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Food counts. Measuring food consumption and expenditures in household consumption and expenditure surveys (HCES). Introduction to the special issue

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  • Zezza, Alberto
  • Carletto, Calogero
  • Fiedler, John L.
  • Gennari, Pietro
  • Jolliffe, Dean

Abstract

This introductory paper presents the results of an international multi-disciplinary research project on the measurement of food consumption in national household surveys. Food consumption data from household surveys are possibly the single most important source of information on poverty, food security, and nutrition outcomes at national, sub-national and household level, and contribute building blocks to global efforts to monitor progress towards the major international development goals.

Suggested Citation

  • Zezza, Alberto & Carletto, Calogero & Fiedler, John L. & Gennari, Pietro & Jolliffe, Dean, 2017. "Food counts. Measuring food consumption and expenditures in household consumption and expenditure surveys (HCES). Introduction to the special issue," Food Policy, Elsevier, vol. 72(C), pages 1-6.
  • Handle: RePEc:eee:jfpoli:v:72:y:2017:i:c:p:1-6
    DOI: 10.1016/j.foodpol.2017.08.007
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    References listed on IDEAS

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    1. 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.
    2. Francisco H. G. Ferreira & Shaohua Chen & Andrew Dabalen & Yuri Dikhanov & Nada Hamadeh & Dean Jolliffe & Ambar Narayan & Espen Beer Prydz & Ana Revenga & Prem Sangraula & Umar Serajuddin & Nobuo Yosh, 2016. "A global count of the extreme poor in 2012: data issues, methodology and initial results," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(2), pages 141-172, June.
    3. Troubat, Nathalie & Grünberger, Klaus, 2017. "Impact of survey design in the estimation of habitual food consumption," Food Policy, Elsevier, vol. 72(C), pages 132-145.
    4. Borlizzi, Andrea & Delgrossi, Mauro Eduardo & Cafiero, Carlo, 2017. "National food security assessment through the analysis of food consumption data from Household Consumption and Expenditure Surveys: The case of Brazil’s Pesquisa de Orçamento Familiares 2008/09," Food Policy, Elsevier, vol. 72(C), pages 20-26.
    5. Kirlin, John A. & Denbaly, Mark, 2017. "Lessons learned from the national household food acquisition and purchase survey in the United States," Food Policy, Elsevier, vol. 72(C), pages 62-71.
    6. Serajuddin,Umar & Uematsu,Hiroki & Wieser,Christina & Yoshida,Nobuo & Dabalen,Andrew L., 2015. "Data deprivation : another deprivation to end," Policy Research Working Paper Series 7252, The World Bank.
    7. Brzozowski, Matthew & Crossley, Thomas F. & Winter, Joachim K., 2017. "A comparison of recall and diary food expenditure data," Food Policy, Elsevier, vol. 72(C), pages 53-61.
    8. Farfán, Gabriela & Genoni, María Eugenia & Vakis, Renos, 2017. "You are what (and where) you eat: Capturing food away from home in welfare measures," Food Policy, Elsevier, vol. 72(C), pages 146-156.
    9. Geoffrey R. Dunbar & Arthur Lewbel & Krishna Pendakur, 2013. "Children's Resources in Collective Households: Identification, Estimation, and an Application to Child Poverty in Malawi," American Economic Review, American Economic Association, vol. 103(1), pages 438-471, February.
    10. World Bank Group, 2015. "A Measured Approach to Ending Poverty and Boosting Shared Prosperity : Concepts, Data, and the Twin Goals," World Bank Publications - Books, The World Bank Group, number 20384.
    11. Louzada, Maria Laura da Costa & Levy, Renata Bertazzi & Martins, Ana Paula Bortoletto & Claro, Rafael Moreira & Steele, Euridice Martinez & Verly Jr., Eliseu & Cafiero, Carlo & Monteiro, Carlos August, 2017. "Validating the usage of household food acquisition surveys to assess the consumption of ultra-processed foods: Evidence from Brazil," Food Policy, Elsevier, vol. 72(C), pages 112-120.
    12. Fiedler, John L. & Yadav, Suryakant, 2017. "How can we better capture food away from Home? Lessons from India’s linking person-level meal and household-level food data," Food Policy, Elsevier, vol. 72(C), pages 81-93.
    13. Coates, Jennifer & Rogers, Beatrice Lorge & Blau, Alexander & Lauer, Jacqueline & Roba, Alemzewed, 2017. "Filling a dietary data gap? Validation of the adult male equivalent method of estimating individual nutrient intakes from household-level data in Ethiopia and Bangladesh," Food Policy, Elsevier, vol. 72(C), pages 27-42.
    14. Backiny-Yetna,Prospere R. & Yacoubou Djima,Ismael & Steele,Diane E. & Backiny-Yetna,Prospere R. & Yacoubou Djima,Ismael & Steele,Diane E., 2014. "The impact of household food consumption data collection methods on poverty and inequality measures in Niger," Policy Research Working Paper Series 7090, The World Bank.
    15. Backiny-Yetna, Prospère & Steele, Diane & Yacoubou Djima, Ismael, 2017. "The impact of household food consumption data collection methods on poverty and inequality measures in Niger," Food Policy, Elsevier, vol. 72(C), pages 7-19.
    16. Engle-Stone, Reina & Sununtnasuk, Celeste & Fiedler, John L., 2017. "Investigating the significance of the data collection period of household consumption and expenditures surveys for food and nutrition policymaking: Analysis of the 2010 Bangladesh household income and," Food Policy, Elsevier, vol. 72(C), pages 72-80.
    17. 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.
    18. 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.
    19. Sununtnasuk, Celeste & Fiedler, John L., 2017. "Can household-based food consumption surveys be used to make inferences about nutrient intakes and inadequacies? A Bangladesh case study," Food Policy, Elsevier, vol. 72(C), pages 121-131.
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    More about this item

    Keywords

    Food consumption; Household surveys; Questionnaire design;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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