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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 expenditure survey

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  • Engle-Stone, Reina
  • Sununtnasuk, Celeste
  • Fiedler, John L.

Abstract

Efforts to improve the use of Household Income and Expenditure Surveys (HIES) for nutrition policy decisions face numerous methodological issues. Our objective was to explore how nutrition indicators vary by data collection period (number of days of household consumption data available) using the 2010 Bangladesh HIES. Household availability and individual apparent consumption of nutrients, foods, and food groups were estimated for each of 7 consecutive 2-day recall periods, both separately and in combinations representing 2, 4, 6, 8, 10, 12, or 14days of data. Differences among cumulative data collection periods in mean apparent nutrient consumption and proportion with low values were statistically significant but small (<4 percentage points), suggesting that a data collection period of one week or less would yield the same conclusions asa longer (and more costly) data collection period of 14days for these outcomes if the recall period were held constant. For all food groups except staple foods, the proportion of households consuming food groups and selected potentially fortified foods increased, and the mean amount consumed among consumers (the ‘conditional mean’) decreased with longer data collection periods; this observation is likely related to frequency of consumption and suggests that the choice of data collection period for these items will be determined by the intended application. Additional research is necessary to confirm the external validity of these findings.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jfpoli:v:72:y:2017:i:c:p:72-80
    DOI: 10.1016/j.foodpol.2017.08.014
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    References listed on IDEAS

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    1. Clarke, Philip M. & Fiebig, Denzil G. & Gerdtham, Ulf-G., 2008. "Optimal recall length in survey design," Journal of Health Economics, Elsevier, vol. 27(5), pages 1275-1284, September.
    2. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    3. 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.
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    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. Prydz, Espen Beer & Jolliffe, Dean & Serajuddin, Umar, 2021. "Mind the Gap," GLO Discussion Paper Series 944, Global Labor Organization (GLO).
    3. Wollburg, Philip & Tiberti, Marco & Zezza, Alberto, 2021. "Recall length and measurement error in agricultural surveys," Food Policy, Elsevier, vol. 100(C).

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