Open access
- closed
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