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EEODataNet

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  1. EEODataNet Donald Tomaskovic-Devey, Lee Badget, Fidan Kurtulus, University of Massachusetts NSF- Building Community Capacity funding

  2. First movers Early Years • Ron Edwards and Bliss Cartwright, EEOC • Sheryl Skaggs, NCStateUTexas, Dallas • Alexandra Kalev, PrincetonTel Aviv U Later – Phil Cohen, Frank Dobbin, Elizabeth Hirsch, Matissa Hollister, Matt Huffman, Julie Kmec, Tricia McTague, Kevin Stainback, Don Tomaskovic-Devey…………………..

  3. But, there were more • Economists • Psychologists • Political Scientists • Statisticians • Management Scholars

  4. Research on • Sex, Race and Class (well occupation) Inequalities • Age discrimination • Disability discrimination • Impact of law on firm behavior • Impact of firm policy on EEO outcomes • Long term historical studies of change in EEO outcomes • Qualitative studies of discrimination cases

  5. Triple Silo Problem • Disciplines largely unaware of each other • Data confidentiality restrictions meant little learning across projects, no replication, no data sharing • Academic goals not strongly tied to EEOC needs

  6. Two solutions under construction • EEODataNet • EEODataCenter

  7. EEODataNet • Historical record of all EEO data publications (197 that we can find) • Contemporary directory of all EEO data users (87 that we can find) • Two EEODataNet conferences at EEOC • EEODataNet newsletter • Web site under construction • to share news • archive meta-data

  8. EEODataCenter • Archive EEOC source data • Archive value added data from social science community • Broker relationships between academic communities and EEOC • Help navigate IPA process • Encourage researchers to understand the need to support EEOC’s regulatory agenda • Create access point to source and value added data, as well as metadata • Encourage EEOC to ask academics for support

  9. Tremendous Research Possibilities • Influence of enforcement on firm behavior • Combining EEO data with surveys, administrative data, Compustat • Equal opportunity frontiers – LGBT, credit ratings, criminal background checks, what is a firm? • Text Mining of EEOC complaint data • Geography of EEO

  10. Tremendous Potential to be Relevant • Kalev, Dobbin and Kelly, 2006 • Identify good and bad firms for EEOC • Help EEOC understand impact of its regulatory strategies • Help EEOC with emerging equal opportunity frontiers • Methodology for of EEOC data collection and analyses

  11. Join us, by sending an email to: eeeodatanet <eeodatanet@umass.edu>

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