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Christopher B. Barrett
Cornell University
Publications 718
Published in Communications of The ACM 5.41
Carla P. Gomes35
Estimated H-index: 35
(Cornell University),
Xiaoli Z. Fern19
Estimated H-index: 19
(OSU: Oregon State University)
+ -3 AuthorsSteve Kelling24
Estimated H-index: 24
(Cornell University)
Leah Em. Bevis1
Estimated H-index: 1
(OSU: Ohio State University),
Christopher B. Barrett72
Estimated H-index: 72
(Cornell University)
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...
Published on Jan 1, 2019in Frontiers in Nutrition
Christopher D. Golden19
Estimated H-index: 19
(Harvard University),
Cortni Borgerson2
Estimated H-index: 2
(MSU: Montclair State University)
+ 16 AuthorsDaniel L. Hartl93
Estimated H-index: 93
(Harvard University)
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...
Published on Jun 1, 2019in Journal of Development Economics 2.85
Kibrom A. Abay4
Estimated H-index: 4
(ILRI: International Livestock Research Institute),
Alan de Brauw27
Estimated H-index: 27
(IFPRI: International Food Policy Research Institute)
+ 1 AuthorsTanguy Bernard1
Estimated H-index: 1
(University of Bordeaux)
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...
Published on Jun 1, 2019
Jason R. Rohr44
Estimated H-index: 44
(USF: University of South Florida),
Christopher B. Barrett72
Estimated H-index: 72
(Cornell University)
+ 11 AuthorsRichard S. Ostfeld63
Estimated H-index: 63
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,...
Published on Apr 1, 2019in American Journal of Agricultural Economics 2.53
Kazushi Takahashi10
Estimated H-index: 10
(Sophia University),
Christopher B. Barrett72
Estimated H-index: 72
(Cornell University),
Munenobu Ikegami4
Estimated H-index: 4
(Hosei University)
Published on Jan 1, 2019
Vesall Nourani , Christopher B. Barrett72
Estimated H-index: 72
+ 1 AuthorsThomas F. Walker5
Estimated H-index: 5
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...
Published on Jan 1, 2019
Priyanka Parvathi4
Estimated H-index: 4
Mulubrhan Amare + 1 AuthorsChristopher B. Barrett
Most studies of agricultural transformation document the impact of agricultural productivity on macroeconomic indicators of development. Much less is known about the micro-scale changes within the farming sector that signal a transformation precipitated by exogenous agricultural productivity growth. This study identifies early trends in the agricultural sector that indicate an onset of structural change. We also comparatively analyse the patterns of micro-level changes between Sub-Saharan Africa...