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Discussion: Applications and Innovations in Spatial Econometrics

Published online by Cambridge University Press:  26 January 2015

James P. LeSage
James P. LeSage*
Affiliation:
Urban and Regional Economics, Department of Finance and Economics, Texas State University-San Marcos, San Marcos, Texas
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Abstract

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.

Keywords

lagged variablespanel dataspatial spilloversC33C51

Information

Type
Invited Paper Sessions
Information
Journal of Agricultural and Applied Economics , Volume 43 , Issue 3 , August 2011 , pp. 339 - 343
Copyright
Copyright © Southern Agricultural Economics Association 2011

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References

Debarsy, N., Ertur, C., and LeSage, J.P. “Interpreting Dynamic Space—Time Panel Data Models.” Statistical Methodology (2011).Google Scholar
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