Journal of Quantitative Economics

, Volume 17, Issue 3, pp 477–512 | Cite as

Gini-PLS Regressions

  • Stéphane MussardEmail author
  • Fattouma Souissi-Benrejab
Original Article


Data contamination and excessive correlations between regressors (multicollinearity) constitute a standard and major problem in econometrics. Two techniques enable solving these problems, in separate ways: the Gini regression for the former, and the PLS (partial least squares) regression for the latter. Gini-PLS regressions are proposed in order to treat extreme values and multicollinearity simultaneously.


Gini covariance Gini regression Gini-PLS regressions PLS regression 

JEL Classification

C3 C8 


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Copyright information

© The Indian Econometric Society 2018

Authors and Affiliations

  • Stéphane Mussard
    • 1
    • 2
    • 3
    • 4
    Email author
  • Fattouma Souissi-Benrejab
    • 5
    • 6
  1. 1.Chrome Université de NîmesNîmesFrance
  2. 2.MRE University of MontpellierMontpellierFrance
  3. 3.GrEdi University of SherbrookeQuebecCanada
  4. 4.Liser LuxembourgEsch-sur-AlzetteLuxembourg
  5. 5.Université Montpellier 1, UMR5474 LAMETAMontpellierFrance
  6. 6.Faculté d’EconomieMontpellier CedexFrance

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