Health determinants and the reporting heterogeneity bias in Russia: Anchoring vignettes approach
Yulia Raskina (),
Olga Podkorytova and
Ruslan Kuchakov ()
Additional contact information
Yulia Raskina: European University at St. Petersburg, St. Petersburg, Russian Federation
Ruslan Kuchakov: European University at St. Petersburg, St. Petersburg, Russian Federation
Authors registered in the RePEc Author Service: Юлия Владимировна Раскина
Applied Econometrics, 2022, vol. 66, 118-143
Abstract:
We show the reporting heterogeneity bias into all 7 domains of health using the anchoring vignettes approach with the hierarchical ordered probit model. The paper uses the data of the Russian sample of the first wave of the global survey SAGE provided by the World Health Organization Study. The heterogeneity bias correction has changed the significance level of education level, permanent income, rural/urban living, and marital status.
Keywords: determinants of health; reporting heterogeneity bias; anchoring vignettes; HOPIT; Russia; SAGE (search for similar items in EconPapers)
JEL-codes: C21 I12 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://pe.cemi.rssi.ru/pe_2022_66_118-143.pdf Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ris:apltrx:0449
Access Statistics for this article
Applied Econometrics is currently edited by Anatoly Peresetsky
More articles in Applied Econometrics from Russian Presidential Academy of National Economy and Public Administration (RANEPA)
Bibliographic data for series maintained by Anatoly Peresetsky ().