Artikel

Systematic measurement error in self-reported health: Is anchoring vignettes the way out?

This paper studies systematic reporting heterogeneity in self-assessed health in India using World Health Survey (WHS)-SAGE survey that has subjective assessments on own health and hypothetical vignettes as well as objective measures like measured anthropometrics and performance tests on a range of health domains. The study implicitly tests and validates the assumption of response consistency in a developing country setting, thus lending support to the use of vignettes. Additionally, we are able to control for unobservable heterogeneities of reporting behavior at the individual level by employing individual fixed-effects estimation using multiple ratings on a set of vignettes by the same person. The study confirms identical pattern of systematic bias by the socioeconomic subgroups as is indicated by vignette technique. It further highlights that substantial amount of reporting heterogeneity remains unexplained after controlling for the usual socioeconomic control variables. The finding has potentially broader implications for research based on self-reported data in a developing country.

Sprache
Englisch

Erschienen in
Journal: IZA Journal of Development and Migration ; ISSN: 2520-1786 ; Volume: 8 ; Year: 2018 ; Issue: 12 ; Pages: 1-30 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Survey Methods; Sampling Methods
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Health Behavior
Health: Government Policy; Regulation; Public Health
Health and Economic Development
Measurement and Analysis of Poverty
Demographic Economics: General
Thema
Self-assessed health
Vignette approach
Measurement error
Response consistency

Ereignis
Geistige Schöpfung
(wer)
Dasgupta, Aparajita
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2018

DOI
doi:10.1186/s40176-018-0120-z
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Dasgupta, Aparajita
  • Springer

Entstanden

  • 2018

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