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Multicollinearity: Effects, Symptoms, And Remedies

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  • Willis, Cleve E.
  • Perlack, Robert D.

Abstract

Multicollinearity is one of several problems confronting researchers using regression analysis. This paper examines the regression model when the assumption of independence among Ute independent variables is violated. The basic properties of the least squares approach are examined, the concept of multicollinearity and its consequences on the least squares estimators are explained. The detection of multicollinearity and alternatives for handling the problem are then discussed. The alternative approaches evaluated are variable deletion, restrictions on the parameters, ridge regression and Bayesian estimation.

Suggested Citation

  • Willis, Cleve E. & Perlack, Robert D., 1978. "Multicollinearity: Effects, Symptoms, And Remedies," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 7(1), pages 1-7, April.
  • Handle: RePEc:ags:nareaj:159045
    DOI: 10.22004/ag.econ.159045
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    1. S. Roy Chowdhury & Vishnuprasad Nagadevara & Earl O. Heady, 1975. "A Bayesian Application on Cobb-Douglas Production Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(2), pages 361-363.
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    3. T. Dudley Wallace, 1977. "Pretest Estimation in Regression: A Survey," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(3), pages 431-443.
    4. McCallum, B T, 1970. "Artificial Orthogonalization in Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 52(1), pages 110-113, February.
    5. White, Kenneth J, 1978. "A General Computer Program for Econometric Methods-Shazam," Econometrica, Econometric Society, vol. 46(1), pages 239-240, January.
    6. William G. Brown & Bruce R. Beattie, 1975. "Improving Estimates of Economic Parameters by Use of Ridge Regression with Production Function Applications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(1), pages 21-32.
    7. John P. Doll, 1974. "On Exact Multicollinearity and the Estimation of the Cobb-Douglas Production Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(3), pages 556-563.
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    Cited by:

    1. Yanagida, John F. & Conway, Roger K., 1979. "An Examination Of Demand Functions For Beef, Pork, And Broilers," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-14, October.
    2. Habib-ur Rahman & Muhammad Waqas Yousaf & Nageena Tabassum, 2020. "Bank-Specific and Macroeconomic Determinants of Profitability: A Revisit of Pakistani Banking Sector under Dynamic Panel Data Approach," IJFS, MDPI, vol. 8(3), pages 1-19, July.
    3. Morzuch, Bernard J., 1980. "Principal Components And The Problem Of Multicollinearity," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 1), pages 1-3, April.
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    7. Morzuch, Bernard J., 1980. "Principal Components And The Problem Of Multicollinearity," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 9(1), pages 1-3, April.
    8. Yanagida, John F. & Conway, Roger K., 1979. "An Examination Of Demand Functions For Beef, Pork, And Broilers," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 8(2), pages 1-14, October.

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