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This paper focuses on the long-term impacts of attending a high school with inadequate sports facilities. We use prospective data from the British National Child Development Study, a continuing panel of a cohort of 17,634 children born in Great Britain during a single week of March 1958. Our empirical approach exploits the educational system they were exposed to: children were sorted by educational ability at age 11, but conditional on educational ability, attended their closest school. This produces quasi-random variation in the quality of the school sports facilities across respondents. We use this variation between cohort members residing within the same local authority area, and focus on outcome measures of physical activity, health, health-related lifestyle activities, and socioeconomic status, collected at ages between 33 and 50 years. We control for any potential links between the inadequacy of sports facilities and inadequacy of other facility types, and test that allocation to school type is random with respect to pre-high school observables. We find that attending a school with inadequate sports facilities led to a statistically significant, modest decrease in the likelihood of physical activity participation during adulthood. In contrast, we find no evidence that inadequate sports facilities worsened adulthood measures of physical and mental health, lifestyle or socioeconomic status., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Self-assessed health (SAH) measures are widely used in models of health and health inequalities. Such models assume that SAH is a reliable measure of health status. We utilise a unique feature of a national longitudinal survey to examine the consistency of responses to a standard SAH question that is asked twice to the same individual in close temporal proximity in up to three waves (2001, 2009, and 2013). In particular, we analyse whether the consistency of responses varies with personal characteristics. The main analysis sample includes 18,834 individual-year observations. We find that 57% of respondents provide inconsistent reports at least once. Characteristics that are associated with significantly higher inconsistencies are age, education, cognitive ability, and time between responses. The results suggest that there are systematic differences in the ability of individuals' to self-evaluate and summarise their own health. Consequently, failure to account for such error may lead to large estimation biases in models of health outcomes, particularly with respect to the relationship between education, cognitive ability, and health., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

We investigate if there is a causal link between education and health knowledge using data from the 1984/85 and 1991/92 waves of the UK Health and Lifestyle Survey (HALS). Uniquely, the survey asks respondents what they think are the main causes of ten common health conditions, and we compare these answers to those given by medical professionals to form an index of health knowledge. For causal identification we use increases in the UK minimum school leaving age in 1947 (from 14 to 15) and 1972 (from 15 to 16) to provide exogenous variation in education. These reforms predominantly induced adolescents who would have left school to stay for one additionally mandated year. OLS estimates suggest that education significantly increases health knowledge, with a one-year increase in schooling increasing the health knowledge index by 15% of a standard deviation. In contrast, estimates from instrumental-variable models show that increased schooling due to the education reforms did not significantly affect health knowledge. This main result is robust to numerous specification tests and alternative formulations of the health knowledge index. Further research is required to determine whether there is also no causal link between higher levels of education - such as post-school qualifications - and health knowledge., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Self-assessed general health (SAH) is one of the most frequently employed health measures in social science research. Its generic nature means it captures elements of health that more guided measures cannot, and its brevity makes it possible for health information to be included in crowded multifaceted surveys. However, a shortcoming of SAH is that it provides little guidance to researchers as to what individuals are thinking of when they assess their health - when a survey respondent reports that their health is "poor", is it because they are in pain, tired, depressed, unable to climb stairs, or something else entirely? This limits the possible inference from empirical research. It also means that important determinants and consequences of health can be missed if they are only weakly reflected in SAH. Given the continued use of SAH, it is important to better understand its structure. In this paper we use household panel data from Australia to answer two related questions: (i) what components of health does SAH most strongly represent? and (ii) does the use of SAH conceal important health effects? To answer the first question, we use a detailed health instrument and take a rigorous econometric approach to identify the health dimensions most strongly reflected in SAH. To answer the second question, we estimate the causal effects of income on SAH and on disaggregated health measures using instrumental-variables models. We find that some health dimensions - especially vitality - are consistently important to an individual when they assess their health, while other dimensions are inconsequential. We demonstrate that this fact provides insight in to why some studies find weak income gradients in SAH. Instrumental-variable regression results show that shocks to household income have no effect on SAH, but strongly improve several dimensions of health that are less commonly measured., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Sector Wide Approaches (SWAp) emerged during the 1990s as a new policy mechanism for aid delivery. Eschewing many features of traditional project-based aid, SWAps give greater control of aid allocation to recipient countries. Some critics have questioned whether reducing a donor's level of influence over aid allocation might lead to a decrease in donor contributions. While some qualitative evaluations have described the level of fund pooling and donor participation in SWAps, no previous study has empirically examined this potential 'donor-flight' response to health SWAp implementation. This paper utilises a uniquely compiled dataset of 46 low-income countries over 1990-2009 and a variety of panel data regression models to estimate the impact of health SWAp implementation on levels of health aid. Results suggest that amongst 16 especially poor low-income countries, SWAp implementation is associated with significant decreases in health aid levels compared with non-implementers. This suggests donors are not indifferent to how their contributions are allocated by recipients, and that low-income countries considering a SWAp may need to weigh the benefits of greater control of aid allocations against the possibility of reduced aid income., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

There is considerable policy interest in the impact of macroeconomic conditions on health-related behaviours and outcomes. This paper sheds new light on this issue by exploring the relationship between macroeconomic conditions and an indicator of problem drinking derived from state-level data on alcoholism-related Google searches conducted in the US over the period 2004-2011. We find the current recessionary period coincided with an almost 20% increase in alcoholism-related searches. Controlling for state and time-effects, a 5% rise in unemployment is followed in the next 12 months by an approximate 15% increase in searches. The use of Internet searches to inform on health-related behaviours and outcomes is in its infancy; but we suggest that the data provides important real-time information for policy-makers and can help to overcome the under-reporting in surveys of sensitive information., (Copyright © 2013 Elsevier Ltd. All rights reserved.)