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A spatial Cliff-ord-type model with heteroskedastic innovations: small and large sample results
Arraiz, Irani; Drukker, David M.; Kelejian, Harry H.; … - 2008
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...
Persistent link: https://www.econbiz.de/10010264508
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A spatial Cliff-ord-type model with heteroskedastic innovations : small and large sample results
Arraiz, Irani; Drukker, David M.; Kelejian, Harry H.; … - 2008
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...
Persistent link: https://www.econbiz.de/10003792846
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A spatial Cliff-Ord-type model with heteroskedastic innovations : small and large sample results
Arraiz, Irani; Drukker, David M.; Kelejian, Harry H.; … - In: Journal of regional science 50 (2010) 2, pp. 592-614
Persistent link: https://www.econbiz.de/10003974238
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A Spatial Cliff-Ord-Type Model with Heteroskedastic Innovations : Small and Large Sample Results
Arraiz, Irani - 2008
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...
Persistent link: https://www.econbiz.de/10012768262
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Properties of tests for spatial dependence in linear regression models
Anselin, Luc - In: Geographical analysis : an international journal of … 23 (1991) 2, pp. 112-131
Persistent link: https://www.econbiz.de/10001103939
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Simple diagnostic tests for spatial dependence
Anselin, Luc (contributor) - In: Regional science & urban economics 26 (1996) 1, pp. 76-104
Persistent link: https://www.econbiz.de/10001197115