Group Interaction in Research and the Use of General Nesting Spatial Models
In: Spatial Econometrics: Qualitative and Limited Dependent Variables
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DOI: 10.1108/S0731-905320160000037016
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- Peter Burridge & J. Paul Elhorst & Katarina Zigova, 2014. "Group Interaction in Research and the Use of General Nesting Spatial Models," Working Paper Series of the Department of Economics, University of Konstanz 2014-19, Department of Economics, University of Konstanz.
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- Wang, Jian & Wu, Qun & Yan, Siqi & Guo, Guancheng & Peng, Shangui, 2020. "China’s local governments breaking the land use planning quota: A strategic interaction perspective," Land Use Policy, Elsevier, vol. 92(C).
- Fernando A. López & Pedro J. Martínez-Ortiz & Juan-Gabriel Cegarra-Navarro, 2017. "Spatial spillovers in public expenditure on a municipal level in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 39-65, January.
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More about this item
Keywords
Spatial econometrics; identification; heteroskedasticity; group fixed effects; interaction effects; research productivity; C21; D85; I23; J24;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- D8 - Microeconomics - - Information, Knowledge, and Uncertainty
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
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