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Earnings Volatility Across Groups and Time

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Listed author(s):
  • Sabelhaus, John
  • Song, Jae
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Abstract

Inferences about earnings volatility across groups and time depend on the underlying models of earnings dynamics, data sources, earnings concepts, and sampling strategies. In this paper we evaluate a model of earnings dynamics in which the permanence of shocks varies by age and education. This specification is consistent with observed earnings changes in administrative panel data, and also with the variance of earnings levels in multiple cross–section (synthetic panel) data. However, expanding the earnings concept to include self–employment and changing sampling strategy to include observations with minimal labor force attachment has first–order effects, and may help explain why some studies conclude that earnings volatility is rising.

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Article provided by National Tax Association in its journal National Tax Journal.

Volume (Year): 62 (2009)
Issue (Month): 2 (June)
Pages: 347-364

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Handle: RePEc:ntj:journl:v:62:y:2009:i:2:p:347-64
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  1. Robert Moffitt & Peter Gottschalk, 2008. "Trends in the Transitory Variance of Male Earnings in the U.S., 1970-2004," Boston College Working Papers in Economics 697, Boston College Department of Economics.
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Cited by:

  1. Jason DeBacker & Bradley Heim & Vasia Panousi & Shanthi Ramnath & Ivan Vidangos, 2013. "Rising Inequality: Transitory or Persistent? New Evidence from a Panel of U.S. Tax Returns," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(1 (Spring), pages 67-142.
  2. Yi Wen, 2011. "Making sense of China’s astronomical foreign reserves," Working Papers 2011-018, Federal Reserve Bank of St. Louis.
  3. Rémi Bazillier & Jérôme Hericourt, 2014. "The Circulare Relationship between inequality, Leverage and Financial Crisis," Working Papers halshs-01204821, HAL.
  4. Rémi Bazillier & Jérôme Héricourt, 2014. "The Circular Relationship between Inequality, Leverage, and Financial Crises: Intertwined Mechanisms and Competing Evidence," Working Papers 2014-22, CEPII research center.
  5. Mariacristina De Nardi, 2015. "Quantitative Models of Wealth Inequality: A Survey," NBER Working Papers 21106, National Bureau of Economic Research, Inc.
  6. Andre Neveu, 2015. "Earnings Volatility Trends and the Great Moderation: A Multifactor Residual Approach," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(2), pages 229-245, June.
  7. Till van Treeck, 2012. "Did inequality cause the U.S. financial crisis?," IMK Working Paper 91-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
  8. Keshav Dogra & Olga Gorbachev, 2015. "Consumption Volatility, Liquidity Constraints and Household Welfare," Working Papers 15-05, University of Delaware, Department of Economics.
  9. Jason DeBacker & Bradley Heim & Vasia Panousi & Ivan Vidangos, 2011. "Rising inequality: transitory or permanent? New evidence from a U.S. panel of household income 1987-2006," Finance and Economics Discussion Series 2011-60, Board of Governors of the Federal Reserve System (U.S.).
  10. Sabelhaus, John & Song, Jae, 2010. "The great moderation in micro labor earnings," Journal of Monetary Economics, Elsevier, vol. 57(4), pages 391-403, May.
  11. van Treeck, Till. & Sturn, Simon., 2012. "Income inequality as a cause of the Great Recession? : A survey of current debates," ILO Working Papers 994709343402676, International Labour Organization.
  12. Krimmel, Jacob & Moore, Kevin B. & Sabelhaus, John & Smith, Paul, 2013. "The current state of U.S. household balance sheets," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 337-359.

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