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Food Insecurity Through Machine Learning Lens: Identifying Vulnerable Households

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  • Meerza, Syed Imran Ali
  • Meerza, Syed Irfan Ali
  • Ahamed, Afsana

Abstract

No abstract is available for this item.

Suggested Citation

  • Meerza, Syed Imran Ali & Meerza, Syed Irfan Ali & Ahamed, Afsana, 2021. "Food Insecurity Through Machine Learning Lens: Identifying Vulnerable Households," 2021 Annual Meeting, August 1-3, Austin, Texas 314072, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea21:314072
    DOI: 10.22004/ag.econ.314072
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    References listed on IDEAS

    as
    1. François Gerard & Clément Imbert & Kate Orkin, 0. "Social protection response to the COVID-19 crisis: options for developing countries," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 281-296.
    2. François Gerard & Clément Imbert & Kate Orkin, 2020. "Social protection response to the COVID-19 crisis: options for developing countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 281-296.
    3. Lentz, E.C. & Michelson, H. & Baylis, K. & Zhou, Y., 2019. "A data-driven approach improves food insecurity crisis prediction," World Development, Elsevier, vol. 122(C), pages 399-409.
    4. Chen Gao & Chengcheng J. Fei & Bruce A. McCarl & David J. Leatham, 2020. "Identifying Vulnerable Households Using Machine Learning," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    5. Parvez, Rezwanul & Meerza, Syed Imran Ali & Hasan Khan Chowdhury, Nazea, 2020. "Economics of student retention behavior in higher education," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304405, Agricultural and Applied Economics Association.
    6. Hossain, Marup & Mullally, Conner & Asadullah, M. Niaz, 2019. "Alternatives to calorie-based indicators of food security: An application of machine learning methods," Food Policy, Elsevier, vol. 84(C), pages 77-91.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety; Agribusiness; Marketing;
    All these keywords.

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