Stochastic Modeling of Food Insecurity

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
Format: Working Paper
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

Internet

http://documents.worldbank.org/curated/en/911801600788869914/Stochastic-Modeling-of-Food-Insecurity
http://hdl.handle.net/10986/34511

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