Empirical forecasting of slow-onset disasters for improved emergency response: An application to Kenya's arid north
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- Lybbert, Travis & Sumner, Daniel, 2010. "Agricultural Technologies for Climate Change Mitigation and Adaptation in Developing Countries: Policy Options for Innovation and Technology Diffusion," Climate Change 320104, International Centre for Trade and Sustainable Development (ICTSD).
- Lentz, Erin & Ouma, Robert & Mude, Andrew, 2016. "Does peer monitoring influence choices between cash and food? Findings from a field experiment," Food Policy, Elsevier, vol. 65(C), pages 21-31.
- Felix Naschold & Christopher B. Barrett, 2020. "A stochastic dominance approach to program evaluation with an application to child nutritional status in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 871-886, November.
- Fan, Shenggen & Brzeska, Joanna, 2011.
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- Fan, Shenggen & Brzeska, Joanna, 2011. "The nexus between agriculture and nutrition: Do growth patterns and conditional factors matter?," 2020 conference papers 1, International Food Policy Research Institute (IFPRI).
- Shenggen Fan & Joanna Brzeska, 2015. "The Nexus between Agriculture and Nutrition: Do Growth Patterns and Conditional Factors Matter?," Working Papers id:7519, eSocialSciences.
- Camila Pareja Yale & Hugo Tsugunobu Yoshida Yoshizaki & Luiz Paulo Fávero, 2022. "A New Zero-Inflated Negative Binomial Multilevel Model for Forecasting the Demand of Disaster Relief Supplies in the State of Sao Paulo, Brazil," Mathematics, MDPI, vol. 10(22), pages 1-11, November.
- Jensen, Nathaniel D. & Mude, Andrew G. & Barrett, Christopher B., 2018.
"How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya,"
Food Policy, Elsevier, vol. 74(C), pages 172-198.
- Jensen, Nathaniel & Mude, Andrew & Barrett, Christopher, 2014. "How Basis Risk and Spatiotemporal Adverse Selection Influence Demand for Index Insurance: Evidence from Northern Kenya," MPRA Paper 60452, University Library of Munich, Germany.
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"Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning,"
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- McBride, Linden & Barrett, Christopher B. & Browne, Christopher & Hu, Leiqiu & Liu, Yanyan & Matteson, David S. & Sun, Ying & Wen, Jiaming, 2021. "Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning," 2021 Allied Social Sciences Association (ASSA) Annual Meeting (Virtual), January 3-5, 2021, San Diego, California 309060, Agricultural and Applied Economics Association.
- Lybbert, Travis J. & Sumner, Daniel A., 2012. "Agricultural technologies for climate change in developing countries: Policy options for innovation and technology diffusion," Food Policy, Elsevier, vol. 37(1), pages 114-123.
- Alex Nikulkov & Christopher B Barrett & Andrew G Mude & Lawrence M Wein, 2016. "Assessing the Impact of U.S. Food Assistance Delivery Policies on Child Mortality in Northern Kenya," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-15, December.
- Bauer, Jan M. & Mburu, Samuel, 2017. "Effects of drought on child health in Marsabit District, Northern Kenya," Economics & Human Biology, Elsevier, vol. 24(C), pages 74-79.
- Altay, Nezih & Narayanan, Arunachalam, 2022. "Forecasting in humanitarian operations: Literature review and research needs," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1234-1244.
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Keywords
Food security Food aid Early warning Emergency response Forecasting famine;Statistics
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