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Nonparametric Estimation of the Spatial Connectivity Matrix Using Spatial Panel Data
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DOI：10.1111/j.1538-4632.2012.00851.x.png)
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We use moments from the covariance matrix for spatial panel data to estimate the parameters of the spatial autoregression model, including the spatial connectivity matrix W. In the unrestricted spatial autoregression model, the parameters are underidentified by one when W is symmetric. We show that a special case exists in which W is asymmetric and its parameters are exactly identified. If the panel data are stationary and ergodic, spatially and temporally, the estimates of W and the spatial autoregression coefficients are consistent. Spatial panel data for house prices in Israel are used to illustrate this methodology.
Keyword:
WEIGHTS MATRIX
UNIT ROOTS
期刊
IF:
4.3
论文数:
709
被引数:
4.7K
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ECONOMETRICA
ECONOMETRICAIF7.1
PREAI
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