Cut-point shift and index shift in self-reported health

Lindeboom, Maarten; Doorslaer, Eddy van

doi:10.1016/j.jhealeco.2004.01.002

Cited by 342 publications

(322 citation statements)

References 19 publications

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“…Another strand of the literature [13] Effects of different wordings in questionnaires and consequences of reporting bias and heterogeneity are studied by Hernández-Quevedo et al [14]. They focus on the existence of index and cut-point shifts in the British Household Panel Survey.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The effects of reporting heterogeneity can be divided into an index and a cut-point shift [13]. An index shift is present when the distribution of our variable of interest shifts completely to the right or left but the shape remains unchanged.…”

Section: Index Shift and Cut-point Shiftmentioning

confidence: 99%

“…One example is when in a specific cultural group all individuals are more reserved about their health evaluation [13]. An example for a cut-point shift is if the cultural subgroup is self-conscious about the sentence's wording in the questionnaire and if this leads to a change in the relative position of the categories e. g. in the threshold for the category "very good".…”

Section: Index Shift and Cut-point Shiftmentioning

confidence: 99%

“…Instead, they state that the parallel shift in the distribution may be due to a cut-point shift or due to a shift in the underlying measure of true health, i. e. the latent variable. 8 Lindeboom and van Doorslaer [13] suggest a test procedure for both types of reporting heterogeneity. In their empirical model, they specify one equation for latent true health and one for the subjective health measure.…”

Section: Index Shift and Cut-point Shiftmentioning

confidence: 99%

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I feel good! Gender differences and reporting heterogeneity in self-assessed health

et al. 2011

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For empirical analysis and policy-oriented recommendation, the precise measurement of individual health or well-being is essential. The problem with variables based on questionnaires such as selfassessed health is that the answer may depend on individual reporting behaviour. Moreover, if individual"s health perception varies with certain attitudes of the respondent reporting heterogeneity may lead to index or cut-point shifts of the health distribution, causing estimation problems. We analyse the reporting behaviour of individuals on their self-assessed health status, a five-point categorical variable. We explore observed heterogeneity in categorical variables and include unobserved individual heterogeneity using German panel data. Estimation results show different impacts of socioeconomic and health related variables on the five subscales of self-assessed health.Moreover, the answering behaviour varies between female and male respondents, pointing to gender specific perception and assessment of diseases. Reporting behaviour on self-assessed health questions in surveys is problematic due to a possible heterogeneity. Hence, in case of reporting heterogeneity, using self-assessed measures in empirical studies may be misleading or at least ambiguous. JEL-Classification: I12, C21

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Section: Literature Reviewmentioning

confidence: 99%

Section: Index Shift and Cut-point Shiftmentioning

confidence: 99%

Section: Index Shift and Cut-point Shiftmentioning

confidence: 99%

Section: Index Shift and Cut-point Shiftmentioning

confidence: 99%

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I feel good! Gender differences and reporting heterogeneity in self-assessed health

et al. 2011

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“…However, the comparability of self-reported measures across groups of individuals has been questioned in a number of studies [2,3,4]. One major concern with self-assessed health is that respondents do not perceive the health self-assessment scale given to them as absolute.…”

Section: Introductionmentioning

confidence: 99%

True health vs response styles: exploring cross‐country differences in self‐reported health

2006

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Abstract:The aim of this paper is to decompose cross-national differences in selfreported general health into parts explained by differences in "true" health, measured by diagnosed conditions and measurements, and parts explained by cross-cultural differences in response styles. The data used were drawn from the Survey of Health, Ageing and Retirement in Europe 2004 (SHARE), using information from 22,731 individuals aged 50 and over from 10 European countries. Self-rated general health shows large cross-country variations. According to their self-reports, the healthiest respondents live in the Scandinavian countries and the least healthy live in Southern Europe. Counterfactual self-reported health distributions that assume identical response styles in each country show much less variation in self-reports than factual self-reports. Danish and Swedish respondents tend to largely over-rate their health (relative to the average) whereas Germans tend to under-rate their health. If differences in reporting styles are taken into account, cross-country variations in general health are reduced but not eliminated. Failing to account for differences in reporting styles may yield misleading results.

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Using Anchoring Vignettes to Correct for Differential Response Scale Usage in 3MC Surveys

Lee

2018

Advances in Comparative Survey Methods

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Cut-point shift and index shift in self-reported health

Cited by 342 publications

References 19 publications

I feel good! Gender differences and reporting heterogeneity in self-assessed health

I feel good! Gender differences and reporting heterogeneity in self-assessed health

True health vs response styles: exploring cross‐country differences in self‐reported health

Using Anchoring Vignettes to Correct for Differential Response Scale Usage in 3MC Surveys

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