A Reassessment of the Relationship between Inequality and Growth

By Kristin J. Forbes. 2000

2,147 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1a425c34f20d5956c626b78e2643ada287ae80c5

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Citations in the corpus

A Monte Carlo study of growth regressions (2009, neutral): “See for instance Forbes (2000) , Benhabib and Spiegel (1994), Easterly et al. (1997) among many others.”
Gender Equality and Economic Growth: Is there a Win‐Win? (2013, background): “Forbes (2000) studied the effect of male and female education on economic growth with a very similar model to Perotti (1996) and Caselli et al. (1996).”
The inequality-growth nexus in the short and long run: Empirical evidence from China (2006, methodology): “For example, Forbes (2000) uses data † By “very short-run”, we mean instant impacts without any delay or with delay by one time period. averaged over a 5-year interval in a growth regression and claims that this is a mediumor short- run relationship.”
Inequality, poverty and economic growth (2020, background): “Forbes (2000) finds that inequality can lead to increased economic growth in the short run.”
GROWTH, INEQUALITY AND POVERTY: SOME HARD QUESTIONS (2004, background): “11 A selection of these papers would include Barro (2000), Forbes (2000) and Banerjee and Duflo (2003).”
The Lost Decades: Developing Countries' Stagnation in Spite of Policy Reform 1980–1998 (2001, background): “2. The findings on the negative effect of inequality on growth have been recently attacked by Forbes (2000) , who was in turn counter-attacked by Deininger and Olinto (2000).”
Income Inequality and Macroeconomic Volatility: An Empirical Investigation (2005, background): “Recent work on growth and inequality, such as Forbes (2000), has exploited the panel dimension of the Deininger and Squire dataset.”
A normal relationship ? Poverty, growth, and inequality (2006, background): “The data points cluster along the 45-degree line, suggesting that the lognormal distribution provides a fairly close approximation to 15 For this reason, Forbes (2000) and Deininger and Squire (1996) raise expenditure-based Gini coefficients by 0.066 to make them comparable with income-based ones.”
The Costs of Missing the Millennium Development Goal on Gender Equity (2004, neutral): “Forbes (2000) also examines the impact of male and female education on economic growth using panel data with five-year intervals and a GMM estimator, a version of fixed effects.”