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Inequality and the Business Cycle: Evidence from U.S. survey data

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  • Martin Geiger
  • Eric Mayer
  • Johann Scharler

Abstract

We study the effects of macroeconomic shocks on several measures of economic inequality obtained from U.S. survey data. To identify aggregate supply, aggregate demand, and monetary policy shocks, we estimate structural vector autoregressions and impose sign and zero restrictions on impulse response functions. Our results show that the effects of the macroeconomic shocks on economic inequality depend on the type of shock as well as on the measure of inequality considered. Contractionary monetary policy shocks increase expenditure and consumption inequality, whereas income and earnings inequality are less affected. Adverse aggregate supply and aggregate demand shocks increase income and earnings inequality, but reduce expenditure and consumption inequality. Our results suggest that different channels dominate in the transmission of the shocks. The earnings heterogeneity channel is consistent with the inequality dynamics in the aftermath of monetary policy shocks, but it appears to be less crucial when the economy is hit by either aggregate supply or aggregate demand shocks. In the aftermath of aggregate supply and aggregate demand shocks, inflation and the real interest rate appear to drive inequality dynamics to a larger degree. Using variance decompositions, we also find that although the macroeconomic shocks account for large shares of the variation in the macroeconomic variables, their contributions to the dynamics of the inequality measures are limited.

Suggested Citation

  • Martin Geiger & Eric Mayer & Johann Scharler, 2019. "Inequality and the Business Cycle: Evidence from U.S. survey data," Working Papers 2019-01, Faculty of Economics and Statistics, Universität Innsbruck.
  • Handle: RePEc:inn:wpaper:2019-01
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    1. Mumtaz, Haroon & Theophilopoulou, Angeliki, 2017. "The impact of monetary policy on inequality in the UK. An empirical analysis," European Economic Review, Elsevier, vol. 98(C), pages 410-423.
    2. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    3. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    4. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    5. Frank Smets & Raf Wouters, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    6. Adrien Auclert, 2019. "Monetary Policy and the Redistribution Channel," American Economic Review, American Economic Association, vol. 109(6), pages 2333-2367, June.
    7. Matthias Doepke & Martin Schneider, 2006. "Inflation and the Redistribution of Nominal Wealth," Journal of Political Economy, University of Chicago Press, vol. 114(6), pages 1069-1097, December.
    8. Barlevy, Gadi & Tsiddon, Daniel, 2006. "Earnings inequality and the business cycle," European Economic Review, Elsevier, vol. 50(1), pages 55-89, January.
    9. Furceri, Davide & Loungani, Prakash & Zdzienicka, Aleksandra, 2018. "The effects of monetary policy shocks on inequality," Journal of International Money and Finance, Elsevier, vol. 85(C), pages 168-186.
    10. Fatih Guvenen & Serdar Ozkan & Jae Song, 2014. "The Nature of Countercyclical Income Risk," Journal of Political Economy, University of Chicago Press, vol. 122(3), pages 621-660.
    11. Jonathan Heathcote & Fabrizio Perri & Giovanni L. Violante, 2010. "Unequal We Stand: An Empirical Analysis of Economic Inequality in the United States: 1967-2006," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 15-51, January.
    12. J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
    13. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    14. Coibion, Olivier & Gorodnichenko, Yuriy & Kueng, Lorenz & Silvia, John, 2017. "Innocent Bystanders? Monetary policy and inequality," Journal of Monetary Economics, Elsevier, vol. 88(C), pages 70-89.
    15. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    16. Hilary Hoynes & Douglas L. Miller & Jessamyn Schaller, 2012. "Who Suffers during Recessions?," Journal of Economic Perspectives, American Economic Association, vol. 26(3), pages 27-48, Summer.
    17. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2018. "Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications," Econometrica, Econometric Society, vol. 86(2), pages 685-720, March.
    18. Uhlig, Harald, 1994. "What Macroeconomists Should Know about Unit Roots: A Bayesian Perspective," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 645-671, August.
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    More about this item

    Keywords

    Macroeconomic Shocks; Inequality; Structural Vector Autoregression; Zero and Sign Restrictions;
    All these keywords.

    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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