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Title:A spatial Cliff-ord-type model with heteroskedastic innovations: small and large sample results PDF Logo
Authors:Arraiz, Irani
Drukker, David M.
Kelejian, Harry H.
Prucha, Ingmar R.
Issue Date:2008
Series/Report no.:CESifo working paper 2485
Abstract:In this paper we specify a linear Cliff and Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate a multi-step GMM/IV type estimation procedure for the parameters of the model. We then establish the limiting distribution of our suggested estimators, and give consistent estimators for their asymptotic variance covariance matrices, utilizing results given in Kelejian and Prucha (2007b). Monte Carlo results are given which suggest that the derived large sample distribution provides a good approximation to the actual small sample distribution of our estimators.;
JEL:C21
C31
Document Type:Working Paper
Appears in Collections:CESifo Working Papers, CESifo Group Munich

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