Stochastic Modeling of Food Insecurity (English)

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 simulation capabilities for scenario analyses, risk assessment and forecasting purposes. It utilizes a panel vector-autoregression to model food insecurity distributions of 15 Sub-Saharan African countries between...

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Author

Wang,Dieter;

Andree,Bo Pieter Johannes;

Chamorro Elizondo,Andres Fernando;

Spencer,Phoebe Girouard;
Document Date
2020/09/22
Document Type
Policy Research Working Paper
Report Number
WPS9413
Volume No
1
Total Volume(s)
1
Country
World, Africa,
Region
Other, Africa,
Disclosure Date
2020/09/22
Disclosure Status
Disclosed
Doc Name
Stochastic Modeling of Food Insecurity
Keywords
food insecurity

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Citation

Wang,Dieter; Andree,Bo Pieter Johannes; Chamorro Elizondo,Andres Fernando; Spencer,Phoebe Girouard.

Stochastic Modeling of Food Insecurity (English). Policy Research working paper|no. WPS 9413 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/911801600788869914

Stochastic Modeling of Food Insecurity (English)

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