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Inequality and Growth: What Can the Data Say?

Author

Listed:
  • Abhijit V. Banerjee
  • Esther Duflo

Abstract

This paper describes the correlations between inequality and the growth rates in cross-country data. Using non-parametric methods, we show that the growth rate is an inverted U-shaped function of net changes in inequality: Changes in inequality (in any direction) are associated with reduced growth in the next period. The estimated relationship is robust to variations in control variables and estimation methods. This inverted U-curve is consistent with a simple political economy model, although, as we point out, efforts to interpret this model causally run into difficult identification problems. We show that this non-linearity is sufficient to explain why previous estimates of the relationship between the level of inequality and growth are so different from one another.

Suggested Citation

  • Abhijit V. Banerjee & Esther Duflo, 2000. "Inequality and Growth: What Can the Data Say?," NBER Working Papers 7793, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:7793
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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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