Reporting Heterogeneity and Health Disparities Across Gender and Education Levels: Evidence From Four Countries.
I use anchoring vignettes from Indonesia, the United States, England, and China to study the extent to which differences in self-reported health across gender and education levels can be explained by the use of different response thresholds. To determine whether statistically significant differences...
| Publicado en: | Demography (Springer Nature) Vol. 53; no. 2; pp. 295 - 324 |
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| Formato: | journal article |
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Springer Nature
Apr2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=114149314&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 114149314 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00703370 DEM jtl: Demography (Springer Nature) issn: 00703370 maglogo: N pubinfo: dt: Apr2016 vid: 53 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 114149314 10.1007/s13524-016-0456-z ppf: 295 ppct: 29 formats: fmt: @attributes: type: P size: 872KB tig: atl: Reporting Heterogeneity and Health Disparities Across Gender and Education Levels: Evidence From Four Countries. aug: au: Molina, Teresa affil: Department of Economics and USC-INET, University of Southern California, Kaprielian Hall 300, 3620 S. Vermont Avenue Los Angeles 90089 USA su: Discrimination in medical care Health equity Medical care of poor people Medical care of minorities Health behavior Affluent consumers sug: subj: Discrimination in medical care Health equity Medical care of poor people Medical care of minorities Health behavior Affluent consumers keyword: Anchoring vignettes Gender health disparities Self-reported health SES-health disparities Anchoring vignettes Gender health disparities Self-reported health SES-health disparities ab: I use anchoring vignettes from Indonesia, the United States, England, and China to study the extent to which differences in self-reported health across gender and education levels can be explained by the use of different response thresholds. To determine whether statistically significant differences between groups remain after adjusting thresholds, I calculate standard errors for the simulated probabilities, largely ignored in previous literature. Accounting for reporting heterogeneity reduces the gender gap in many health domains across the four countries, but to varying degrees. Health disparities across education levels persist and even widen after equalizing thresholds across the two groups. pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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