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David E. Bloom

Researcher at Harvard University

Publications -  627
Citations -  37228

David E. Bloom is an academic researcher from Harvard University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 83, co-authored 575 publications receiving 33536 citations. Previous affiliations of David E. Bloom include Douglas Mental Health University Institute & University of Michigan.

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The new economics of labor migration

TL;DR: This paper reviewed selected theoretical and empirical developments in the field of labor migration economics and found that the migration behavior of individuals differs in accordance with their perceived relative deprivation; those who were relatively more deprived tend to have stronger incentive to migrate than those who are relatively less deprived, while a reference group characterized by more income inequality is likely to generate more relative deprivation.
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The Global Economic Burden of Noncommunicable Diseases

TL;DR: New estimates of the global economic burden of non-communicable diseases in 2010 are developed, and the size of the burden through 2030 is projected, to capture the thinking of the business community about the impact of NCDs on their enterprises.
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Geography, demography, and economic growth in Africa.

TL;DR: The effects of climate, topography, and natural ecology on public health, nutrition, demographics, technological diffusion, international trade and other determinants of economic development in Africa are presented.
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Demographic Transitions and Economic Miracles in Emerging Asia

TL;DR: In this paper, the authors show that the demographic transition from high to low rates of mortality and fertility has been more dramatic in East Asia during this century than in any other region or historical period, and that this transition has contributed substantially to East Asia's so-called economic miracle.
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The Effect of Health on Economic Growth: A Production Function Approach

TL;DR: This article showed that good health has a positive, sizable, and statistically significant effect on aggregate output, even when controlling for experience of the workforce, and argued that the life expectancy effect in growth regressions appears to be a real labor productivity effect, and is not the result of life expectancy acting as a proxy for worker experience.