Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/288381 
Year of Publication: 
2020
Citation: 
[Journal:] Empirical Economics [ISSN:] 1435-8921 [Volume:] 61 [Issue:] 3 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2020 [Pages:] 1567-1616
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
The international literature studies non-take-up behavior of eligible populations to evaluate the effectiveness of government programs. A major challenge in this literature is the measurement error regarding benefit take-up. In our data, we observe both actual welfare receipt and respondents’ survey information on their program take-up. This allows us to observe the measurement errors that other researchers must estimate. We describe survey misreporting and investigate how it biases the estimates of the magnitude and patterns of benefit take-up among eligible households. Our findings suggest that the extent of measurement error can be substantial. It varies with the characteristics of the misreporting population and is associated with the drivers of misreporting. This indicates that survey-based analyses of take-up behavior are likely subject to severe biases.
Subjects: 
Take-up
Welfare
Misreporting
Survey data
Administrative data
Data linkage
JEL: 
I32
H75
C81
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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