Specification and estimation of spatial panel data models

被引:770
作者
Elhorst, JP [1 ]
机构
[1] Univ Groningen, Fac Econ, NL-9700 AB Groningen, Netherlands
关键词
panel data; spatial dependence; maximum likelihood technique; spatial heterogeneity; spatial econometrics;
D O I
10.1177/0160017603253791
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This article provides a survey of the specification and estimation of spatial panel data models. These models include spatial error autocorrelation, or the specification is extended with a spatially lagged dependent variable. In particular, the author focuses on the specification and estimation of four panel data models commonly used in applied research: the fixed effects model, the random effects model, the fixed coefficients model, and the random coefficients model. The survey discusses the asymptotic properties of the estimators and provides guidance with respect to the estimation procedures, which should be useful for practitioners.
引用
收藏
页码:244 / 268
页数:25
相关论文
共 52 条
[31]   A generalized moments estimator for the autoregressive parameter in a spatial model [J].
Kelejian, HH ;
Prucha, IR .
INTERNATIONAL ECONOMIC REVIEW, 1999, 40 (02) :509-533
[32]   RANDOM PARAMETERS IN A SIMULTANEOUS EQUATION FRAMEWORK - IDENTIFICATION AND ESTIMATION [J].
KELEJIAN, HH .
ECONOMETRICA, 1974, 42 (03) :517-527
[33]   2SLS and OLS in a spatial autoregressive model with equal spatial weights [J].
Kelejian, HH ;
Prucha, IR .
REGIONAL SCIENCE AND URBAN ECONOMICS, 2002, 32 (06) :691-707
[34]  
LEE LF, 2001, ASYMPTOTIC DISTRIBUT, V2
[35]  
LEE LF, 2001, ASYMPTOTIC DISTRIBUT, V1
[36]  
LINDSTROM MJ, 1988, J AM STAT ASSOC, V83, P1014
[37]  
Longford NT., 1993, RANDOM COEFFICIENT M
[39]   Unit roots and deterministic trends in spatial econometric models [J].
Mur, J ;
Trívez, FJ .
INTERNATIONAL REGIONAL SCIENCE REVIEW, 2003, 26 (03) :289-312
[40]   DETERMINANTS OF GEOGRAPHIC UNEMPLOYMENT RATES - A SELECTIVELY POOLED SIMULTANEOUS MODEL [J].
MURPHY, KJ ;
HOFLER, RA .
REVIEW OF ECONOMICS AND STATISTICS, 1984, 66 (02) :216-223