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Doug Wissoker
Senior Fellow
Statistical Methods Group
Center on Labor, Human Services, and Population
  • Profile
  • Outside Affiliations
  • Doug Wissoker, a senior fellow with the Statistical Methods Group at the Urban Institute, is a labor economist with expertise in statistical and survey methods. Since joining Urban in 1988, he has collaborated with researchers on a wide range of topics, including child care choice, evaluation of welfare reform demonstrations, Medicare payment policy, discrimination in housing and employment, physician access before and after the Affordable Care Act, survey nonresponse bias, capacity for treatment of substance use disorder, and the design of survey samples and weights.

    Wissoker currently is studying Medicare payment policy for postacute care and disparities in behavioral health outcomes. He was responsible for the econometric analysis for the US Department of Housing and Urban Development’s paired-testing studies of racial discrimination in both rental and sales housing, and he codeveloped the evaluation designs for studies of discrimination in rental housing based on disability, presence of children, gay and lesbian couples, transgender persons, and source of income. Wissoker has a PhD in economics from the University of Wisconsin.

    Research Areas
    Health and health care
    Race and equity
    Job markets and labor force
    Racial inequities in health
    Structural racism in research, data, and technology

    Outside Affiliations
    Cornell University

    Urban experts are permitted and empowered to work and affiliate with outside organizations, whether serving on boards, volunteering their time, or providing advice and counsel. And Urban welcomes visiting scholars, nonresident or affiliated fellows who work for other organizations. These outside affiliations enrich our perspectives and our learning environment. We also require all paid and unpaid experts to disclose their affiliations to Urban leadership and follow rules governing their engagement to ensure transparency for audiences and independence of experts.