Institut für Volkswirtschaftslehre

Permanent URI for this collectionhttps://hohpublica.uni-hohenheim.de/handle/123456789/24

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Going beyond GDP with a parsimonious indicator : inequality-adjusted healthy lifetime income
(2020) Yamey, Gavin; Prettner, Klaus; Ogbuoji, Osondu; Kufenko, Vadim; Fan, Victoria Y.; Bloom, David E.
Per capita GDP has limited use as a well-being indicator because it does not capture many dimensions that imply a “good life,” such as health and equality of opportunity. However, per capita GDP has the virtues of easy interpretation and can be calculated with manageable data requirements. Against this backdrop, a need exists for a measure of well-being that preserves the advantages of per capita GDP, but also includes health and equality. We propose a new parsimonious indicator to fill this gap and calculate it for 149 countries.
The contribution of female health to economic development
(2016) Prettner, Klaus; Kuhny, Michael; Bloom, David E.
We analyze the economic consequences for less developed countries of investing in female health. We do this through developing and calibrating a novel micro-founded dynamic general equilibrium model in which parents trade off the number of children against investments in their education and in which we allow for health-related gender differences in productivity. We show that better female health speeds up the demographic transition and thereby the take-off toward sustained economic growth. By contrast, male health improvements delay the transition and take-off because ceteris paribus they raise fertility. Investing in female health is therefore a potent lever for promoting development.
The economic burden of chronic diseases : estimates and projections for China, Japan, and South Korea
(2017) Prettner, Klaus; Oxley, Les; Bloom, David E.; Chen, Simiao; Kuhn, Michael; McGovern, Mark E.
We propose a novel framework to analyse the macroeconomic impact of noncommunicable diseases. We incorporate measures of disease prevalence into a human capital augmented production function, which enables us to determine the economic costs of chronic health conditions in terms of foregone gross domestic product (GDP). Unlike previously adopted frameworks, this approach allows us to account for i) variations in human capital for workers in different age groups, ii) mortality and morbidity effects of non-communicable diseases, and iii) the treatment costs of diseases. We apply our methodology to China, Japan, and South Korea, and estimate the economic burden of chronic conditions in five domains (cardiovascular diseases, cancer, respiratory diseases, diabetes, and mental health conditions). Overall, total losses associated with these non-communicable diseases over the period 2010-2030 are $16 trillion for China (measured in real USD with the base year 2010), $5.7 trillion for Japan, and $1.5 trillion for South Korea. Our results also highlight the limits of cost-effectiveness analysis by identifying some intervention strategies to reduce disease prevalence in China that are cost beneficial and therefore a rational use of resources, though they are not cost-effective as judged by conventional thresholds.

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