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Machine Learning Guided Outlook of Global Food Insecurity Consistent with Macroeconomic Forecasts

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  • Andree,Bo Pieter Johannes

Abstract

Motivated by the deterioration in global food security conditions, this paper develops aparsimonious machine learning model to derive a multi-year outlook of global severe food insecurity from macro-economicprojections. The objective is to provide forecasts that are internally consistent with wider economic assessments,allowing both food security policies and economic development policies to be informed by a cohesive set ofexpectations. The model is validated on holdout data that explicitly test the ability to forecast new data fromhistory and extrapolate beyond observed intervals. It is then applied to the World Economic Outlook database of April2022 to project the severely food insecure population across all 144 World Bank lending countries. The analysis estimatesthat the global severely food insecure population may remain above 1 billion through 2027 unless large-scaleinterventions are made. The paper also explores counterfactual scenarios, first to investigate additionalrisks in a downside economic scenario, and second, to investigate whether restoring macroeconomic targets issufficient to revert food insecurity back to pre-pandemic levels. The paper concludes that the proposed model providesa robust and low-cost approach to maintain reliable long-term projections and produce scenario analyses that canbe revised systematically and interpreted within the context of available economic outlooks.

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  • Andree,Bo Pieter Johannes, 2022. "Machine Learning Guided Outlook of Global Food Insecurity Consistent with Macroeconomic Forecasts," Policy Research Working Paper Series 10202, The World Bank.
  • Handle: RePEc:wbk:wbrwps:10202
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    References listed on IDEAS

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    1. D’Souza, Anna & Jolliffe, Dean, 2013. "Conflict, food price shocks, and food insecurity: The experience of Afghan households," Food Policy, Elsevier, vol. 42(C), pages 32-47.
    2. Diogo, V. & Reidsma, P. & Schaap, B. & Andree, B.P.J. & Koomen, E., 2017. "Assessing local and regional economic impacts of climatic extremes and feasibility of adaptation measures in Dutch arable farming systems," Agricultural Systems, Elsevier, vol. 157(C), pages 216-229.
    3. Elsayed, Ahmed H. & Yarovaya, Larisa, 2019. "Financial stress dynamics in the MENA region: Evidence from the Arab Spring," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 20-34.
    4. Khan, M. Mahmud, 1994. "Market-based early warning indicators of famine for the pastoral households of the Sahel," World Development, Elsevier, vol. 22(2), pages 189-199, February.
    5. Headey, Derek, 2011. "Rethinking the global food crisis: The role of trade shocks," Food Policy, Elsevier, vol. 36(2), pages 136-146, April.
    6. Georgios Douzas & Maria Lechleitner & Fernando Bacao, 2022. "Improving the quality of predictive models in small data GSDOT: A new algorithm for generating synthetic data," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-15, April.
    7. S. J. Koopman & J. Durbin, 2000. "Fast Filtering and Smoothing for Multivariate State Space Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 21(3), pages 281-296, May.
    8. Blankespoor,Brian & Ru,Yating & Wood-Sichra,Ulrike & Chambers,Thomas Timothy & You,Liangzhi & Kalvelagen,Erwin, 2022. "Estimating Local Agricultural GDP across the World," Policy Research Working Paper Series 10109, The World Bank.
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    1. Steve Penson & Mathijs Lomme & Zacharey Austin Carmichael & Manni,Alemu & Shrestha,Sudeep & Bo Pieter Johannes Andree, 2024. "A Data-Driven Approach for Early Detection of Food Insecurity in Yemen's Humanitarian Crisis," Policy Research Working Paper Series 10768, The World Bank.

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