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Spatial econometrics : qualitative and limited dependent variables
Fomby, Thomas B.; Escanciano, Juan Carlos; Hillebrand, Eric - 2016
Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that … useful in their research. Volume 37 exemplifies this focus by highlighting key research from new developments in econometrics. …
Persistent link: https://www.econbiz.de/10012050397
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Spatial and spatiotemporal econometrics
LeSage, James P. (contributor); Pace, R. Kelley (contributor) - 2004
econometrics provide details regarding estimation and inference based on a variety of econometric methods including, maximum …Introduction / James P. LeSage, R. Kelley Pace -- Bayesian model choice in spatial econometrics / Leslie W. Hepple -- A … of spatial econometrics provide details regarding estimation and inference based on a variety of econometric methods …
Persistent link: https://www.econbiz.de/10011905385
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Spatial and spatiotemporal econometrics
Lesage, James P. (ed.); Pace, R. Kelley (ed.) - 2004 - 1. ed
Persistent link: https://www.econbiz.de/10002259741
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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
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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
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Spatial Econometric Monte Carlo Studies : Raising the Bar
LeSage, James P. - 2017
We discuss Monte Carlo methodology that can be used to explore alternative approaches to estimating spatial regression models. Our focus is on models that include spatial lags of the dependent variable, e.g., the SAR specification: y = ρ W y X β Ε. A major point is that following publication...
Persistent link: https://www.econbiz.de/10012959207
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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
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The Biggest Myth in Spatial Econometrics
LeSage, James P.; Pace, R. Kelley - 2010
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/10014188190
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Introduction to spatial econometrics
Lesage, James P.; Pace, R. Kelley - 2009
Persistent link: https://www.econbiz.de/10003754054
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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