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Interpretation and computation of estimates from regression models using spatial filtering

Pace, R. Kelley; Lesage, James P.; Zhu, Shuang - In: Spatial economic analysis : the journal of the Regional … 8 (2013) 3, pp. 352-369

Persistent link: https://www.econbiz.de/10010202704

The biggest myth in spatial econometrics

Lesage, James P.; Pace, R. Kelley - In: Econometrics : open access journal 2 (2014) 4, pp. 217-249

There is near universal agreement that estimates and inferences from spatial regression models are sensitive to particular specifications used for the spatial weight structure in these models. We find little theoretical basis for this commonly held belief, if estimates and inferences are based...

Persistent link: https://www.econbiz.de/10010479047

Spatial econometrics : qualitative and limited dependent variables

Baltagi, Badi H. (ed.); LeSage, James P. (ed.); … - 2017

Advances in Econometrics 37 highlights key research in econometrics in a user friendly way for economists who are not …Front Cover -- Spatial Econometrics: Qualitative and Limited Dependent Variables -- Copyright Page -- Contents -- List …

Persistent link: https://www.econbiz.de/10012684285

Introduction to spatial econometrics

Lesage, James P.; Pace, R. Kelley - 2009

Persistent link: https://www.econbiz.de/10003754054

Spatial econometrics: qualitative and limited dependent variables

Baltagi, Badi H. (ed.); Lesage, James P. (ed.); … - 2017 - First edition

Persistent link: https://www.econbiz.de/10011579704