Panel: Linking Administrative and Survey Data for Policy Analysis
(Tools of Analysis: Methods, Data, Informatics and Research Design)

Thursday, November 2, 2017: 3:30 PM-5:00 PM
Stetson G (Hyatt Regency Chicago)

*Names in bold indicate Presenter

Panel Organizers:  James P. Ziliak, University of Kentucky
Panel Chairs:  James P. Ziliak, University of Kentucky
Discussants:  Jonathan L Rothbaum, U.S. Census Bureau and Diane Whitmore Schanzenbach, Northwestern University


The Anti-Poverty Impact of the EITC: Comparing Simulated EITC Benefits in the CPS ASEC and NBER TAXSIM to Administrative Tax Records
Maggie R. Jones, U.S. Census Bureau and James P. Ziliak, University of Kentucky



Estimating the Impacts of SNAP on Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation
Charles Courtemanche1,2, Rusty Tchernis2 and Augustine Denteh2, (1)National Bureau of Economic Research, (2)Georgia State University



Errors in Reporting and Imputation of Government Benefits and Their Implications
Pablo Celhay, Universidad Catolica de Chile, Bruce Meyer, University of Chicago and Nikolas Mittag, CERGE-EI


This panel brings together leading experts examining the critical issues of data integrity in our major social surveys in the United States.  It fits squarely with the conference theme of Measurement Matters as the papers each use administrative data linked to survey records in major datasets, including the CPS, ACS, SIPP, and FoodAPS, to examine whether and how misreporting and measurement error affect outcomes such as the antipoverty effectiveness of the EITC, how measures of poverty change with better data on TANF, SNAP, and Housing Assistance, and how estimates of the effectiveness of SNAP on food insecurity change when more accurate reports on benefit receipt are available.  The results of the session will inform both research processes and policy practice.


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