Event Registration


    Data disaggregation as a means to improved health research and policy-making

    When: Thursday, September 26, 2019, 9:30 a.m. — 4:00 p.m.

    Where: The Brookings Institution, Falk Auditorium, 1775 Massachusetts Ave, NW, Washington, DC

    What: Researchers and policy makers have initiated a recent push towards improved data availability to inform evidence-based policy making. Often the goal of research and policy is to examine differences in outcomes across pre-determined demographic, socio-economic, or geographically distinct populations, and to address the root causes of any documented disparities in these outcomes. In particular, basic socioeconomic differences across racial and ethnic groups must be recognized and studied in order to adequately address health and welfare disparities. Using only average group characteristics in this type of analysis may mask important differences for heterogeneous groups or communities and result in unsuccessful policies.

    To adequately address such questions, data must be available at a sufficiently disaggregated level so that the populations of interest are identifiable and there is sufficient statistical power to produce credible empirical estimates. The question of what level of disaggregation is suitable in different settings is not trivial. We are organizing a one-day conference to highlight and discuss issues related to data disaggregation as a means to improve the quality of empirical work and policy effectiveness with an emphasis in health and well-being.

    A light breakfast will be served starting at 9:00am.


    9:00-9:30 am Continental Breakfast / Registration

    9:30-9:45 am

    Introduction and Welcome – William Frey, Senior Brookings Fellow, Brookings Institution

    9:45-10:45 am

    Panel 1: “Critical Needs for Data Disaggregation for Race and Ethnic Groups” – Why do we need to disaggregate?

    • John Yang, Asian Americans Advancing Justice | AAJC
    • Ana Gonzalez-Barrera, Pew Research Center
    • Yvette Roubideaux, National Congress of American Indians
    • Moderator: Richard Reeves, Director, Future of the Middle Class Initiative

    10:45 -11:00 am-- Coffee Break

    11:00 am -12:00 pm Academic Session 1 (1 hour; 30 mins each paper)
    Paper 1:  “Asians and Hispanics Earnings Inequality in Administrative Data”
    Randall Akee, Maggie R. Jones, Sonya Rastogi Porter and Emilia Simeonova
    Discussant: Marcus Casey, Brookings Institution

    Paper 2:  “Disaggregating Data to Advance Health Equity:the Case of Native Hawaiians and Pacific Islanders”
    Sela Panapasa and James McNally, University of Michigan
    Discussant: Nicole Lurie, former Assistant Secretary for Preparedness and Response at the U.S. Department of Health and Human Services (HHS)

    12:00-1:00 pm -- Lunch

    1:00-2:30 pm Academic Session II (1 hour 30 min; 30 mins each paper)
    Paper 3: “Analyzing the Impact of Differential Privacy on the Accuracy Decennial Census Data”
    David Van Riper, University of Minnesota
    Discussant: Ravi Aron, Johns Hopkins Carey School of Business

    Paper 4: “Welfare Reform and Adolescents: Are the Boys Alright?”
    Dhaval Dave, Nancy Reichman, Hope Coreman
    Discussant: Valentina Duque, University of Sydney

    Paper 5: “Disaggregating the Data for Bisexual People”
    Shabab Ahmed Mirza, Center for American Progress
    Discussant: Phil Phan, Johns Hopkins Carey Business School

    2:30-2:45 pm-- Coffee Break

    2:45 - 3:45 pm

    Panel 2: “Data collection and data access: current issues and future challenges” – Where disaggregation is going and obstacles

    • Ninez Ponce, UCLA
    • Meagan Khau, Centers for Medicare & Medicaid Services
    • Makada Henry-Nickie, Fellow, Brookings Institution
    • Moderator: Emilia Simeonova, Johns Hopkins

    3:45 – 4:15 pm  Concluding Discussion and Summary of Next Steps

    • Randall Akee, Brookings

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