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-1990s and bust in the early 2000s. The results show that even after controlling for pre-boom individual charac...

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Publicado en:Southern Economic Journal Vol. 73; no. 2; pp. 342 - 362
Autores principales: Hotchkiss, Julie L., Pitts, M. Melinda, Robertson, John C.
Formato: Artículo
Publicado: Wiley-Blackwell Oct2006
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      aug:
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          Hotchkiss, Julie L.
          Pitts, M. Melinda
          Robertson, John C.
        affil: Federal Reserve Bank of Atlanta, Research Department, 1000 Peachtree Street, NE, Atlanta, GA 30309-4470, USA; and Andrew Young School of Policy Studies, Georgia State University, 14 Marietta Street, NW, Atlanta, GA, 30303-2813, USA
      su:
        Georgia
        Information technology
        Employees
        Wages
        High technology industries
        Employers
      sug:
        subj:
          Information technology
          Employees
          Wages
          Georgia
          High technology industries
          Employers
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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