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Banking Crises in the US: the Response of Top Income Shares in a Historical Perspective

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Abstract

This paper examines the response of the national income shares accruing to different groups within the richest decile in the US to the occurrence of major systemic banking crises since the beginning of the twentieth century. The findings suggest that the impact of banking crises on the US top income shares is mostly small in magnitude. Indeed, the estimated total effect of crises is never bigger than one standard deviation of a specific top shares under investigation. Results are robust to a variety of checks and the analysis also highlights interesting heterogeneity across different income groups. Additional results also point out that the short-term impact of crises may be also temporary in nature as top shares recover faster in the aftermath of a shock. These findings lend indirect support to the idea that only substantial changes in government policies and institutional frameworks can bring about radical changes in income distribution.

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  • Salvatore Morelli, 2014. "Banking Crises in the US: the Response of Top Income Shares in a Historical Perspective," CSEF Working Papers 359, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  • Handle: RePEc:sef:csefwp:359
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    4. Bodea, Cristina & Houle, Christian & Kim, Hyunwoo, 2021. "Do financial crises increase income inequality?," World Development, Elsevier, vol. 147(C).
    5. Mathonnat, Clément & Williams, Benjamin, 2020. "Does more finance mean more inequality in times of crisis?," Economic Systems, Elsevier, vol. 44(4).

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D39 - Microeconomics - - Distribution - - - Other
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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