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Impact of survey design in the estimation of habitual food consumption

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  • Troubat, Nathalie
  • Grünberger, Klaus

Abstract

This paper evaluates the impact of survey design on food consumption measurement using data from the Mongolia Household Socio-Economic Survey (MSES) 2007–2008. We exploit the fact that the MSES uses a diversified approach to collect food data by measuring consumption, acquisition and stocks using both, diaries and recall interviews. First, we estimate the effect of diary length on reporting of food consumption, finding a significant decrease of reported food over time. We conclude that shorter diaries would increase the quality of estimates and lower the costs of inquiry. Second, we show that recall interviews, combined with a measurement of stocks, perform well in measuring household food consumption compared to diaries. Third, we find cyclical variation in food consumption and acquisition not only between months, but also within months and weeks. Especially for food acquisition, we detect large difference within months, which can lead to biased estimates of food acquisition. This highlights the need for enumeration to be spread over time to overcome cyclicality on food acquisition and consumption.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jfpoli:v:72:y:2017:i:c:p:132-145
    DOI: 10.1016/j.foodpol.2017.08.019
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    References listed on IDEAS

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    1. Damon, Amy L. & King, Robert P. & Leibtag, Ephraim, 2013. "First of the month effect: Does it apply across food retail channels?," Food Policy, Elsevier, vol. 41(C), pages 18-27.
    2. 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).
    3. 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.
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    5. John Gibson, 2002. "Why Does the Engel Method Work? Food Demand, Economies of Size and Household Survey Methods," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 341-359, September.
    6. Justine Hastings & Ebonya Washington, 2010. "The First of the Month Effect: Consumer Behavior and Store Responses," American Economic Journal: Economic Policy, American Economic Association, vol. 2(2), pages 142-162, May.
    7. 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.
    8. Gibson, John, 2002. "Why Does the Engel Method Work? Food Demand, Economies of Size and Household Survey Methods," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 341-359, September.
    9. Isabel McWhinney & Harold Champion, 1974. "The Canadian Experience With Recall And Diary Methods In Consumer Expenditure Surveys," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 2, pages 411-437, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Household Consumption and Expenditure Surveys; Survey design; Food consumption; Food acquisition; Recall survey; Diary survey;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal 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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