@article{Datta:61179,
      recid = {61179},
      author = {Datta, Saurabh and Reimer, Jeffrey J.},
      title = {Malaria and National Income: Examining a Two Way Causal  Relationship},
      address = {2010},
      number = {320-2016-10384},
      series = {Selected Poster},
      pages = {2},
      year = {2010},
      abstract = {Simple plots of data show that malaria has a negative  correlation with national income per capita, whether  looking across countries at a point in time, or looking at  a single country over time.  Some countries have been able  to move from an equilibrium characterized by low income and  high malaria, to a new equilibrium with higher income and  lower rates of malaria.  This study develops and estimates  a simultaneous equations model to explain these changes.   We distinguish three potential causal chains: (a) the  ability for decreases in malaria to increase income, (b)  the ability for increases in income to reduce malaria  (reverse causality), and (c) external factors that may lead  to both higher income and lower malaria (incidental  association).  We find that changes in income have a much  stronger effect on malaria than the other way around.   While a 1% rise in the number of malaria cases per million  decreases income per capita by less than 0.01%, a 1% rise  in income per capita decreases the number of malaria cases  per million by more than 1.1%.  If income were just 1%  higher in the 100 countries of the sample, 603,189 cases of  malaria could be averted annually.},
      url = {http://ageconsearch.umn.edu/record/61179},
      doi = {https://doi.org/10.22004/ag.econ.61179},
}