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Stochastic Modeling of Food Insecurity

Recent advances in food insecurity classification have made analytical approaches to predict and inform response to food crises possible. This paper develops a predictive, statistical framework to identify drivers of food insecurity risk with simul...

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Bibliographic Details
Main Authors: Wang, Dieter, Andree, Bo Pieter Johannes, Chamorro, Andres Fernando, Girouard Spencer, Phoebe
Language:English
Published: World Bank, Washington, DC 2020
Subjects:
FOOD SECURITY
FOOD INSECURITY
FAMINE RISK
VARIABLE SELECTION
STOCHASTIC SIMULATION
PANEL VECTOR AUTOREGRESSION
EXPERT OPINION
FOOD CRISIS
WORLD FOOD PROGRAMME
FORECASTING
WEATHER FORECASTING
BAYESIAN EXTENSION
FOOD PRICES
Online Access:http://documents.worldbank.org/curated/en/911801600788869914/Stochastic-Modeling-of-Food-Insecurity
http://hdl.handle.net/10986/34511

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