The spatial time lag in panel data models
AbstractThis paper proposes to include the spatial time lag in empirical applications using spatial panel data models, and also explains why the coefficient of that term can be negative. We provide simple theoretical frameworks to justify the relevance of the spatial time lag to empirical specifications, which can be caused by either partial adjustments or inter-temporal budget constraints. Monte Carlo experiments suggest that omitting a relevant spatial time lag can result in significant biases in regression estimates, while including an irrelevant spatial time lag causes no obvious loss of efficiency.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 117 (2012)
Issue (Month): 3 ()
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Web page: http://www.elsevier.com/locate/ecolet
Spatial time lag; Spatial autoregression; Dynamic panels; Expenditures;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
- H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
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