TY - JOUR
T1 - Under the hood issues in the specification and interpretation of spatial regression models
AU - Anselin, Luc
N1 - Funding Information:
This research was supported in part by NSF Grant BCS-9978058 to the Center for Spatially Integrated Social Science (CSISS) and by NSF/EPA Grant SES-0084213. Parts of the paper were presented earlier at the Pre-Conference Workshop on Spatial Analysis, Annual Meetings of the American Agricultural Economics Association, Chicago, IL, the ICPSR Summer Workshop on Spatial Regression, Ann Arbor, MI, the Joseph Havlicek Jr. Memorial Lecture in Applied Econometrics, The Ohio State University, Columbus, OH, and short courses at the Wharton School, University of Pennsylvania, Philadelphia, PA, and the University at Albany, Albany, NY. Comments, questions and suggestions from the participants at these presentations contributed to refining the arguments outlined in the paper and are greatly appreciated.
PY - 2002/11
Y1 - 2002/11
N2 - This paper reviews a number of conceptual issues pertaining to the implementation of an explicit "spatial" perspective in applied econometrics. It provides an overview of the motivation for including spatial effects in regression models, both from a theory-driven as well as from a data-driven perspective. Considerable attention is paid to the inferential framework necessary to carry out estimation and testing and the different assumptions, constraints and implications embedded in the various specifications available in the literature. The review combines insights from the traditional spatial econometrics literature as well as from geostatistics, biostatistics and medical image analysis.
AB - This paper reviews a number of conceptual issues pertaining to the implementation of an explicit "spatial" perspective in applied econometrics. It provides an overview of the motivation for including spatial effects in regression models, both from a theory-driven as well as from a data-driven perspective. Considerable attention is paid to the inferential framework necessary to carry out estimation and testing and the different assumptions, constraints and implications embedded in the various specifications available in the literature. The review combines insights from the traditional spatial econometrics literature as well as from geostatistics, biostatistics and medical image analysis.
KW - Model specification
KW - Spatial autocorrelation
KW - Spatial econometrics
KW - Spatial processes
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U2 - 10.1016/S0169-5150(02)00077-4
DO - 10.1016/S0169-5150(02)00077-4
M3 - Article
AN - SCOPUS:0036862865
SN - 0169-5150
VL - 27
SP - 247
EP - 267
JO - Agricultural Economics
JF - Agricultural Economics
IS - 3
ER -