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The push-pull effects of the information technology boom and bust: insight from matched employer-employee data

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  • Julie L. Hotchkiss
  • M. Melinda Pitts
  • John C. Robertson

Abstract

This paper examines the inflow and outflow of workers to different industries in Georgia during the information technology (IT) boom of the 1990s and the subsequent bust. Workers in the software and computer services industry were much more likely to have been absent from the Georgia workforce prior to the boom but were no more likely than workers from other industries to have exited the workforce during the bust. Consequently, the Georgia workforce likely experienced a net gain in worker human capital as a result of being an area of concentration of IT-producing activity during the IT boom.

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Bibliographic Info

Paper provided by Federal Reserve Bank of Atlanta in its series Working Paper with number 2006-01.

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Date of creation: 2006
Date of revision:
Handle: RePEc:fip:fedawp:2006-01

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References

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  1. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2005. "Earnings on the information technology roller coaster: insight from matched employer-employee data," Working Paper 2005-11, Federal Reserve Bank of Atlanta.
  2. Jacob Mincer & Boyan Jovanovic, 1982. "Labor Mobility and Wages," NBER Working Papers 0357, National Bureau of Economic Research, Inc.
  3. Mariassunta Giannetti, 2001. "Skill Complementarities and Migration Decisions," LABOUR, CEIS, vol. 15(1), pages 1-31, 03.
  4. Edward L. Glaeser & Albert Saiz, 2003. "The rise of the skilled city," Working Papers 04-2, Federal Reserve Bank of Philadelphia.
  5. Alfred Nucci & Charles Tolbert & Troy Blanchard & Michael Irwin, 2002. "Leaving Home: Modeling the Effect of Civic and Economic Structure on Individual Migration Patterns," Working Papers 02-16, Center for Economic Studies, U.S. Census Bureau.
  6. Robert L. Boyd, 2002. "A "Migration of Despair": Unemployment, the Search for Work, and Migration to Farms During the Great Depression," Social Science Quarterly, Southwestern Social Science Association, vol. 83(2), pages 554-567.
  7. Mark Partridge, 1993. "High-Tech Employment And State Economic Development Policies," The Review of Regional Studies, Southern Regional Science Association, vol. 23(3), pages 287-305, Winter.
  8. Daniel Chiquiar & Gordon H. Hanson, 2005. "International Migration, Self-Selection, and the Distribution of Wages: Evidence from Mexico and the United States," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 239-281, April.
  9. Mary C. Daly & Robert G. Valletta, 2004. "Performance of urban information technology centers: the boom, the bust, and the future," Economic Review, Federal Reserve Bank of San Francisco, pages 1-18.
  10. Sabrina Wulff Pabilonia & Cindy Zoghi, 2004. "Which Workers Gain from Computer Use?," Working Papers 373, U.S. Bureau of Labor Statistics.
  11. Sammis B. White & John F. Zipp & William F. McMahon & Peter D. Reynolds & Jeffrey D. Osterman & Lisa S. Binkley, 1990. "ES202: The Data Base for Local Employment Analysis," Economic Development Quarterly, , vol. 4(3), pages 240-253, August.
  12. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages F3-F33, February.
  13. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2004. "Wage gains among job changers across the business cycle:> insight from state administrative data," Working Paper 2004-19, Federal Reserve Bank of Atlanta.
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Cited by:
  1. Julie L. Hotchkiss & Menbere Shiferaw, 2011. "Decomposing the education wage gap: everything but the kitchen sink," Review, Federal Reserve Bank of St. Louis, issue July, pages 243-272.

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