Earnings on the information technology roller coaster: insight from matched employer-employee data
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-1990's 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.
|Date of creation:||Oct 2006|
|Publication status:||Published in Southern Economic Journal 2.73(2006): pp. 342-361|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- 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.
- Sabrina Wulff Pabilonia & Cindy Zoghi, 2004. "Which Workers Gain from Computer Use?," Working Papers 373, U.S. Bureau of Labor Statistics.
- 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.