Impacts and Determinants of Health Levels in Low-Income Countries
Dupas, Pascaline, and Edward Miguel. "Impacts and Determinants of Health Levels in Low-Income Countries", 2017, Handbook of Field Experiments, (eds.) Esther Duflo and Abhijit Banerjee.
Willingness to pay for cleaner water in less developed countries: systematic review of experimental evidence
Methodologies to Evaluate Early Childhood Development Programs
Ethnically biased? Experimental Evidence from Kenya
The case for mass treatment of intestinal helminths in endemic areas
Global non-linear effect of temperature on economic production
We show that overall economic productivity is nonlinear in temperature for all countries, with productivity peaking at an annual average temperature of 13 C and declining strongly at higher temperatures. The relationship is globally generalizable, unchanged since 1960, and apparent for agricultural and non-agricultural activity in both rich and poor countries, with important implications. If future adaptation mimics past adaptation, unmitigated warming is expected to reshape the global economy by reducing average global incomes roughly 23% by 2100 and widening global income inequality, relative to scenarios without climate change.
War and Deforestation in Sierra Leone
The impact of armed conflict on the environment is of major public policy importance. We use a geographically disaggregated dataset of civil war violence together with satellite imagery of land cover to test whether war facilitated or prevented forest loss in Sierra Leone. The conflict data set allows us to establish where rebel groups were stationed and where battles and attacks occurred. The satellite data enables to us to monitor the change in forest cover (total, primary, and secondary) in all of Sierra Leone's 151 chiefdoms, between 1990 (prior to the war) and 2000 (just prior to its end). The results suggest that conflict in Sierra Leone acted as a brake on local deforestation: conflict-ridden areas experienced significantly less forest loss relative to their more conflict-free counterparts.
Worms at work: Long-run impacts of a child health investment
This study estimates long-run impacts of a child health investment, exploiting community-wide experimental variation in school-based deworming. The program increased labor supply among men and education among women, with accompanying shifts in labor market specialization. Ten years after deworming treatment, men who were eligible as boys stay enrolled for more years of primary school, work 17% more hours each week, spend more time in non-agricultural self-employment, are more likely to hold manufacturing jobs, and miss one fewer meal per week. Women who were in treatment schools as girls are approximately one quarter more likely to have attended secondary school, halving the gender gap. They reallocate time from traditional agriculture into cash crops and non-agricultural self-employment. We estimate a conservative annualized financial internal rate of return to deworming of 32%, and show that mass deworming may generate more in future government revenue than it costs in subsidies.
Commentary: Deworming externalities and schooling impacts in Kenya: a comment on Aiken et al. (2015) and Davey et al. (2015)
Aiken et al. (2015) and Davey et al (2015) draw the conclusion that the evidence for a relationship between deworming and school attendance is “weak” based on two fundamental errors in their data analysis. First, the authors redefine treatment to include pre-treatment control periods. Second, while the original research design was based on a stepped-wedge analysis that was adequately powered, the re-analysis authors undertake a clearly under-powered alternative analysis which ignores the time series element of the data, and then splits the cross-sectional analysis into two separate components, each of which has inadequate power. Examining the fully powered analysis, they report that in a fully-adjusted logistic regression model making maximum use of the data available, there is strong evidence of an improvement in school attendance. If either error is corrected, deworming significantly increases school attendance under the full range of statistical analyses considered by Davey et al. Their analysis also underestimates the impact of deworming on school attendance by neglecting violations of the SUTVA assumption generated by transmission of worm infection to nearby schools (as in Miguel and Kremer 2004).