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Estimating economic impact using ex post econometric analysis : cautionary tales
Baumann, Robert; Matheson, Victor A. - 2011
Persistent link: https://www.econbiz.de/10010436918
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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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Mind the gap : accounting for measurement error and misclassification in variables generated via data mining
Yang, Mochen; Adomavicius, Gediminas; Burtch, Gordon; … - In: Information systems research : ISR 29 (2018) 1, pp. 4-24
Persistent link: https://www.econbiz.de/10011866140
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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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Historical econometrics : instrumental variables and regression discontinuity designs
Caicedo, Felipe Valencia - 2020
Persistent link: https://www.econbiz.de/10012299251
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Introductory business & economic forecasting
Newbold, Paul; Bos, Theodore - 1994 - 2. ed.
Persistent link: https://www.econbiz.de/10000887984
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Econometric model. - 1992. - II, 71 S.
Willett, Lois Schertz - 1992
Persistent link: https://www.econbiz.de/10000890729
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Statistical model selection rules
Casteren, Pieter H. van - 1994
Persistent link: https://www.econbiz.de/10000892568
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Simplicity, scientific inference and econometric modelling
Keuzenkamp, Hugo A.; McAleer, Michael - 1994
Persistent link: https://www.econbiz.de/10000894088