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The impact of survey characteristics on the measurement of food consumption

Author

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  • Conforti, Piero
  • Grünberger, Klaus
  • Troubat, Nathalie
Abstract
Survey characteristics affect the quality of the measurement of food consumption within households; thus, it is important to identify best practices for designing surveys that collect food data. This paper analyses the impact of survey characteristics on the measurement of food consumption from a sample of 81 national surveys. Results highlight regularities that can inform best practices in designing surveys and promoting the use of the data for multiple purposes. Surveys focused on food acquisition collect higher food quantities compared to those that target food consumption. Surveys based on recall interviews collect higher food quantities compared to those based on diaries, but the difference decreases with long reference periods. The use of standard units of measurement as well as the consideration of partakers in meals and of seasonality generates significant differences in the survey results. The impact of the different survey characteristics carries substantive implications when food consumption data are employed for assessing food security conditions. The results are part of a wider work program aimed at improving the quality of household survey data. More evidence is needed, ideally through coordinated sets of analyses and experiments in different contexts. Additionally, survey characteristics must be complemented by effective field work in order to generate high quality data. Towards this end, statistical capacity development is crucial to promote better data and more evidence-based decision making.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jfpoli:v:72:y:2017:i:c:p:43-52
    DOI: 10.1016/j.foodpol.2017.08.011
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Laura E. McCann & Jeffrey D. Michler & Maybin Mwangala & Osaretin Olurotimi & Natalia Estrada Carmona, 2024. "Food Without Fire: Nutritional and Environmental Impacts from a Solar Stove Field Experiment," Papers 2410.02075, arXiv.org.
    3. Zezza, Alberto & Carletto, Gero & Fiedler, John L & Gennari, Pietro & Jolliffe, Dean M, 2017. "Food Counts. Measuring Food Consumption And Expenditures In Household Consumption And Expenditure Surveys (HCES)," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260886, European Association of Agricultural Economists.

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    More about this item

    Keywords

    Household consumption and expenditure surveys; Survey design; Food consumption; Food acquisition;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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