Health economics最新文献

The side effects of technological progress on the economy have been discussed frequently, but little is known regarding its health consequences. By combining the national individual-level panel data of alcohol drinking with the prefecture-level robot exposure rate in China, we find that one more robot exposure rate could induce up to 2.2% points increase in the probability of problem drinking. Such a pattern of problem drinking is explained by negative emotions, which can be ascribed to job loss due to substitution, higher income vulnerability, and reduced organization participation. Further, we provide evidence that automation can incur health costs, particularly for easily substituted workers, which would exacerbate health inequality in China. This paper sheds light on the impact of automation and the social incentives of problem drinking, emphasizing the possibly heterogeneous health cost accompanied by the automation process.

Values that accompany generic health measures are typically anchored at 1 = full health and 0 = dead. Some health states may then be considered ‘worse than dead’ (WTD) and assigned negative values, which causes fundamental measurement problems. In this paper, we challenge the assumption that anchoring values at ‘dead = 0’ is necessary for quality-adjusted life year (QALY) estimation. We summarise the role of ‘dead’ in health state valuation and consider three critical questions: (i) whether the measurement properties of health state values require ‘dead’; (ii) whether ‘dead’ needs to be valued relative to health states; and (iii) whether values for states WTD are meaningful or useful. We conclude that anchoring 0 at dead is not a requirement of health status measurement or cost-effectiveness analysis. This results from reframing QALYs as the relevant unit of measurement and reframing values as being derived from QALYs rather than the reverse.

Public and private investments in physician human capital support a healthcare workforce to provide future medical services nationwide. Yet, little is known about how introducing training labor influences hospitals' provision of care. We leverage all-payer data and emergency medicine (EM) and obstetrics (OBGYN) residency program debuts to estimate local access and treatment intensity effects. We find that the introduction of EM programs coincides with less treatment intensity and suggestive increases in throughput. OBGYN programs adopt the pre-existing surgical tendencies of the hospital but may also relax some capacity constraints—allowing the marginal mother to avoid a riskier nearby hospital.

This paper studies the patterns and consequences of birth timing manipulation around the carnival holiday in Brazil. We document how births are displaced around carnival and estimate the effect of displacement on birth indicators. We show that there is extensive birth timing manipulation in the form of both anticipation and postponement that results in a net increase in gestational length and reductions in neonatal and early neonatal mortality, driven by postponed births that would otherwise happen through scheduled c-sections. We also find a reduction in birthweight for high-risk births at the bottom of the weight distribution, driven by anticipation. Therefore, restrictions on usual delivery procedures due to the carnival holiday can be both beneficial and detrimental, raising a double-sided issue to be addressed by policymakers.

Using data from eight waves of the English Longitudinal Study of Aging, we study the cross-domain and cross-spouse spillover of health among married adults aged 50 and above in England. We apply the system generalized method of moments to linear dynamic panel models for physical, mental, and cognitive health, controlling for individual heterogeneity and the influence of marriage market matching and shared environments. Our findings reveal bidirectional spillovers between memory abilities and mobility difficulty among men, as well as between depressive symptoms and mobility difficulty among women. Worsening mobility increases the risk of depression in men, but not vice versa. Additionally, gender-specific cross-spouse effects are observed. Women's mental health is significantly influenced by their spouse's mental health, while this effect is weaker for men. Conversely, men's mental health is notably affected by their spouse's physical health. These results highlight the importance of considering spillovers within families and across health domains when developing policies to promote health and reduce health disparities among the elderly population.

Are teenage and adult smoking causally related? Recent anti-tobacco policy is predicated on the assumption that preventing teenagers from smoking will ensure that fewer adults smoke, but direct evidence in support of this assumption is scant. Using data from three nationally representative sources and instrumenting for teenage smoking with cigarette taxes experienced at ages 14–17, we document a strong positive relationship between teenage and adult smoking: deterring 10 teenagers from smoking through raising cigarette taxes roughly translates into 5 fewer adult smokers. We conclude that efforts to reduce teenage smoking can have long-lasting consequences on smoking participation and, presumably, health.

We examine the effect of Internet diffusion on the uptake of an important public health intervention: the measles, mumps and rubella (MMR) vaccine. We study England between 2000 and 2011 when Internet diffusion spread rapidly and there was a high profile medical article (falsely) linking the MMR vaccine to autism. OLS estimates suggest Internet diffusion led to an increase in vaccination rates. This result is reversed after allowing for endogeneity of Internet access. The effect of Internet diffusion is sizable. A one standard deviation increase in Internet penetration led to around a 20% decrease in vaccination rates. Localities characterized by higher proportions of high skilled individuals and lower deprivation levels had a larger response to Internet diffusion. These findings are consistent with higher skilled and less-deprived parents responding faster to false information that the vaccine could lead to autism.

Identifying determinants of heterogeneity in health outcomes continues to be a focus in the health economic literature. In this study, we analyze whether time preferences predict health outcomes in individuals with type 1 diabetes (T1D) who use insulin pump therapy to manage their condition. We collect data on time preferences using a hypothetical matching task and estimate aggregate as well as individual-level discounting parameters using the exponential, hyperbolic, and quasi-hyperbolic discounting models. These parameters are then regressed against essential diabetes-related health outcomes obtained from registries and medical records, including glycemic control, kidney function, BMI, and number of hospital contacts. Our analyses indicate that all three discounting models fit the data equally well. Except for hospital contacts, we find robust evidence that impatience, as reflected by higher discounting, predicts worse health outcomes. Additionally, present bias is associated with worse kidney function. Our findings suggest that time preferences can explain some of the heterogeneity in health among individuals with T1D and call for increased attention on the role of time preferences in the design of disease management programs for individuals with chronic conditions.

Prior to the 2014 Affordable Care Act (ACA) expansion, 37% of young adults ages 19–25 in the United States were low-income and a third lacked health insurance coverage—both the highest rates for any age group in the population. The ACA's Medicaid eligibility expansion, therefore, would have been significantly beneficial to low-income young adults. This study evaluates the effect of the ACA Medicaid expansion on the health, health care access and utilization, and financial well-being of low-income young adults ages 19–25. Using 2010–2017 National Health Interview Survey data, I estimate policy effects by applying a difference-in-differences design leveraging the variation in state implementation of the expansion policy. I show that Medicaid expansion improved health insurance coverage, health care access, and financial well-being for low-income young adults in expansion states, but had no effect on their health status and health care utilization. I also find that the policy was associated with larger gains in health coverage for racial minorities relative to their Non-Hispanic White counterparts. With the continued health policy reform debates at the state and federal levels, the empirical evidence from this study can help inform policy decisions that aim to improve health care access and utilization among disadvantaged groups.