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What drives the cross‐country growth and inequality correlation?
Author(s) -
Bandyopadhyay Debasis,
Basu Parantap
Publication year - 2005
Publication title -
canadian journal of economics/revue canadienne d'économique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 69
eISSN - 1540-5982
pISSN - 0008-4085
DOI - 10.1111/j.0008-4085.2005.00325.x
Subject(s) - inequality , output elasticity , economics , redistribution (election) , human capital , positive correlation , distribution (mathematics) , income distribution , economic inequality , negative correlation , econometrics , correlation , developing country , labour economics , demographic economics , microeconomics , production (economics) , mathematics , economic growth , medicine , mathematical analysis , politics , political science , law , geometry
. We present a neo‐classical model that explores the determinants of growth‐inequality 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, barriers to knowledge spillovers, and the degree of redistribution determine the range of steady‐state equilibria. From a calibration experiment we report that a skill‐intensive technology, low barriers to knowledge spillovers, and high degrees of redistribution characterize the industrial countries with a positive growth‐inequality correlation. A negative correlation between growth and inequality arises for the group of non‐industrial countries with the opposite characteristics. JEL classification: E1, O4