Misreporting of program take-up in survey data and its consequences for measuring non-take-up
New evidence from linked administrative and survey data
Dados Bibliográficos
| ID | 21542002 |
|---|---|
| Autores | Kerstin Bruckmeier (0000-0002-4797-7543, Institut für Arbeitsmarkt und Berufsforschung), R T Riphahn (0000-0003-4633-7728, Friedrich-Alexander-Universität Erlangen-Nürnberg, autor correspondente), Jürgen Wiemers (0000-0002-3863-7168, Institut für Arbeitsmarkt und Berufsforschung) |
| Ano | 2021 |
| Volume | 61 |
| Fascículo | 3 |
| Páginas | 1567-1616 |
| Data de publicação | 2021-09-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Empirical Economics (JOURNAL) |
| Identificadores do periódico | ISSN: 0377-7332 • E-ISSN: 1435-8921 |
| Editora | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00181-020-01921-4 |
| OpenAlex | W3092327071 |
| Idioma | EN |
| Citações recebidas | 11 |
| Referências citadas | 40 |
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
Econometrics · Economics · Environmental health · Population · Receipt · Statistics · Survey data collection · Survey methodology · Survey research · Welfare · Applied Psychology · Fiscal Policy and Economic Growth · Gender, Labor, and Family Dynamics · Income, Poverty, and Inequality · Mathematics · Medicine · Psychology · Accounting
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| Obras citantes distintas | 11 |
|---|---|
| Citações por ano | 2,2 |
| Intervalo de citações | 2021 - 2026 (6) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 9 |