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The state of food insecurity measurement: A mix of methods, and a mix of messages

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  • Headey, Derek D.

Abstract

Robust food insecurity indicators are needed for monitoring development targets, humanitarian advocacy efforts, and rationally allocating foreign aid. Longstanding dissatisfaction with the FAO’s undernourishment indicator prompted the development of new metrics in recent decades, including the FAO’s Food Insecurity Experience Scale (FIES) and the unaffordability of healthy diets. However, no previous research has assessed whether food insecurity and poverty indicators are in broad agreement on which countries are insecure/poor, and whether global food insecurity is rising or falling. Unfortunately, this new mix of methods produces mixed messages. At the country level, FIES severe food insecurity is often higher in Latin America and the Caribbean than in Niger and other extremely poor African countries. On global trends, the FAO reports increasing undernourishment and FIES food insecurity over 2014-2022, whereas the World Bank reports monetary poverty declining and healthy diets becoming more affordable. Moreover, trends in FAO food security indicators are not statistically explained by hypothesized factors cited in FAO reports, such as conflict or climate change, and increases in the FAO’s calorie consumption inequality metric are inconsistent with declining income inequality reported by the World Bank. We provide four concrete suggestions to improve food security measurement and monitoring: (1) the FAO should cease modelling undernourishment; (2) new independent studies should re-evaluate the FIES and test new metrics; (3) international agencies should implement coordinated, high-frequency, multi-purpose, open-access surveys; and (4) researchers should further improve the “nowcasting” of poverty and food insecurity for data-scarce crisis contexts.

Suggested Citation

  • Headey, Derek D., 2024. "The state of food insecurity measurement: A mix of methods, and a mix of messages," IFPRI discussion papers 2323, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:169686
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    1. François Bourguignon & Amedeo Spadaro, 2006. "Microsimulation as a tool for evaluating redistribution policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 77-106, April.
    2. Hai‐Anh H. Dang & Stephane Hallegatte & Trong‐Anh Trinh, 2024. "Does global warming worsen poverty and inequality? An updated review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(5), pages 1873-1905, December.
    3. Tsegay Tekleselassie & Abdelkrim Araar & Mehari Abay & Kibrom Abay, 2024. "A microsimulation study of COVID-19‘s impact on household welfare in Ethiopia," Oxford Development Studies, Taylor & Francis Journals, vol. 52(3), pages 261-278, July.
    4. Masset, Edoardo, 2011. "A review of hunger indices and methods to monitor country commitment to fighting hunger," Food Policy, Elsevier, vol. 36(Supplemen), pages 102-108, January.
    5. Brum, Matias & De Rosa, Mauricio, 2021. "Too little but not too late: nowcasting poverty and cash transfers’ incidence during COVID-19’s crisis," World Development, Elsevier, vol. 140(C).
    6. Krueger, Alan B. & Schkade, David A., 2008. "The reliability of subjective well-being measures," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1833-1845, August.
    7. Martin Ravallion, 2020. "On Measuring Global Poverty," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 167-188, August.
    8. Gourlay, Sydney & Kilic, Talip & Martuscelli, Antonio & Wollburg, Philip & Zezza, Alberto, 2021. "Viewpoint: High-frequency phone surveys on COVID-19: Good practices, open questions," Food Policy, Elsevier, vol. 105(C).
    9. Svedberg, Peter, 1999. "841 Million Undernourished?," World Development, Elsevier, vol. 27(12), pages 2081-2098, December.
    10. Rosenstock, L. & Lee, L.J., 2002. "Attacks on science: The risks to evidence-based policy," American Journal of Public Health, American Public Health Association, vol. 92(1), pages 14-18.
    11. Habib, Bilal & Narayan, Ambar & Olivieri, Sergio & Sanchez-Paramo, Carolina, 2010. "Assessing ex ante the poverty and distributional impact of the global crisis in a developing country : a micro-simulation approach with application to Bangladesh," Policy Research Working Paper Series 5238, The World Bank.
    12. Davide Rasella & Sanjay Basu & Thomas Hone & Romulo Paes-Sousa & Carlos Octávio Ocké-Reis & Christopher Millett, 2018. "Child morbidity and mortality associated with alternative policy responses to the economic crisis in Brazil: A nationwide microsimulation study," PLOS Medicine, Public Library of Science, vol. 15(5), pages 1-20, May.
    13. Juan Armando Torres Munguía & Florina Cristina Badarau & Luis Rodrigo Díaz Pavez & Inmaculada Martinez-Zarzoso & Konstantin M. Wacker, 2022. "A global dataset of pandemic- and epidemic-prone disease outbreaks," Post-Print hal-04029973, HAL.
    14. Arlette Saint Ville & June Yee Tsun Po & Akankasha Sen & Anh Bui & Hugo Melgar-Quiñonez, 2019. "Food security and the Food Insecurity Experience Scale (FIES): ensuring progress by 2030," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(3), pages 483-491, June.
    15. Daniel Kahneman & Alan B. Krueger, 2006. "Developments in the Measurement of Subjective Well-Being," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 3-24, Winter.
    16. John Feddersen & Robert Metcalfe & Mark Wooden, 2016. "Subjective wellbeing: why weather matters," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 203-228, January.
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