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Article citations


Tenenhaus, M., Vinzi, V.E., Chatelin, Y.M. and Lauro, C. (2005) PLS Path Modeling. Computational Statistics & Data Analysis, 48, 159-205.

has been cited by the following article:

  • TITLE: The Capability Approach and Evaluation of the Well-Being in Senegal: An Operationalization with the Structural Equations Models

    AUTHORS: Felwine Sarr, Muhammad Ba

    KEYWORDS: Capabilities Approach, Well-Being, Structural Equations Models (SEM), Partial Linear Square-Path Modeling (PLS-PM)

    JOURNAL NAME: Modern Economy, Vol.8 No.1, January 20, 2017

    ABSTRACT: This article uses the theoretical framework of the capabilities approach to offer a structural assessment model of well-being in the context of Senegal. To this end, we mobilize the Senegalese data (ESPS-II) and an evaluation space including basic and central capabilities of [1] and [2], which are: living conditions, education and health body, non-institutional support and good governance, on the one hand, and the three dimensions of well-being (economic well-being, life satisfaction and subjective well-being), on the other hand. With the modeling technique by structural equations: PLS-PM (Partial Linear Square-Path Modeling), we find that the estimation model of well-being has built good predictive quality. In addition, it shows that the basic capabilities (education, living conditions and health of the body) positively determine well-being (economic well-being, subjective well-being and life satisfaction). Also, economic well-being and life satisfaction positively predict and cause subjective well-being. Contrariwise, non-institutional support and good governance do not significantly cause subjective well-being. Between these two capabilities, only good governance has a significant and positive effect on life satisfaction.