Discussion: Applications and Innovations in Spatial Econometrics
These articles provide a discussion of studies presented in a session on spatial econometrics, focusing on the ability of spatial regression models to quantify the magnitude of spatial spillover impacts. Both articles presented argue that a proper modeling of spatial spillovers is required to truly understand the phenomena under study, in one case the impact of climate change on land values (or crop yields) and in the second the role of regional industry composition on regional business establishment growth.
Volume (Year): 43 (2011)
Issue (Month): 03 (August)
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- G�ran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
- J. Barkley Rosser, 2009. "Introduction," Chapters, in: Handbook of Research on Complexity, chapter 1 Edward Elgar.
- Olivier Parent & James P. Lesage, 2010.
"A Spatial Dynamic Panel Model with Random Effects Applied to Commuting Times,"
University of Cincinnati, Economics Working Papers Series
2010-01, University of Cincinnati, Department of Economics.
- Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
- Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR & James P. LeSAGE, 2010.
"Interpreting Dynamic Space-Time Panel Data Models,"
800, Orleans Economic Laboratorys, University of Orleans.
- Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
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