Geographically weighted regression bandwidth selection and spatial autocorrelation: an empirical example using Chinese agriculture data

被引:44
作者
Cho, Seong-Hoon [1 ]
Lambert, Dayton M. [1 ]
Chen, Zhuo [2 ]
机构
[1] Univ Tennessee, Dept Agr Econ, Knoxville, TN 37996 USA
[2] Univ Chicago, Chicago Ctr Excellence Hlth Promot Econ, Atlanta, GA 30329 USA
关键词
GENERAL FRAMEWORK; MODELS; INFERENCE; TESTS;
D O I
10.1080/13504850802314452
中图分类号
F [经济];
学科分类号
02 ;
摘要
This research note examined the performance of Geographically Weighted Regression (GWR) using two calibration methods. The first method, Cross Validation (CV), has been commonly used in the applied literature using GWR. A second criterion selected an optimal bandwidth that corresponded with the smallest spatial error Lagrange Multiplier (LM) test statistic. We find that there is a tradeoff between addressing spatial autocorrelation and reducing degree of extreme coefficients in GWR. Although spatial autocorrelation can be controlled for by using the LM criterion, a substantial degree of extreme coefficients may remain. However, while the CV approach appears to be less prone to producing extreme coefficients, it may not always attend to the problems that arise in the presence of spatial error autocorrelation.
引用
收藏
页码:767 / 772
页数:6
相关论文
共 27 条
[1]  
Allen R. G., 1998, FAO Irrigation and Drainage Paper
[2]   Some notes on parametric significance tests for geographically weighted regression [J].
Brunsdon, C ;
Fotheringham, AS ;
Charlton, M .
JOURNAL OF REGIONAL SCIENCE, 1999, 39 (03) :497-524
[3]   Geographically weighted regression: A method for exploring spatial nonstationarity [J].
Brunsdon, C ;
Fotheringham, AS ;
Charlton, ME .
GEOGRAPHICAL ANALYSIS, 1996, 28 (04) :281-298
[4]  
Cameron A. C., 2005, Microeconometrics: Methods and Applications
[5]  
CHO S, 2009, PROGR SPATIAL ANAL T
[6]   Spatial structure of agricultural production in China [J].
Cho, Seong-Hoon ;
Chen, Zhuo ;
Poudyal, Neelam C. .
APPLIED ECONOMICS, 2010, 42 (16) :2031-2040
[7]   ROBUST LOCALLY WEIGHTED REGRESSION AND SMOOTHING SCATTERPLOTS [J].
CLEVELAND, WS .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (368) :829-836
[8]   LOCALLY WEIGHTED REGRESSION - AN APPROACH TO REGRESSION-ANALYSIS BY LOCAL FITTING [J].
CLEVELAND, WS ;
DEVLIN, SJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1988, 83 (403) :596-610
[9]  
Deller S., 2007, Agricultural and Resource Economics Review, V36, P107
[10]   A systematic investigation of cross-validation in GWR model estimation:: empirical analysis and Monte Carlo simulations [J].
Farber, Steven ;
Paez, Antonio .
JOURNAL OF GEOGRAPHICAL SYSTEMS, 2007, 9 (04) :371-396