Income inequality and growth—does the relationship vary with the income level?
Introduction
Does the relationship between income inequality and growth vary according to the level of development? Barro (2000) has provided evidence that inequality is bad for growth in poor countries but good for growth in rich countries. We test this hypothesis in the cross-country growth models of Bleaney and Nishiyama (2002), Sachs and Warner (1997) and Barro (1997).
The paper is organised as follows. Theoretical and data issues are discussed in Section 2. Empirical results appear in Section 3. Section 4 concludes.
Section snippets
Data issues
The most popular single measure of income inequality is the Gini coefficient, which represents the entire distribution of income. The most comprehensive cross-country data on Gini coefficients of which we are aware is WIID (2000). We use version 1.0, the latest version of the database, which was last updated on 12 September 2000. This database incorporates Deininger and Squire's (1996) dataset on income inequality (the Gini coefficients of income distribution). Although the country coverage in
Results
The majority of existing cross-sectional studies of the growth–inequality relationship report negative and significant coefficients for initial income inequality Alesina and Perotti, 1996, Chang and Ram, 2000, Deininger and Squire, 1998, Persson and Tabellini, 1994, but Castelló and Doménech (2002) find a more robust negative relationship using human capital inequality rather than income inequality. Forbes (2000) reports a significant positive coefficient in panel data using fixed effects
Conclusions
Using three recent growth model specifications, we have found no evidence that the sign of the initial income inequality coefficient differs between rich and poor countries in cross-country regressions. This result holds whether growth is measured using international or domestic relative prices, and also when statistically significant variation in other coefficients between rich and poor countries is allowed for. The coefficient does, however, differ significantly between models, which suggests
References (15)
- et al.
Income distribution, political instability, and investment
European Economic Review
(1996) - et al.
New ways of looking at old issues: inequality and growth
Journal of Development Economics
(1998) - Banerjee, A.V., Duflo, E., 2000. Inequality and growth: what can the data say? Working Paper no. 7783 (National Bureau...
Determinants of economic growth: a cross-country empirical study
(1997)Inequality and growth in a panel of countries
Journal of Economic Growth
(2000)- et al.
Explaining growth: a contest between models
Journal of Economic Growth
(2002) - et al.
Human capital inequality and economic growth: some new evidence
Economic Journal
(2002)
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