finance, inequality and poverty: cross-country evidence thorsten beck, asli demirguc-kunt and ross...
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Finance, Inequality and Poverty: Cross-Country Evidence
Thorsten Beck, Asli Demirguc-Kunt and Ross Levine
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Motivation
• High levels of income inequality and poverty around the world– In 2001, 1.1 billion lived on less than one dollar a day– In Thailand, poverty dropped by 90% from 1981 to 2000,
while it doubled in Venezuela• While growth helps reduce poverty, it is not enough!• Growth-enhancing policies can have distributional
effects:– Raise everyone’s income– Raise primarily incomes of the rich– Raise primarily incomes of the poor
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Motivation
• Negative relationship between inequality and growth often explained with financial market constraints; suggesting redistributive policies
• Alternative: financial sector reform that reduces market frictions, lowers income inequality and boosts growth without incentive problems of redistributive policies
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Our Contribution
• Finance is pro-(average) growth …• … but is it also pro-poor?
... Does it boost the growth of the poor more than growth of the average person?
• Using a cross-country regressions, we analyze the effect of financial development on:– Income growth of the poor– Changes in income inequality– Changes in Headcount
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Finance – pro-rich or pro-poor?
• Pro-poor– Credit constraints are particularly binding for the
poor (Banerjee and Newman,1993; Galor and Zeira, 1993; Aghion and Bolton, 1997)
– Finance helps overcome barriers of indivisible investment (McKinnon, 1973)
– Finance foster economy-wide openness and competition by facilitating entry (Rajan and Zingales, 2003)
• Pro-rich:– Credit is channeled to incumbent and connected and
not to entrepreneurs with best opportunities (Lamoreaux, 1986; Haber, 1991)
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Data – Financial development
• Private Credit
– Value of credit by financial intermediaries to the private sector divided by GDP
– Data averaged over 1960-99 (1980-2000)
– Countries with higher levels of Private Credit grow faster• Beck, Levine and Loayza (2000)
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Data – Dependent variables
• Average annual growth rate of the real income of lowest income quintile over 1960-99 for 52 countries
• Average annual growth rate of Gini coefficient over 1960-99 for 52 countries
• Average annual growth rate in Headcount (share of population with less than $1 a day) over 1980-2000 for 58 countries
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Methodology
,/)( ,,,,,, iiintpintpitpi XFDynyy
,/)(/)( ,,,,,,,, iintitintpintpitpi FDnyyynyy
,/)(/)( ,,,,, intiintitintiti GFDnyynGG
,/)(/)( ,,,,, intiintitintiti PFDnyynPP
Finance and income growth of the poor
Finance and changes in income inequality
Finance and poverty alleviation
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Finance and income growth of the poor
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Finance and the Poor – the economic effect
• Income of the poor in Brazil would have grown 4% instead of 0% per year over the period 1960-99, had Brazil had the same level of Private Credit as Korea
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Finance and changes in Gini
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Finance and changes in Headcount
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Finance and Poverty Alleviation – the economic effect
• Headcount in Peru would have increased only by 5% instead of the actual 19% per year, had it had the level of financial development of Chile; this would have resulted in a Headcount of 2% in 2000 rather than the actual 15%.
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Robustness tests
Results hold controlling for:
• Trade Openness
• Inflation
• Schooling 1960
• Age dependency ratio
• Population growth
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Simultaneity Bias
• Control for reverse causation and simultaneity bias by instrumenting for Private Credit
– Legal origin
– Latitude
– Religion
• Tests:
– Test of overidentifying restrictions
– F-test and adjusted R-squared for first stage
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Conclusions
• Finance is pro-growth and pro-poor! • In countries with better developed financial
intermediaries,– income of the poor grows faster– income inequality decreases at faster rate– poverty falls at faster rate
• How to foster financial intermediary development?
• How to broaden access to financial services?