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The Evidence Building Staff manages a variety of projects linking Census and administrative data for program evaluation.

Read more about how we acquire data for evidence building projects.

Analysis of Undercounted Children

Aim: This subproject will use data from IRS 1040 and 1099-R tax returns and W2 information data, birth records, NUMIDENT files, and name data to identify the demographic and economic characteristics of children who are not found in demographic surveys and members of their household. 

PI: Gloria Aldana, Census Bureau, Sarah Miller, University of Michigan; Laura Wherry, University of California, Los Angeles

Datasets Used:

User Provided Data-California birth records for all infants born in California between 1960 and 2014 (approximately 25 million births).

Census and Administrative Data-Decennial Census 2000, American Community Survey, Numident, CMS Medicare and Medicaid, California Tax Data, Census Household Identification Key, LEHD

Health at Birth and Later Life Outcomes: Evaluating the Returns to Policy-Driven Early Health Investments

Aim: To examine the socio-economic well-being of children and their mothers based on health at birth, while evaluating the policy-driven returns of health investments.

PI: Sarah Miller, University of Michigan; Laura Wherry, University of California, Los Angeles; Gloria Aldana, Census Bureau

Datasets Used:

User Provided Data-California birth records for all infants born in California between 1960 and 2014 (approximately 25 million births).

Census and Administrative Data-Decennial Census 2000, American Community Survey, Numident, CMS Medicare and Medicaid, California Tax Data, Census Household Identification Key, LEHD

IRS 1040, IRS 1099.

Program Utilization by Formerly Criminalized Persons: Linking Recidivism Data to Data Held by the U.S. Census Bureau

Aim: To identify the services that formerly criminalized persons might be eligible for, the services they do access, and any correlation of program utilization to recidivism and other outcomes such as employment, earnings, and housing stability.

PI: Emily Wang, Yale University

Census Contact: Kathryn McNamara

Datasets Used:

User Provided Data-Connecticut Institute for Regional and Municipal Policy dataset included Court Support Services, Department of Children and Families, and Department of Corrections

Census and Administrative Data-CMS Medicare and Medicaid, HHS Child Care and Development Fund, HUD Public and Indian Housing Center (PIC) and Tenant Rental Assistance Certification System (TRACS), LEHD, USPS National Change of Address

Outcomes Under the Post-9/11 GI Bill

Aim: To analyze the Post-9/11 GI Bill return on investment in comparison to other GI Bill and veteran benefit programs.

PI: Carrie Wofford, Veterans Education Success; Paul Bailey, AIR;

Census Contact: Bruce Webster

Datasets Used:

User provided-Defense Manpower Data Center Deployed Personnel, Veterans Affairs Post 9/11 GI Bill, Veterans Affairs US Veterans File

Census and Administrative Data-American Community Survey, LEHD, HHS Temporary Assistance to Needy Families (TANF) Federal File, California State Tax records, Military Enumeration File

Improving Measurement and Creating New Estimates of Characteristics of the Veteran Population

Aim: This study will use various administrative data sources to examine the quality of Census Bureau data and estimates of the veteran population (approximately 20 million people) and to develop models for the imputation of veteran’s income, employment, health status and disability status.

PI: Bruce Webster and Adam Bee, Census Bureau

Census Contact: Bruce Webster

Datasets Used:

User provided-Defense Manpower Data Center Deployed Personnel, Veterans Affairs Post 9/11 GI Bill, Veterans Affairs US Veterans File

Census and Administrative Data-American Community Survey, Current Population Survey Annual Social and Economic supplement, LEHD, HHS Temporary Assistance to Needy Families (TANF) Federal File, California State Tax records, Military Enumeration File

Experimental Estimates of the Long-run Impacts of Welfare Reform on Participants and Children

Aim: To extend the evidence on welfare policies by examining the long-run impacts of unusually rigorous randomized evaluations conducted by MDRC in the 1990s.

PI: Hilary Hoynes, UC Berkeley; Jordan Matsudaira, Teachers College, Columbia University

Other Team members: Pauline Leung, Cornell University; Zhuan Pei, Cornell University; Megan Millenky, MDRC; Cynthia Miller, MDRC; Mark van Dok, MDRC, : Amanda Eng, Cornell

Census Contact: Scott Boggess

Datasets Used:

User Provided Data-MDRC National Evaluation of Welfare to Work Strategies (NEWWS)

Census and Administrative Data-American Community Survey, Census Household Composition Key File, HUD Public and Indian Housing Information Center, HUD Tenant Rental Assistance Certification System, HUD Computerized Homes Underwriting Management System, LEHD Employment History File, California State Tax

Other Projects:

Aim: To examine a variety of outcomes for different housing interventions--such as vouchers--by linking Housing and Urban Development's Moving to Opportunity and Family Options Study data to administrative and survey data. A full list of projects can be found at the link above.

Aim: This research project leverages the Census Bureau's Data Linkage infrastructure to assist agencies in conducting research related to natural disaster mitigation, preparedness, resilience, response, and recovery. Natural disaster is understood to include both physical disasters such as floods, fires, hurricanes, earthquakes, and tornadoes, as well as biological hazards such as COVID-19 and Zika. The project also hopes to serve as a mechanism to facilitate interagency research projects as a means to improve coordination and cooperation across agencies.

Completed/Past Projects:

Using Multiple Discontinuities to Estimate Broad Effects of Public Need-based Aid for College

Aim: To evaluate the impacts of the Wisconsin Grant on college enrollment, employment, wages, migration, and receipt of social benefits programs.

PI: Drew M. Anderson, RAND

Census Contact: Kathryn McNamara

Datasets Used:

User Provided Data-Higher Education Aid Board Financial Aid Data

Census and Administrative Data-Decennial Census 2000 and 2010, American Community Survey, TANF Federal File, LEHD

Related Material: When Financial Aid is Scarce: The Challenge of Allocating College Aid Where it is Needed Most. Santa Monica, CA: RAND Corporation, 2019. www.rand.org/pubs/working_papers/WR1307.html.

Using Linked Data to Examine the Trajectories and Service Utilization of Families and Children Experiencing Homelessness

Aim: To study how families experiencing homelessness interact with various support services and compare these patterns to other low-income families in the Charlotte region.

PI: Andrew Reynolds, UNC Charlotte

Census Contact: Kathryn McNamara

Datasets Used:

User Provided Data-North Carolina Homeless Information Management System

Census and Administrative Data-American Community Survey, HUD PIC and TRACS, USPS National Change of Address

Adult labor market outcomes: Pathways from K-12 to work

Aim: Characterize the recidivism events and labor market outcomes that follow different sentencing outcomes in Cook County, Illinois

PI: Andrew Jordan, University of Chicago; Ezra Karger, University of Chicago; Derek Neal, University of Chicago

Datasets Used:

User Provided-Cook County Criminal Court Data, Illinois Department of Corrections Prison data

Census and Administrative Data-Decennial 2000 and 2010, LEHD, SSA Supplemental Security Income Records, SSA Numident

Does Eviction Cause Poverty? Quasi-Experimental Evidence from Cook County, IL

Aim: To determine the long term effects of eviction on low-income families and the associated costs to government support programs.

PI: John Eric Humphries, Yale University; Nick Mader, Chapin Hall at the University of Chicago; Daniel Tannenbaum, University of Nebraska; Winnie van Dijk, University of Chicago

Census Contact: Kathryn McNamara

Datasets Used:

User Provided-Cook County Evictions Court Cases, Cook County Homeless Management Information System

Census and Administrative Data-CMS Medicare and Medicaid, HUD PIC and TRACS, LEHD, RealtyTrac, SSA Numident, USPS National Change of Address

Labor Market Outcomes and Social Well Being of Army Personnel and Families

Aim: To study the labor market outcomes and socio-economic well-being of Army applicants, service members and their families during and after military service.

PI: William Skimmyhorn, Army

Census Contact: Scott Boggess

Datasets Used:

User Provided-DOD Army Veteran Data

Census and Administrative Data-American Community Survey, LEHD

FEMA Study on Equitable and Impartial Relief Operations for the Individual Assistance (IA) Program

Aim: To compare Individual Assistance (IA) registration and eligibility for various demographic groups and to verify the accuracy of the home mortgage, insurance and functional needs data collected by FEMA.

PI: FEMA-Timothy Allen; Kimberley Eckley; Vienna Ferris; Melissa Sedlacik; Christopher Shoup; Meghan Toomey; Brian Yoder

Datasets Used:

User Provided-FEMA Individual Assistance Registrants

Census and Administrative Data-Decennial Census 2010, American Community Survey, American Housing Survey, Master Address File Extract

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