Explaining income-related inequalities in doctor utilisation in Europe.
By E. van Doorslaer, X. Koolman, Andrew M. Jones. Health Economics, 2004
746 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Health Professions
View Paper: https://www.semanticscholar.org/paper/4a63a1d4010fb8e64f3ad7ed426f0a8c3ce6c4a4
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In Economics and Econometrics
In General Health Professions
Citations in the corpus
- Inequalities in access to medical care by income in developed countries (2006, methodology): “We have used sample weighted least squares estimation, since the inequity indices and quintile distributions obtained are very similar to those obtained using more sophisticated nonlinear models.(2,6) To measure the degree of horizontal inequity in health care use we compared the actual observed dis”
- Labour market- versus life course-related social policies: understanding cross-programme differences (2012, background): “Rather, take-up is skewed towards middle- and high-income earners, presumably because usage is influenced by the stock of cultural capital, which overwhelmingly rests with these groups (van Doorslaer et al. 2004, 2006; Grand 1978, 1982; Jæger 2009; Pfeffer 2008; Shavit and Blossfeld 1993).”
- Contribution of primary care to health systems and health. (2005, background): “The findings persisted even after controlling for socioeconomic differences, thus confirming other findings ( van Doorslaer, Koolman, and Jones 2004 ) that a health system oriented toward primary care services (such as in the United Kingdom) reduced the disparities in health care so prominent in the”
- Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models (2006, methodology): “Categorical measures of SAH have been shown to be good predictors of subsequent use of medical care (see for example van Doorslaer et al. (2000, 2004)).”