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  • Search: subject:"regression estimates"
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Year of publication
Subject
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spatial regression estimates 4 indirect effects 3 sensitivity to spatial weights 3 Regional economics 2 Regionalökonomik 2 Räumliche Verteilung 2 Spatial distribution 2 Auslandsinvestition 1 Econometrics 1 Estimation 1 Estimation theory 1 Foreign investment 1 MENA countries 1 MENA-Staaten 1 Regression analysis 1 Regressionsanalyse 1 Räumliche Interaktion 1 Schätztheorie 1 Schätzung 1 Social and Behavioral Sciences 1 Spatial interaction 1 Spillover effect 1 Spillover-Effekt 1 conflict 1 greenfield FDI 1 regression estimates 1 sample distribution 1 spillover effects 1 Ökonometrie 1
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Online availability
All
Free 5
Type of publication
All
Article 3 Book / Working Paper 2
Type of publication (narrower categories)
All
Arbeitspapier 1 Article 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 3 Undetermined 2
Author
All
Pace, R. Kelley 3 LeSage, James P. 2 Alaya, Marouane 1 Carlson, Daryl 1 Lesage, James P. 1 Rosenberg, Barr 1
Institution
All
Institute of Business and Economic Research (IBER), Walter A. Haas School of Business 1
Published in...
All
Econometrics 2 Department of Economics, Working Paper Series 1 ERF working papers series : working paper 1 Econometrics : open access journal 1
Source
All
ECONIS (ZBW) 2 RePEc 2 EconStor 1
Showing 1 - 5 of 5
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A spatio-temporal analysis of FDI-conflict nexus in MENA region
Alaya, Marouane - 2024
Persistent link: https://www.econbiz.de/10015085213
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The biggest myth in spatial econometrics
LeSage, James P.; Pace, R. Kelley - In: Econometrics 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/10011755268
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The Biggest Myth in Spatial Econometrics
LeSage, James P.; Pace, R. Kelley - In: Econometrics 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/10011105154
Saved in:
Cover Image
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
Saved in:
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The Sampling Distribution of the Least Absolute Residuals Regression Estimates
Rosenberg, Barr; Carlson, Daryl - Institute of Business and Economic Research (IBER), … - 1971
Persistent link: https://www.econbiz.de/10010677959
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