Arbeitspapier
Accuracy of self-reported private health insurance coverage
Studies on health insurance coverage often rely on measures self-reported by respondents, but the accuracy of such measures has not been thoroughly validated. This paper is the first to use linked Australian National Health Survey and administrative population tax data to explore the accuracy of self-reported private health insurance (PHI) coverage in survey data. We find that 9% of individuals misreport their PHI coverage status, with 5% of true PHI holders reporting that they are uninsured and 16% of true non-insured persons self-identifying as insured. Our results show reporting errors are systematically correlated with individual and household characteristics. Our evidence on the determinants of errors is supportive of common reasons for misreporting. We directly investigate biases in the determinants of PHI enrolment using survey data. We find that, as compared to administrative data, survey data depict a quantitatively different picture of PHI enrolment determinants, especially those capturing age, language proficiency, labour force status or the number of children. We also show that PHI coverage misreporting is subsequently associated with misreporting of reasons for purchasing PHI, type of cover and length of cover.
- Sprache
-
Englisch
- Erschienen in
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Series: GLO Discussion Paper ; No. 1215
- Klassifikation
-
Wirtschaft
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Health Insurance, Public and Private
- Thema
-
Health Insurance
Measurement Error
Administrative Data
Survey Misreporting
Linked Data
Australia
- Ereignis
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Geistige Schöpfung
- (wer)
-
Nguyen, Ha Trong
Le, Huong Thu
Connelly, Luke
Mitrou, Francis
- Ereignis
-
Veröffentlichung
- (wer)
-
Global Labor Organization (GLO)
- (wo)
-
Essen
- (wann)
-
2022
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Nguyen, Ha Trong
- Le, Huong Thu
- Connelly, Luke
- Mitrou, Francis
- Global Labor Organization (GLO)
Entstanden
- 2022