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ES202: The Data Base for Local Employment Analysis

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Author Info

  • Sammis B. White

    (Urban Research Center at the University of Wisconsir-Milwaukee)

  • John F. Zipp

    (Urban Research Center at the University of Wisconsir-Milwaukee)

  • William F. McMahon

    (Urban Research Center at the University of Wisconsir-Milwaukee)

  • Peter D. Reynolds

    (Urban Research Center at the University of Wisconsir-Milwaukee)

  • Jeffrey D. Osterman

    (Urban Research Center at the University of Wisconsir-Milwaukee)

  • Lisa S. Binkley

    (Urban Research Center at the University of Wisconsir-Milwaukee)

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    Abstract

    This article analyzes the costs and benefits of using state-level unemployment compensation (UC) records, commonly known as ES202 data, for analyzing local economic change. Although the unedited UC records are helpful for the most general level for statewide analysis, these records must be edited considerably for more detailed questions and/or any substate analyses. Researchers at the University of Wisconsin-Milwaukee's Urban Research Center detail the problems and issues they confronted in using Wisconsin's ES202 data to address these latter concerns. Included is a description of the type of data available from ES202 reports and a discussion of the many obstacles that are likely to confront all researchers attempting to transform raw ES202 data into a more useful form. The authors conclude that properly used, ES202 data provide a wide range of valuable information that can be used to inform local economic development policy

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    File URL: http://edq.sagepub.com/content/4/3/240.abstract
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    Bibliographic Info

    Article provided by in its journal Economic Development Quarterly.

    Volume (Year): 4 (1990)
    Issue (Month): 3 (August)
    Pages: 240-253

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    Handle: RePEc:sae:ecdequ:v:4:y:1990:i:3:p:240-253

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    Cited by:
    1. Hotchkiss, Julie L. & Pitts, M. Melinda & Robertson, John, 2006. "Earnings on the information technology roller coaster: insight from matched employer-employee data," MPRA Paper 9830, University Library of Munich, Germany.
    2. 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.
    3. Julie L. Hotchkiss & Myriam Quispe-Agnoli, 2008. "The labor market experience and impact of undocumented workers," Working Paper 2008-07, Federal Reserve Bank of Atlanta.
    4. 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.
    5. 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," Working Paper 2006-01, Federal Reserve Bank of Atlanta.
    6. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2003. "The ups and downs of jobs in Georgia: what can we learn about employment dynamics from state administrative data?," Working Paper 2003-38, Federal Reserve Bank of Atlanta.
    7. Cader, Hanas A. & Leatherman, John C., 2008. "Geography of Employment and Establishment Dynamics in Information Technology and E-Commerce Industries," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1).
    8. Hotchkiss, Julie L. & Moore, Robert E. & Zobay, Stephanie M., 2002. "The impact of the 1996 Summer Olympic Games on employment and wages in Georgia," MPRA Paper 9328, University Library of Munich, Germany.

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