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固定效应空间误差分量模型的空间相关性检验
引用本文:龙志和,陈青青,林光平.固定效应空间误差分量模型的空间相关性检验[J].经济数学,2011(4):79-85.
作者姓名:龙志和  陈青青  林光平
作者单位:华南理工大学经济与贸易学院;波特兰州立大学经济系
基金项目:国家自然科学基金项目(71071060)
摘    要:本文研究固定效应设定下,空间误差分量(Spatial Error Components,SEC)模型的空间相关性边际检验、条件检验和转换检验.Monte Carlo模拟实验证明,转换检验有更小的水平扭曲和优越的检验功效,且不受固定效应大小影响,是经济计量实证中理想的检验统计量;转换检验有限样本性质受空间权重矩阵的选取和...

关 键 词:误差分量模型  固定效应  空间相关性  Monte  Carlo模拟

Spatial Correlation Tests of Fixed Effect Spatial Error Components Model
LONG Zhi-he,CHEN Qing-qing,LIN Guang-ping.Spatial Correlation Tests of Fixed Effect Spatial Error Components Model[J].Mathematics in Economics,2011(4):79-85.
Authors:LONG Zhi-he  CHEN Qing-qing  LIN Guang-ping
Institution:1.School of Economic and Commerce of South China University of Technology,Guangzhou,Guangdong 510006;2.Economic Department of Portland State University,97207,U.S.A.)
Abstract:We studied spatial correlation tests of fixed effect spatial error components (SEC) model, including marginal tests, conditional tests and transformed tests. Monte Carlo simulation experiments prove that transformed tests have smaller level tortuosity and predominant power; what's more, they will not be affected by fixed effect, and these advantages make them perfect tests in practical econometric analysis. The small sample performance of transformed tests will be affected slightly by spatial weight matrixes and N/T. Queen-Type matrixes and larger sample will increase power of marginal tests, but they lead to larger level tortuosity.
Keywords:spatial error components model  fixed effect  spatial correlation  Monte Carlo simulation
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