Estimation problems in models with spatial weighting matrices which have blocks of equal elements

被引:41
作者
Kelejian, Harry H. [1 ]
Prucha, Ingmar R.
Yuzefovich, Yevgeny
机构
[1] Univ Maryland, Dept Econ, College Pk, MD 20742 USA
[2] Fannie Mae, Washington, DC USA
关键词
D O I
10.1111/j.1467-9787.2006.00449.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
Spatial models whose weighting matrices have blocks of equal elements might be considered if units are viewed as equally distant within certain neighborhoods, but unrelated between neighborhoods. We give exact small sample results for such models that contain a spatially lagged-dependent variable. We consider cases in which the data relate to one or more panels, for example, villages, schools, etc. Our results are consistent with large sample results given in Kelejian and Prucha (2002) but indicate a variety of issues they did not consider.
引用
收藏
页码:507 / 515
页数:9
相关论文
共 18 条
[11]   Generalized spatial two-stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances [J].
Kelejian, HH ;
Prucha, IR .
JOURNAL OF REAL ESTATE FINANCE AND ECONOMICS, 1998, 17 (01) :99-121
[12]   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
[13]  
Lee L., 2003, Econom. Rev, V22, P307, DOI DOI 10.1081/ETC-120025891
[14]   Consistency and efficiency of least squares estimation for mixed regressive, spatial autoregressive models [J].
Lee, LF .
ECONOMETRIC THEORY, 2002, 18 (02) :252-277
[15]  
Pinske J, 2002, ECONOMETRICA, V70, P1111
[16]  
Rey SJ., 2004, Advances in spatial econometrics, P99
[17]  
SPLITSTOSER G, 1999, SPATIAL MODEL LEGISL
[18]  
YUZEFOVICH Y, 2003, THESIS U MARYLAND