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The raise method. An alternative procedure to estimate the parameters in presence of collinearity

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  • Catalina Garcia
  • José Pérez
  • José Liria

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  • Catalina Garcia & José Pérez & José Liria, 2011. "The raise method. An alternative procedure to estimate the parameters in presence of collinearity," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 403-423, February.
    • Handle: RePEc:spr:qualqt:v:45:y:2011:i:2:p:403-423
    DOI: 10.1007/s11135-009-9305-0
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    References listed on IDEAS

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    1. Jørgen Lauridsen & Jesùs Mur, 2006. "Multicollinearity in cross-sectional regressions," Journal of Geographical Systems, Springer, vol. 8(4), pages 317-333, October.
    2. Fourgeaud, C. & Gourieroux, C. & Pradel, J., 1984. "Some theoretical results for generalized ridge regression estimators," Journal of Econometrics, Elsevier, vol. 25(1-2), pages 191-203.
    3. Scott, John T, Jr, 1969. "Factor Analysis Regression Revisited," Econometrica, Econometric Society, vol. 37(4), pages 719-719, October.
    4. 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.
    5. Feng-Jenq Lin, 2008. "Solving Multicollinearity in the Process of Fitting Regression Model Using the Nested Estimate Procedure," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(3), pages 417-426, June.
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    Cited by:

    1. Román Salmerón Gómez & Ainara Rodríguez Sánchez & Catalina García García & José García Pérez, 2020. "The VIF and MSE in Raise Regression," Mathematics, MDPI, vol. 8(4), pages 1-28, April.
    2. Jinse Jacob & R. Varadharajan, 2023. "Simultaneous raise regression: a novel approach to combating collinearity in linear regression models," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4365-4386, October.
    3. Román Salmerón Gómez & Catalina García García & José García Pérez, 2020. "Detection of Near-Nulticollinearity through Centered and Noncentered Regression," Mathematics, MDPI, vol. 8(6), pages 1-17, June.
    4. Massimiliano Giacalone & Demetrio Panarello & Raffaele Mattera, 2018. "Multicollinearity in regression: an efficiency comparison between Lp-norm and least squares estimators," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1831-1859, July.

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