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Paul Contoyannis

Other affiliations: University of York
Bio: Paul Contoyannis is an academic researcher from McMaster University. The author has contributed to research in topics: British Household Panel Survey & Quantile regression. The author has an hindex of 14, co-authored 26 publications receiving 1827 citations. Previous affiliations of Paul Contoyannis include University of York.

Papers
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TL;DR: In this article, the authors consider the dynamics of a categorical indicator of self-assessed health using eight waves (1991-1998) of the British Household Panel Survey (BHPS).
Abstract: This paper considers the dynamics of a categorical indicator of self-assessed health using eight waves (1991–1998) of the British Household Panel Survey (BHPS). Our analysis has three focal points: the relative contributions of state dependence and heterogeneity in explaining the dynamics of health, the existence and consequences of health-related sample attrition, and the investigation of the effects of measures of socioeconomic status, with a particular focus on educational attainment and income. To investigate these issues we use dynamic panel ordered probit models. There is clear evidence of health-related attrition in the data but this does not distort the estimates of state dependence and of the socioeconomic gradient in health. The models show strong positive state dependence and heterogeneity accounts for around 30% of the unexplained variation in health. Copyright © 2004 John Wiley & Sons, Ltd.

529 citations

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TL;DR: It is found that sleeping well, exercising, and not smoking in 1984 have dramatic positive effects on the probability of reporting excellent or good SAH in 1991, and that these effects are much larger having accounted for endogeneity.

401 citations

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263 citations

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TL;DR: In this article, the effect of self-assessed general and psychological health on hourly wages using longitudinal data from six waves of the British Household Panel Survey was investigated, and it was shown that reduced psychological health reduces the hourly wage for males, while excellent selfassessed health increases the hourly wages for females.
Abstract: While income is generally considered an important determinant of health, little evidence has been offered on the reverse relationship, particularly for developed economies. This paper considers the effect of self-assessed general and psychological health on hourly wages using longitudinal data from six waves of the British Household Panel Survey. We employ single equation fixed effects and random effects instrumental variable estimators suggested by Hausman and Taylor (1981), Amemiya and MaCurdy (1986), and Breusch, Mizon and Schmidt (1989). Our results show that reduced psychological health reduces the hourly wage for males, while excellent self-assessed health increases the hourly wage for females. We also find the health variables to be positively correlated with the time-invariant individual effect. Further, we confirm the findings of previous work which suggested that the majority of the efficiency gains from the use of the instrumental variables estimators fall on the time-invariant endogenous variables, in our case academic attainment, and add further support to the hypothesis of a negative correlation between educational attainment and individual characteristics which affect wages.

145 citations

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TL;DR: It is found that health insurance reduces average out-of-pocket expenditures by approximately 200%.

129 citations


Cited by
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Janet Currie1
TL;DR: In this paper, the authors explored the link between parental socioeconomic status (as measured by education, income, occupation, or in some cases area of residence) and child health, and between child health and adult education or income.
Abstract: There are many possible pathways between parental education, income, and health, and between child health and education, but only some of them have been explored in the literature. This essay focuses on links between parental socioeconomic status (as measured by education, income, occupation, or in some cases area of residence) and child health, and between child health and adult education or income. Specifically, I ask two questions: What is the evidence regarding whether parental socioeconomic status affects child health? And, what is the evidence relating child health to future educational and labor market outcomes? I show that there is now strong evidence of both links, suggesting that health could play a role in the intergenerational transmission of economic status.

1,417 citations

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TL;DR: The authors found that children from lower income households with chronic conditions have worse health than do those from higher income households, and that adverse health effects of lower income accumulate over children's lives.
Abstract: The well-known positive association between health and income in adulthood has antecedents in childhood. Not only is children’s health positively related to household income, but the relationship between household income and children's health becomes more pronounced as children age. Part of the relationship can be explained by the arrival and impact of chronic conditions. Children from lower income households with chronic conditions have worse health than do those from higher-income households. The adverse health effects of lower income accumulate over children’s lives. Part of the intergenerational transmission of socioeconomic status may work through the impact of parents' income on children’s health.

1,333 citations

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TL;DR: The results suggest that access to a supportive physical environment is necessary, but may be insufficient to increase recommended levels of physical activity in the community, and that greater emphasis be placed on creating streetscapes that enhance walking for recreation and transport.

1,310 citations

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04 Jul 2007-JAMA
TL;DR: Pharmacy benefit design represents an important public health tool for improving patient treatment and adherence and increased cost sharing is highly correlated with reductions in pharmacy use, but the long-term consequences of benefit changes on health are still uncertain.
Abstract: ContextPrescription drugs are instrumental to managing and preventing chronic disease. Recent changes in US prescription drug cost sharing could affect access to them.ObjectiveTo synthesize published evidence on the associations among cost-sharing features of prescription drug benefits and use of prescription drugs, use of nonpharmaceutical services, and health outcomes.Data SourcesWe searched PubMed for studies published in English between 1985 and 2006.Study Selection and Data ExtractionAmong 923 articles found in the search, we identified 132 articles examining the associations between prescription drug plan cost-containment measures, including co-payments, tiering, or coinsurance (n = 65), pharmacy benefit caps or monthly prescription limits (n = 11), formulary restrictions (n = 41), and reference pricing (n = 16), and salient outcomes, including pharmacy utilization and spending, medical care utilization and spending, and health outcomes.ResultsIncreased cost sharing is associated with lower rates of drug treatment, worse adherence among existing users, and more frequent discontinuation of therapy. For each 10% increase in cost sharing, prescription drug spending decreases by 2% to 6%, depending on class of drug and condition of the patient. The reduction in use associated with a benefit cap, which limits either the coverage amount or the number of covered prescriptions, is consistent with other cost-sharing features. For some chronic conditions, higher cost sharing is associated with increased use of medical services, at least for patients with congestive heart failure, lipid disorders, diabetes, and schizophrenia. While low-income groups may be more sensitive to increased cost sharing, there is little evidence to support this contention.ConclusionsPharmacy benefit design represents an important public health tool for improving patient treatment and adherence. While increased cost sharing is highly correlated with reductions in pharmacy use, the long-term consequences of benefit changes on health are still uncertain.

791 citations

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TL;DR: In this article, the authors propose a method for decomposing inequalities in the health sector into their causes, by coupling the concentration index with a regression framework, and show how changes in inequality over time, and differences across countries, can be decomposed into the following: changes due to changing inequalities of the determinants of the variable of interest.

759 citations