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The Challenge of Measuring Hunger through Survey

Author

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  • Joachim De Weerdt
  • Kathleen Beegle
  • Jed Friedman
  • John Gibson

Abstract

There is widespread interest in estimating the number of hungry people in the world and trends in hunger. Current global counts rely on combining each country's total food balance with information on distribution patterns from household consumption expenditure surveys. Recent research has advocated for calculating hunger numbers directly from these same surveys. For either approach, embedded in this effort are a number of important details about how household surveys are designed and how these data are then used. Using a survey experiment in Tanzania, this study finds great fragility in hunger counts stemming from alternative survey designs. As a consequence, comparable hunger numbers will be lacking until more effort is made to either harmonize survey designs or better understand the consequences of survey design variation.

Suggested Citation

  • Joachim De Weerdt & Kathleen Beegle & Jed Friedman & John Gibson, 2015. "The Challenge of Measuring Hunger through Survey," LICOS Discussion Papers 36515, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    • Handle: RePEc:lic:licosd:36515
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    1. Smith, Lisa C. & Naiken, Logan, 1998. "Can FAO's measure of chronic undernourishment be strengthened?," FCND discussion papers 44, International Food Policy Research Institute (IFPRI).
    2. Smith, Lisa C., 1998. "Can FAO's measure of chronic undernourishment be strengthened?," Food Policy, Elsevier, vol. 23(5), pages 425-445, October.
    3. Dollar, David & Kraay, Aart, 2002. "Growth Is Good for the Poor," Journal of Economic Growth, Springer, vol. 7(3), pages 195-225, September.
    4. Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2012. "Methods of household consumption measurement through surveys: Experimental results from Tanzania," Journal of Development Economics, Elsevier, vol. 98(1), pages 3-18.
    5. John Gibson & Kathleen Beegle & Joachim De Weerdt & Jed Friedman, 2015. "What does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 466-474, June.
    6. Smith, Lisa C. & Subandoro, Ali, 2007. "Measuring food security using household expenditure surveys:," Food security in practice technical guide series 3, International Food Policy Research Institute (IFPRI).
    7. Stephan Klasen, 2008. "Poverty, undernutrition, and child mortality: Some inter-regional puzzles and their implicationsfor research and policy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(1), pages 89-115, March.
    8. Bart Capéau & Stefan Dercon, 2006. "Prices, Unit Values and Local Measurement Units in Rural Surveys: an Econometric Approach with an Application to Poverty Measurement in Ethiopia," Journal of African Economies, Centre for the Study of African Economies, vol. 15(2), pages 181-211, June.
    9. Masset, Edoardo, 2011. "A review of hunger indices and methods to monitor country commitment to fighting hunger," Food Policy, Elsevier, vol. 36(S1), pages 102-108.
    10. Smith, Lisa C. & Alderman, Harold & Aduayom, Dede, 2006. "Food insecurity in Sub-Saharan Africa: new estimates from household expenditure surveys," Research reports 146, International Food Policy Research Institute (IFPRI).
    11. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    12. 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.
    13. Craig Gundersen & David Ribar, 2011. "Food Insecurity And Insufficiency At Low Levels Of Food Expenditures," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(4), pages 704-726, December.
    14. Shaohua Chen & Martin Ravallion, 2010. "The Developing World is Poorer than We Thought, But No Less Successful in the Fight Against Poverty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1577-1625.
    15. Robert T. Jensen & Nolan H. Miller, 2010. "A Revealed Preference Approach to Measuring Hunger and Undernutrition," NBER Working Papers 16555, National Bureau of Economic Research, Inc.
    16. 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.
    17. Peter Timmer, 2009. "Rice Price Formation in the Short Run and the Long Run: The Role of Market Structure in Explaining Volatility," Working Papers 172, Center for Global Development.
    18. Carola Gruen & Stephan Klasen, 2008. "Growth, inequality, and welfare: comparisons across space and time," Oxford Economic Papers, Oxford University Press, vol. 60(2), pages 212-236, April.
    19. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, April.
    20. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries," World Bank Publications - Books, The World Bank Group, number 25338, December.
    21. Behrman, Jere R & Deolalikar, Anil B, 1987. "Will Developing Country Nutrition Improve with Income? A Case Study for Rural South India," Journal of Political Economy, University of Chicago Press, vol. 95(3), pages 492-507, June.
    22. Bouis, Howarth E., 1994. "The effect of income on demand for food in poor countries: Are our food consumption databases giving us reliable estimates?," Journal of Development Economics, Elsevier, vol. 44(1), pages 199-226, June.
    23. Guha-Khasnobis, Basudeb & Acharya, Shabd S. & Davis, Benjamin (ed.), 2007. "Food Security: Indicators, Measurement, and the Impact of Trade Openness," OUP Catalogue, Oxford University Press, number 9780199236558.
    24. Svedberg, Peter, 2002. "Undernutrition Overestimated," Economic Development and Cultural Change, University of Chicago Press, vol. 51(1), pages 5-36, October.
    25. Headey, Derek D. & Ecker, Olivier, 2012. "Improving the measurement of food security:," IFPRI discussion papers 1225, International Food Policy Research Institute (IFPRI).
    26. John Gibson & Bonggeun Kim, 2012. "Testing the Infrequent Purchases Model Using Direct Measurement of Hidden Consumption from Food Stocks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 257-270.
    27. Caeyers, Bet & Chalmers, Neil & De Weerdt, Joachim, 2012. "Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment," Journal of Development Economics, Elsevier, vol. 98(1), pages 19-33.
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    Cited by:

    1. Ameye, Hannah & De Weerdt, Joachim & Gibson, John, 2021. "Measuring macro- and micronutrient consumption in multi-purpose surveys: Evidence from a survey experiment in Tanzania," Food Policy, Elsevier, vol. 102(C).
    2. Hammond, James & Fraval, Simon & van Etten, Jacob & Suchini, Jose Gabriel & Mercado, Leida & Pagella, Tim & Frelat, Romain & Lannerstad, Mats & Douxchamps, Sabine & Teufel, Nils & Valbuena, Diego & va, 2017. "The Rural Household Multi-Indicator Survey (RHoMIS) for rapid characterisation of households to inform climate smart agriculture interventions: Description and applications in East Africa and Central ," Agricultural Systems, Elsevier, vol. 151(C), pages 225-233.
    3. Arthi, Vellore & Beegle, Kathleen & De Weerdt, Joachim & Palacios-López, Amparo, 2018. "Not your average job: Measuring farm labor in Tanzania," Journal of Development Economics, Elsevier, vol. 130(C), pages 160-172.
    4. Hannah Ameye & Joachim De Weerdt & John Gibson, 2020. "Measuring Macro- and Micronutrient Intake in Multi-Purpose Surveys: Evidence from a Survey Experiment in Tanzania," LICOS Discussion Papers 42120, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    5. Sharp,Michael K. & Buffière,Bertrand & Himelein,Kristen & Troubat,Nathalie & Gibson,John, 2022. "Effects of Data Collection Methods on Estimated Household Consumption and Survey Costs: Evidence from an Experiment in the Marshall Islands," Policy Research Working Paper Series 10029, The World Bank.
    6. Joachim De Weerdt & John Gibson & Kathleen Beegle, 2020. "What Can We Learn from Experimenting with Survey Methods?," Annual Review of Resource Economics, Annual Reviews, vol. 12(1), pages 431-447, October.
    7. Friedman, Jed & Beegle, Kathleen & De Weerdt, Joachim & Gibson, John, 2017. "Decomposing response error in food consumption measurement: Implications for survey design from a randomized survey experiment in Tanzania," Food Policy, Elsevier, vol. 72(C), pages 94-111.
    8. Abate, Gashaw T. & de Brauw, Alan & Hirvonen, Kalle & Wolle, Abdulazize, 2023. "Measuring consumption over the phone: Evidence from a survey experiment in urban Ethiopia," Journal of Development Economics, Elsevier, vol. 161(C).
    9. Fitzpatrick, Anne, 2023. "Which price is right? A comparison of three standard approaches to measuring prices," Journal of Development Economics, Elsevier, vol. 163(C).
    10. Cockx, Lara & Colen, Liesbeth & De Weerdt, Joachim, 2018. "From corn to popcorn? Urbanization and dietary change: Evidence from rural-urban migrants in Tanzania," World Development, Elsevier, vol. 110(C), pages 140-159.
    11. Bhalla, Garima & Handa, Sudhanshu & Angeles, Gustavo & Seidenfeld, David, 2018. "The effect of cash transfers and household vulnerability on food security in Zimbabwe," Food Policy, Elsevier, vol. 74(C), pages 82-99.
    12. Monteiro Amaral,Sofia Fernando & Dinarte Diaz,Lelys Ileana & Dominguez,Patricio & Perez-Vincent,Santiago M. & Romero,Steffanny, 2022. "Talk or Text ? Evaluating Response Rates by Remote Survey Method during COVID-19," Policy Research Working Paper Series 9999, The World Bank.
    13. John Gibson, 2020. "Deforestation and Resource Conflicts in Papua New Guinea," Working Papers in Economics 20/02, University of Waikato.
    14. John Gibson, 2016. "Measuring Chronic Hunger from Diet Snapshots: Why 'Bottom up' Survey Counts and 'Top down' FAO Estimates Will Never Meet," Working Papers in Economics 16/07, University of Waikato.
    15. Godlonton, Susan & Hernandez, Manuel A. & Paz, Cynthia, 2021. "Can survey design reduce anchoring bias in recall data? Evidence from Malawi," IFPRI discussion papers 2055, International Food Policy Research Institute (IFPRI).
    16. Conforti, Piero & Grünberger, Klaus & Troubat, Nathalie, 2017. "The impact of survey characteristics on the measurement of food consumption," Food Policy, Elsevier, vol. 72(C), pages 43-52.

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    More about this item

    Keywords

    hunger prevalence; measurement error; consumption; survey design;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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