This paper presents evidence on income-related inequalities in self-assessed health in nine industrialized countries. Health interview survey data were used to construct concentration curves of self-assessed health, measured as a latent variable. Inequalities in health favoured the higher income groups and were statistically significant in all countries. Inequalities were particularly high in the United States and the United Kingdom. Amongst other European countries, Sweden, Finland and the former East Germany had the lowest inequality. Across countries, a strong association was found between inequalities in health and inequalities in income.

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Economists rely heavily on self-reported measures of health status to examine the relationship between income and health. In this paper we directly compare survey responses to a self-reported measure of health that is commonly available in nationally-representative individual and household surveys, with objective measures of the same health condition. Our particular focus is on hypertension, which is the most prevalent health condition in Western countries. Using data from the Health Survey for England, we find that there is a substantial difference in the percentage of adult survey respondents reporting that they have hypertension as a chronic health condition compared to that from repeated measurements by a trained nurse. Around 85% of individuals measured as having hypertension do not report having it as a chronic illness. Importantly, we find no evidence of an income/health gradient using self-reported hypertension, but a large (about 14 times the size) gradient when using objectively measured hypertension. We also find that the probability of false negative reporting, that is an individual not reporting to have chronic hypertension when in fact they have it, is significantly higher for individuals living in low income households. Given the wide use of such self-reported chronic health conditions in applied research, and the asymptomatic nature of many major illnesses such as hypertension, diabetes, heart dis ease and cancer at moderate and sometimes very elevated levels, we show that using commonly available self-reported chronic health measures is likely to lead to an underestimate of true income -related inequalities in health. This has important implications for policy advice.

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Payer-driven competition has been widely advocated as a means of increasing efficiency in health care markets. The 1990s reforms to the UK health service followed this path. We examine whether competition led to better outcomes for patients, as measured by death rates after treatment following heart attacks. We exploit differences in competition over time and space to identify the impact of competition. Using data on mortality as a measure of hospital quality and exploiting the policy change during the 1990s, we find that the relationship between competition and quality of care appears to be negative.

In this paper we examine the causal impact of competition on management quality. We analyze the hospital sector where geographic proximity is a key determinant of competition, and English public hospitals where political competition can be used to construct instrumental variables for market structure. Since almost all major English hospitals are government run, closing hospitals in areas where the governing party has a small majority is rare due to fear of electoral punishment. We find that management quality -measured using a new survey tool -is strongly correlated with financial and clinical outcomes such as survival rates from emergency heart attack admissions (AMI). More importantly, we find that higher competition (as indicated by a greater number of neighboring hospitals) is positively correlated with increased management quality, and this relationship strengthens when we instrument the number of local hospitals with local political competition. Adding another rival hospital increases the index of management quality by one third of a standard deviation and leads to a 10.7% reduction in heart-attack mortality rates.