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The relative efficiencies of various predictors in spatial econometric models containing spatial lags
Kelejian, Harry H.; Prucha, Ingmar R. - In: Regional science & urban economics 37 (2007) 3, pp. 363-374
Persistent link: https://www.econbiz.de/10003451584
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Moving to nice weather
Rappaport, Jordan; Prucha, Ingmar R. - In: Regional science & urban economics 37 (2007) 3, pp. 375-398
Persistent link: https://www.econbiz.de/10003451588
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Central limit theorems and uniform laws of large numbers for arrays of random fields
Jenish, Nazgul; Prucha, Ingmar R. - In: Journal of econometrics 150 (2009) 1, pp. 86-98
Persistent link: https://www.econbiz.de/10003847514
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Panel data models with spatially correlated error components
Kapoor, Mudit; Kelejian, Harry H.; Prucha, Ingmar R. - In: Journal of econometrics 140 (2007) 1, pp. 97-130
Persistent link: https://www.econbiz.de/10003579952
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HAC estimation in a spatial framework
Kelejian, Harry H.; Prucha, Ingmar R. - In: Journal of econometrics 140 (2007) 1, pp. 131-154
Persistent link: https://www.econbiz.de/10003579953
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R & D, production structure, and productivity growth in the U. S., Japanese and German manufacturing sectors
Mohnen, Pierre A.; Nadiri, Mohammed Ishaq; Prucha, Ingmar R. - 1984
Persistent link: https://www.econbiz.de/10003233577
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Dynamic spatial panel models : networks, common shocks, and sequential exogeneity
Kuersteiner, Guido M.; Prucha, Ingmar R. - 2015
This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...
Persistent link: https://www.econbiz.de/10011298538
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Special issue on spatial econometrics in honor of Ingmar Prucha
Baltagi, Badi H. (ed.); Arbia, Giuseppe (ed.);  … - 2018
Persistent link: https://www.econbiz.de/10011949734
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Dynamic Spatial Panel Models : Networks, Common Shocks, and Sequential Exogeneity
Kuersteiner, Guido M. - 2015
This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...
Persistent link: https://www.econbiz.de/10013018457
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A robust test for network generated dependence
Liu, Xiaodong; Prucha, Ingmar R. - In: Journal of econometrics 207 (2018) 1, pp. 92-113
Persistent link: https://www.econbiz.de/10012116126