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Using Machine Learning to Test the Consistency of Food Insecurity Measures

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  • Villacis, Alexis
  • Badruddoza, Syed
  • Mayorga, Joaquin
  • Mishra, Ashok K.

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No abstract is available for this item.

Suggested Citation

  • Villacis, Alexis & Badruddoza, Syed & Mayorga, Joaquin & Mishra, Ashok K., 2022. "Using Machine Learning to Test the Consistency of Food Insecurity Measures," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322472, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea22:322472
    DOI: 10.22004/ag.econ.322472
    as

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    References listed on IDEAS

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    1. Gérard Biau & Erwan Scornet, 2016. "A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 197-227, June.
    2. Linden McBride & Austin Nichols, 2018. "Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning," The World Bank Economic Review, World Bank, vol. 32(3), pages 531-550.
    3. Derek D. Headey, 2013. "The Impact of the Global Food Crisis on Self-Assessed Food Security," The World Bank Economic Review, World Bank, vol. 27(1), pages 1-27.
    4. Gérard Biau & Erwan Scornet, 2016. "Rejoinder on: A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 264-268, June.
    Full references (including those not matched with items on IDEAS)

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