2005
DOI: 10.1111/j.0008-4085.2005.00325.x
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What drives the cross‐country growth and inequality correlation?

Abstract: We present a neo-classical model that explores the determinants of growthinequality correlation and attempts to reconcile the seemingly conflicting evidence on the nature of the growth-inequality relationship. The initial distribution of human capital determines the long-run income distribution and the growth rate by influencing the occupational choice of the agents. The steady-state proportion of adults that innovates and updates human capital is path dependent. The output elasticity of skilled-labour, barrie… Show more

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Cited by 18 publications
(15 citation statements)
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References 29 publications
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“…If adults undertake no investment in their child's education, for instance, unlike Benabou (2000), the child still inherits some workable human capital in proportion to (1 )h it . Viewed from this perspective, one may think of 1 as the degree of intergenerational spillover of knowledge as in Mankiw et al (1992) and Bandyopadhyay and Basu (2005).…”
Section: Technology Of Human Capital Productionmentioning
confidence: 99%
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“…If adults undertake no investment in their child's education, for instance, unlike Benabou (2000), the child still inherits some workable human capital in proportion to (1 )h it . Viewed from this perspective, one may think of 1 as the degree of intergenerational spillover of knowledge as in Mankiw et al (1992) and Bandyopadhyay and Basu (2005).…”
Section: Technology Of Human Capital Productionmentioning
confidence: 99%
“…The residual inequality is then mostly attributed to luck. Since then a considerable body of literature (e.g., Loury, 1981, Banerjee and Newman, 1993, Galore and Zeira, 1993, Benabou, 1996, Mulligan, 1997, Bandyopadhyay and Basu, 2005, Bandyopadhyay and Tang, 2011 has evolved emphasizing the role of credit market imperfection in perpetuating the inequality.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, when human capital accumulation is the driving force of growth, inequality lowers growth by exacerbating the effect of credit constraints on human capital accumulation. Conversely, Bandyopadhyay and Basu (2005) predict that owing to differences in technology and policy parameters, a positive correlation should arise for the group of industrial countries, whereas a negative correlation should arise for the group of non-industrial countries. Given that growth engine, technology parameters, and policy parameters may change as the economy advances along the development process, inequality could impede growth in one income regime while accelerate growth in another, rendering the use of a linear specification questionable.…”
Section: Introductionmentioning
confidence: 95%
“…Galor and Tsiddon (1997), Galor (2000), and Galor and Moav (2004) posit that the prime engine of growth is a critical determinant of whether inequality is harmful or beneficial for growth. Bandyopadhyay and Basu (2005) propose a general equilibrium growth model in which the inequality-growth correlation depends on the nature of technology and the extent of redistribution. They show that a positive inequality-growth correlation arises in economies with low barriers to knowledge spillover, high skill intensity in the technology, and high degree of redistribution.…”
Section: Introductionmentioning
confidence: 99%
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