The economic burden of malaria.
By J. Gallup, J. Sachs. American Journal of Tropical Medicine and Hygiene, 2001
1,720 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Health Information Management, Information Systems
View Paper: https://www.semanticscholar.org/paper/807131a295fbb9444a039b8b76ce1dbab6efbd31
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Daron Acemoglu
- Philippe Aghion
- David Hémous
- Henry G. Overman
- Stephen J. Redding
- Elias Papaioannou
- David E. Bloom
- David Canning
In Health Information Management
- Elias Papaioannou
- W. Krugell
- Wim Naudé
- Stelios Michalopoulos
- J. Sevilla
- David Canning
- David E. Bloom
- P. Dorman
In Information Systems
- Daron Acemoglu
- Philippe Aghion
- Elias Papaioannou
- W. Krugell
- Wim Naudé
- Stelios Michalopoulos
- J. Sevilla
- David Canning
Citations in the corpus
- Space and Growth (2004, background): “Bloom and Sachs (1998) and Gallup and Sachs (2001) find that the incidence of malaria has a negative effect on economic growth, after controlling for other variables related to policy, human capital and general health.”
- The economic and social burden of malaria (2002, result): “In fact, a comparison of income in malarious and non-malarious countries indicates that average GDP (adjusted to give parity of purchasing power) in malarious countries in 1995 was USd1,526, compared with USd8,268 in countries without intensive malaria — more than a fivefold differenc”
- Ruggedness: The Blessing of Bad Geography in Africa (2012, neutral): “5 For example, Gerrard (2000) constructs a measure of the percentage of each country that is covered by mountains, which is used by Fearon and Laitin (2003), Collier and Hoeffler (2004), and others in studies of civil war and conflict. Ramcharan (2006) uses data from the Center for International Ear”
- The Effect of Health on Economic Growth: A Production Function Approach (2004, methodology): “…error) Growth effect of increasing life expectancy by 5 years Data Estimator Other covariates (all papers have the log of initial income per capita or per worker) Gallup and Sachs (2000) Life expectancy 0.030 (0.009) 0.24 25-year cross-section, 1965–90, n ¼ 75 OLS Years of secondary…”
- The Environment and Directed Technical Change (2012, background): “Lct Ldt = pct pdt ' 1 1 Adt Act = Act Adt ' : (19)”
- Climate Risk, Cooperation and the Co-Evolution of Culture and Institutions (2017, background): “More recently, climatic conditions have been related to a number of socio-economic outcomes ranging from agricultural productivity, to health outcomes and social conflict (Adams et al., 1990; Gallup and Sachs, 2001; Miguel et al., 2004; Schlenker et al., 2005; Mendelsohn, 2007; Dell et al., 2012; Hs”
- Evolutionary and Historical Aspects of the Burden of Malaria (2002, background): “Throughout history (176) and to the present day (70), wherVOL.”
- The Economic Geography of Trade Production and Income: A Survey of Empirics (2001, background): “They find that these four variables account for 41% of the cross-country variation in social infrastructure and 60% of the cross-country variation in income per capita The work of Sachs and his coauthors has focussed largely on first nature geography (Gallup et al., 1999; Gallup and Sachs, 2000; McA”
- Social rights and economics: claims to health care and education in developing countries (2003, neutral): “At the macro level writers have argued that nutritional gains account for a large part of economic growth in Europe over the past two centuries (Fogel, 1994), that malaria and endemic diseases depress economic growth in Africa ( Gallup & Sachs, 2000 ), and that declining mortality and fertility rate”
- The Economics of Safety, Health, and Well-Being at Work: An Overview (2000, background): “[Mendeloff and Kagey (1990), Hunting and Weeks (1993), Leigh (1989), Tombs (1988), Nicholls (1989), Oleinick et al. (1995)] Thus, there is now a generally accepted view that size and risk are inversely correlated at all levels of scale.”
- Climate Change and Africa (2008, background): “Gallup and Sachs (2001) argue that, controlling for other factors, the impact of intensive malaria is to reduce income by two-thirds; a 10 per cent reduction in malaria is associated with 0.3 per cent p.a.”
- Pre-colonial Ethnic Institutions and Contemporary African Development (2012, methodology): “Following Gennaioli and Rainer (2006, 2007) we define a dummy variable that takes the value of zero when the group lacks any political organization beyond the local level or is organized as a petty chiefdom; the index equals one if Murdock classifies the ethnicity as being a large chiefdom or part o”
- Climate Change Futures: Health, Ecological and Economic Dimensions (2004, background): “3 growth rate percentage points per year (Gallup and Sachs 2001; WHO 2001).”