Income Support during the Great Recession: New Evidence from Linked Survey and Administrative Data
Publication Date
1-1-2014
Grant Type
Early Career Research Award
Description
This project examines the poverty reducing and distributional effects of income support programs during the great recession. A new linked data set allows me to account for the pronounced program misreporting in the data used in previous evaluations. Most studies rely on survey reports that suffer from misreporting or on administrative records with limited income and demographic information. We combine the advantages of each data source by linking administrative records from multiple government programs to three large economic surveys. We will use this new and unique data set to analyze what share of the drop in income of disadvantaged households during the recession was replaced by safety net programs and how much the programs reduced poverty. We will also examine whether the programs interact to form an effective safety net or whether some households or demographic groups are missed.
Grant Product
Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net
Upjohn Institute Working Paper No. 15-242, 2015
Meyer, Bruce D. and Nikolas Mittag. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net." National Bureau of Economic Research Working Paper No. 21676, 2015. https://doi.org/10.3386/w21676
Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net.
American Enterprise Institute Economic Policy Working Paper No. 2015-10, 2015
Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net.
Center for Economic Studies (CES) (2015) 15-35
Meyer, Bruce D. and Nikolas Mittag. 2019. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness, and Holes in the Safety Net." American Economic Journal: Applied Economics 11(2):176-204. https://doi.org/10.1257/app.20170478