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Correcting misclassification bias in regression models with variables generated via data mining
Qiao, Mengke; Huang, Ke-Wei - In: Information systems research : ISR 32 (2021) 2, pp. 462-480
Persistent link: https://www.econbiz.de/10012599859
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Conceptual understanding of linear regression among economics students at the university center of Tipaza, Algeria
Idris, Djouahra - In: Croatian review of economic, business and social … 8 (2022) 2, pp. 66-83
Solving problems related to econometrics requires a good knowledge of regression analysis concepts. The objective of …
Persistent link: https://www.econbiz.de/10014287694
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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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Cleaning up the kitchen sink : specification tests and average derivative estimators for growth econometrics
Rodríguez, Francisco; Shelton, Cameron A. - In: Journal of macroeconomics 38 (2013) 2, pp. 260-273
Persistent link: https://www.econbiz.de/10010372013
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Improved GMM estimation of random effects panel data models with spatially correlated error components
Arnold, Matthias; Wied, Dominik - In: Papers in regional science : the journal of the … 93 (2014) 1, pp. 77-99
Persistent link: https://www.econbiz.de/10010478064
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Small-sample inference with spatial HAC estimators
Dorn, Sabrina; Egger, Peter - In: Economics letters 125 (2014) 2, pp. 236-239
Persistent link: https://www.econbiz.de/10010505357
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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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On the use of robust regression in econometrics
Baldauf, Markus; Silva, João Santos - In: Economics letters 114 (2012) 1, pp. 124-127
Persistent link: https://www.econbiz.de/10009517264
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Impossible inference in econometrics : theory and applications
Bertanha, Marinho; Moreira, Marcelo J. - In: Journal of econometrics 218 (2020) 2, pp. 247-270
Persistent link: https://www.econbiz.de/10012483000
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Ill-posed estimation in high-dimensional models with instrumental variables
Breunig, Christoph; Mammen, Enno; Simoni, Anna - In: Journal of econometrics 219 (2020) 1, pp. 171-200
Persistent link: https://www.econbiz.de/10012483200