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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ПОДРОБНАЯ ИНФОРМАЦИЯ
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2020/09/22
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Рабочий документ в рамках исследования вопросов политики
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WPS9413
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1
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1
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2020/09/22
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Disclosed
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Stochastic Modeling of Food Insecurity
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food insecurity
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