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Earnings on the Information Technology Roller Coaster: Insight from Matched Employer‐Employee Data

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

Abstract

This article uses matched employer‐employee data for the State of Georgia to examine workers' earnings experience through the information technology (IT) sector's employment boom of the mid‐1990s and bust in the early 2000s. The results show that even after controlling for pre‐boom individual characteristics, transitioning out of the IT sector to a non‐IT industry generally resulted in a large wage penalty. However, IT service workers who transitioned to a non‐IT industry still fared better than workers who took a non‐IT employment path. For IT manufacturing workers, there is no benefit to having been touched by technology, likely because of the nontransferability of manufacturing experience to other industries.

Suggested Citation

  • Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2006. "Earnings on the Information Technology Roller Coaster: Insight from Matched Employer‐Employee Data," Southern Economic Journal, John Wiley & Sons, vol. 73(2), pages 342-361, October.
    • Handle: RePEc:wly:soecon:v:73:y:2006:i:2:p:342-361
    DOI: 10.1002/j.2325-8012.2006.tb00775.x
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    1. 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.
    2. 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 3-33, February.
    3. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2004. "Wage gains among job changers across the business cycle: insight from state administrative data," FRB Atlanta Working Paper 2004-19, Federal Reserve Bank of Atlanta.
    4. Sabrina Wulff Pabilonia & Cindy Zoghi, 2004. "Which Workers Gain from Computer Use?," Working Papers 373, U.S. Bureau of Labor Statistics.
    5. 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.
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    Cited by:

    1. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2008. "The Push-Pull Effects of the Information Technology Boom and Bust," Economic Development Quarterly, , vol. 22(3), pages 200-212, August.
    2. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2006. "The push-pull effects of the information technology boom and bust: insight from matched employer-employee data," FRB Atlanta Working Paper 2006-01, Federal Reserve Bank of Atlanta.

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    More about this item

    JEL classification:

    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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