C82;
D63;
I3;
O15;
O52;
economic growth;
multidimensional index;
social exclusion;
three-mode principal components analysis;
PRINCIPAL COMPONENT ANALYSIS;
PANEL-DATA MODELS;
INCOME-DISTRIBUTION;
INEQUALITY HARMFUL;
DYNAMIC-MODELS;
DEPRIVATION;
POVERTY;
TESTS;
BIAS;
GMM;
D O I:
10.1111/roiw.12096
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
The aims of this article are to propose an overall index of social exclusion and to analyze its relationship with economic growth in European countries. We approach social exclusion as a multidimensional phenomenon by a three-mode principal components analysis (Tucker3 model). This method is applied to estimate an indicator of social exclusion for 28 European countries between 1995 and 2010. The empirical evidence shows that in the short run: (1) Granger causality runs one way from social exclusion to economic growth and not the other way; (2) countries with a higher level of social exclusion have higher growth rates of real GDP per capita; and (3) social exclusion has a larger effect than income inequality on economic growth. The policy implication of our analysis is that social inclusion is not a source of economic growth in the short term.
机构:
Univ Oxford, Oxford Poverty &Human Dev Initiat OPHI, Oxford Dept Int Dev, Oxford OX1 3TB, EnglandGeorge Washington Univ, Elliott Sch Int Affairs, Washington, DC 20052 USA
机构:
Univ Oxford, Oxford Poverty &Human Dev Initiat OPHI, Oxford Dept Int Dev, Oxford OX1 3TB, EnglandGeorge Washington Univ, Elliott Sch Int Affairs, Washington, DC 20052 USA