Spatial Econometric Analysis

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Presentation transcript:

Spatial Econometric Analysis 5 Kuan-Pin Lin Portland State Univerisity

Spatial Autoregressive Model with Autoregressive Disturbances SARAR(1,1) = SPLAG(1)+SPAR(1)

Spatial Autoregressive Model with Moving Average Disturbances SARMA(1,1) = SPLAG(1)+SPMA(1)

Spatial Autoregressive Model with ARMA Disturbances SARARMA(1,1,1) = SPLAG(1)+SPAR(1)+SPMA(1)

Model Estimation Maximum Likelihood Estimation Log-Likelihood Function SPLAG(1) + … J SPAR(1) (I-rW) SPMA(1) (I+qW)-1 SPARMA(1,1) (I+qW)-1(I-rW)

Model Estimation Maximum Likelihood Estimation Quasi Maximum Likelihood (QML) Estimator

Model Estimation SARAR(1,1)

Model Estimation SARAR(1,1): Generalized Method of Moments Moment Functions (Kelejian and Prucha, 1998, 2009)

Model Estimation SARAR(1,1): Generalized Method of Moments Sample moment functions are the same two equations of one parameter r as in the spatial error AR(1) model. The efficient GMM estimator follows exactly the same as the spatial error AR(1) model with the IV estimator of the spatial lag model.

Model Estimation SARAR(1,1) The Model Estimate l, b and r simultaneously: QML Estimate l, b and r iteratively: IV/GMM/GLS IV or 2SLS GMM GLS

Crime Equation Anselin (1988) SARAR(1) Model (Crime Rate) = a + b (Family Income) + g (Housing Value) + + l W (Crime rate) + e , e = r We + u GMM vs. QML Estimator GMM Parameter GMM s.e QML Parameter QML l 0.45602 0.17491 0.36806 0.14947 r -0.1221 0.13571 0.16669 0.17286 b -1.0438 0.37611 -1.0259 0.44610 g -0.2537 0.08706 -0.28165 0.18534 a 43.916 10.738 47.784 6.9048 Q/L 2.6706 -182.23

Applications Geographically Weighted Regression (GWR) Spatial Heterogeneity Spatial Autocorrelation Limited Dependent Variables Spatial Probit and Spatial Tobit Models Spatial Inference Spatial Prediction Best Predictors Spatial Model Comparison

References K.P. Bell, N.E. Bockstael, 2000, Applying the Generalized-Moments Estimation to Spatial Problems Involving Microlevel Daqta, Review of Economic s and Statistics, 82, 72-82. H. Kelejian, and I. R. Prucha, 2010, Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances. Journal of Econometrics, 157, 53-67. Das, D., H. Kelejian, and I.R. Prucha, 2003. Small Sample Properties of Estimators of Spatial Autoregressive Models with Autoregressive Disturbances. Papers in Regional Science, 82, 1-26. L.F. Lee, 2007. GMM and 2SLS Estimation of Mixed Regressive Spatial Autoregressive Models. Journal of Econometrics, 137, 489-514.