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Multicollinearity in cross-sectional regressions
Journal of Geographical Systems, 2006The paper examines robustness of results from cross-sectional regression paying attention to the impact of multicollinearity. It is well known that the reliability of estimators (least-squares or maximum-likelihood) gets worse as the linear relationships between the regressors become more acute.
Jørgen Lauridsen, Jesús Mur
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Multicollinearity: A Bayesian Interpretation
The Review of Economics and Statistics, 1973T HE problem of collinear data sets in the context of the univariate multiple regression model has generated a confusing array of papers, comments and footnotes. Perusal of this literature does not lead the reader to conclude that the problem has even been rigorously defined.
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Multivariate Behavioral Research, 2010
Due to its extensive applicability and computational ease, moderated multiple regression (MMR) has been widely employed to analyze interaction effects between 2 continuous predictor variables. Accordingly, considerable attention has been drawn toward the supposed multicollinearity problem between predictor variables and their cross-product term.
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Due to its extensive applicability and computational ease, moderated multiple regression (MMR) has been widely employed to analyze interaction effects between 2 continuous predictor variables. Accordingly, considerable attention has been drawn toward the supposed multicollinearity problem between predictor variables and their cross-product term.
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Assessment of Multicollinearity
Sociological Methods & Research, 1975Interdependence among explanatory variables is a common condition for sociological analyses. It may markedly affect the stability of estimates of parameters obtained from least-squares regression. Multicollinearity is viewed as a problem which poses two questions for the analyst: how severe is the multicollinearity and what is its effect on the ...
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A Bayesian solution to multicollinearity through unobserved common factors
Tourism Management, 2021Mike Tsionas, Albert Assaf
exaly
Dealing with Multicollinearity in Factor Analysis: The Problem, Detections, and Solutions
Open Journal of Statistics, 2023Theodoros Kyriazos
exaly
Detecting Multicollinearity in Regression Analysis
American Journal of Applied Mathematics and Statistics, 2020Noora Shrestha
exaly

