The aim of this paper is to study the potentially simultaneous relationship between income inequality and growth volatility for seventy countries between 1960 and 2002. Two types of analysis are performed; a cross-sectional analysis based on country averages of all available annual observations, and a panel-data analysis with fixed effects based on 6-year averages. The cross-sectional and panel estimation results are markedly different. In the first case, there seems to be a mutual relationship between inequality and volatility across countries, but several significant coefficients have illogical signs. In the second case, there is no evidence of simultaneity within a country; inequality is influenced by volatility, but inequality does not have a direct effect on volatility. Given the limitations of the cross-sectional analysis, we believe that the simultaneous relationship found in the cross-sectional model is rather spurious than real.
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Find related papers by JEL classification: C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration O49 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other
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