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  • Search: subject:"Errors in the variables"
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Year of publication
Subject
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Errors in the variables 2 Erreurs de mesure 1 Erreurs sur les variables 1 Higher moment estimators 1 Instrumental variable estimators 1 Jensen alpha 1 Measurement errors 1 Moments d'ordres supérieurs 1 Popper falsification 1 Variables instrumentales 1 cost of equity 1 cumulants 1 errors in the variables 1 falsification 1 higher moments 1 instrumental variables 1 scientific method 1 statistical validation 1 unobserved heterogeneity 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Language
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English 2 Undetermined 1
Author
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Coen, Alain 1 Dagenais, Denyse L. 1 Dagenais, Marcel 1 Racicot, Francois-Éric 1 Shugan, Steven M. 1
Institution
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Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 1 Départment des sciences administratives, Université du Québec en Outaouais (UQO) 1
Published in...
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CIRANO Working Papers 1 Marketing Science 1 RePAd Working Paper Series 1
Source
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RePEc 3
Showing 1 - 3 of 3
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A New Approach Based on Cumulants for Estimating Financial Regression Models with Errors in the Variables: the Fama and French Model Revisited
Coen, Alain; Racicot, Francois-Éric - Départment des sciences administratives, Université … - 2006
in the variables. To reduce the bias induced by measurement and specification errors, we transpose to the cost of equity …This paper proposes to revisit both the CAPM and the three-factor model of Fama and French (1993) in presence of errors …
Persistent link: https://www.econbiz.de/10005773131
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Editorial: Errors in the Variables, Unobserved Heterogeneity, and Other Ways of Hiding Statistical Error
Shugan, Steven M. - In: Marketing Science 25 (2006) 3, pp. 203-216
One research function is proposing new scientific theories; another is testing the falsifiable predictions of those theories. Eventually, sufficient observations reveal valid predictions. For the impatient, behold statistical methods, which attribute inconsistent predictions to either faulty...
Persistent link: https://www.econbiz.de/10008787852
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Higher Moment Estimators for Linear Regression Models With Errors in the Variables
Dagenais, Denyse L.; Dagenais, Marcel - Centre Interuniversitaire de Recherche en Analyse des … - 1995
), which is based on the sample moments of order two, is unbiased when there are no errors in the variables, but it becomes … previously in the literature [Geary (1942), Drion (1951), Durbin (1954), Pal (1980)] for regressions with errors in the variables … experimental findings suggest also that even if the sample is not very large, when the errors in the variables are non …
Persistent link: https://www.econbiz.de/10005168997
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