Replication data for: Correcting for Misreporting of Government Benefits
Principal Investigator(s): View help for Principal Investigator(s) Nikolas Mittag
Version: View help for Version V1
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Project Citation:
Mittag, Nikolas. Replication data for: Correcting for Misreporting of Government Benefits. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-13. https://doi.org/10.3886/E114706V1
Project Description
Summary:
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Data linkage studies often document, but do not remedy, severe survey errors. To improve survey estimates despite restricted linked data access, this paper develops a convenient and general estimation method that combines public use data with conditional distribution parameters estimated from linked data. Analyses using linked SNAP data show that this method sharply improves estimates and consistently outperforms corrections that mainly rely on survey data. Yet, some univariate corrections perform well when linked data do not exist. For SNAP, extrapolating from linked data across time and geography still improves upon estimates using survey data only, even after survey-based corrections.
Scope of Project
JEL Classification:
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C81 Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
C83 Survey Methods; Sampling Methods
H75 State and Local Government: Health; Education; Welfare; Public Pensions
I18 Health: Government Policy; Regulation; Public Health
I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
C81 Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
C83 Survey Methods; Sampling Methods
H75 State and Local Government: Health; Education; Welfare; Public Pensions
I18 Health: Government Policy; Regulation; Public Health
I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
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