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Christopher B. Barrett
Cornell University
705Publications
73H-index
21.9kCitations
Publications 709
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#1Leah E. M. Bevis (OSU: Ohio State University)H-Index: 4
#2Christopher B. Barrett (Cornell University)H-Index: 73
Smaller farms and plots appear more productive per hectare than larger ones in most developing country data. Using unique plot-level panel data from Uganda, with agricultural plots matched over a decade using geospatial location, we estimate the size-productivity relationship using variation in plot size over time under plot fixed effects, as well as variation in plot size within a farm, under household-period fixed effects. Like many other authors, we find that the observed inverse relationship...
2 CitationsSource
Abstract Ten years ago, we offered reflections on the power and pitfalls of randomized controlled trials in development economics, arguing that the research community had lost its balance between theory, observational data and randomized experiments. We remain convinced of both the importance and the limits of RCTs for development economics research. But with another decade of RCTs under our collective belts, three issues now strike us as having become increasingly important. First, ethical risk...
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#1Carla P. Gomes (Cornell University)H-Index: 37
#2Thomas G. Dietterich (OSU: Oregon State University)H-Index: 58
Last.Mary Lou Zeeman (Bowdoin College)H-Index: 11
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These are exciting times for computational sciences with the digital revolution permeating a variety of areas and radically transforming business, science, and our daily lives. The Internet and the World Wide Web, GPS, satellite communications, remote sensing, and smartphones are dramatically accelerating the pace of discovery, engendering globally connected networks of people and devices. The rise of practically relevant artificial intelligence (AI) is also playing an increasing part in this re...
1 CitationsSource
#1Christopher D. Golden (Harvard University)H-Index: 20
#2Cortni Borgerson (MSU: Montclair State University)H-Index: 4
Last.Miadana Arisoa VononaH-Index: 2
view all 19 authors...
The Madagascar Health and Environmental Research-Antongil (MAHERY-Antongil) study cohort was set up in September 2015 to assess the nutritional value of seafood for the coastal Malagasy population living along Antongil Bay in northeastern Madagascar. Over 28 months of surveillance, we aimed to understand the relationships among different marine resource governance models, local people’s fish catch, the consumption of seafood, and nutritional status. In the Antongil Bay, fisheries governance take...
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The mechanism(s) that generate measurement error matter to inference. Survey measurement error is typically thought to represent simple misreporting correctable through improved measurement. But errors might also or alternatively reflect respondent misperceptions that materially affect the respondent decisions under study. We show analytically that these alternate data generating processes imply different appropriate regression specifications and have distinct effects on the bias in parameter es...
1 CitationsSource
1 Citations
#1Kibrom A. Abay (ILRI: International Livestock Research Institute)H-Index: 5
#2Alan de Brauw (IFPRI: International Food Policy Research Institute)H-Index: 27
Last.Tanguy Bernard (University of Bordeaux)H-Index: 14
view all 4 authors...
Abstract We show that non-classical measurement errors (NCME) on both sides of a regression can bias the parameter estimate of interest in either direction. Furthermore, if these NCME are correlated, correcting for either one alone can aggravate bias relative to ignoring mismeasurement in both variables, a ‘second best’ result with implications for a broad class of economic phenomena of policy interest. We then use a unique Ethiopian dataset of matched farmer self-reported and precise ground-bas...
5 CitationsSource
#1Jason R. Rohr (USF: University of South Florida)H-Index: 3
#2Christopher B. Barrett (Cornell University)H-Index: 73
Last.David Tilman (UMN: University of Minnesota)H-Index: 142
view all 14 authors...
Infectious diseases are emerging globally at an unprecedented rate while global food demand is projected to increase sharply by 2100. Here, we synthesize the pathways by which projected agricultural expansion and intensification will influence human infectious diseases and how human infectious diseases might likewise affect food production and distribution. Feeding 11 billion people will require substantial increases in crop and animal production that will expand agricultural use of antibiotics,...
4 CitationsSource
#1Kazushi Takahashi (Sophia University)H-Index: 10
#2Christopher B. Barrett (Cornell University)H-Index: 73
Last.Munenobu Ikegami (Hosei University)H-Index: 6
view all 3 authors...
4 CitationsSource
Last.Thomas F. WalkerH-Index: 5
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We model limited commitment informal insurance networks among individuals whose impurely altruistic marginal gains to giving to others diminish with the number of transfers one makes, giving is costly, and stochastic income has both publicly observable and unobservable components. Contrary to the canonical informal insurance model, in which bigger networks and observable income are preferable, our model predicts that unobservable income shocks may facilitate altruistic giving that better targets...
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