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The impact of household food consumption data collection methods on poverty and inequality measures in Niger

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  • Backiny-Yetna, Prospère
  • Steele, Diane
  • Yacoubou Djima, Ismael

Abstract

Many countries are faced with the problem of monitoring poverty indicators when different food data collection methodologies have been used in national household surveys over the years. This paper provides a comprehensive analysis of this problem in the case of Niger. The paper assesses the impact of three methods of food data collection on the welfare distribution, and poverty and inequality measures in Niger. The study leverages a food consumption experiment to evaluate the three methods of food data collection implemented in the country’s most recent national household surveys. The first method was 7-day recall, the second was usual month, and the third was 7-day diary. The study finds that there was a large difference in measures of consumption and poverty between the first two methods (which yielded similar results) and the 7-day diary method. Annual per capita consumption from the 7-day recall method was, on average, 28 percent higher than that from the 7-day diary method. This gap exists not only at the mean of the distribution, but at every level. The observed differences in measured annual per capita consumption leads to differences in poverty and inequality measures even when alternate poverty lines are used.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jfpoli:v:72:y:2017:i:c:p:7-19
    DOI: 10.1016/j.foodpol.2017.08.008
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    1. ,, 2001. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1157-1160, December.
    2. Tarozzi, Alessandro, 2007. "Calculating Comparable Statistics From Incomparable Surveys, With an Application to Poverty in India," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 314-336, July.
    3. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, April.
    4. ,, 2001. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 17(5), pages 1025-1031, October.
    5. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries," World Bank Publications - Books, The World Bank Group, number 25338, December.
    6. 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.
    7. Jean Olson Lanjouw & Peter Lanjouw, 2001. "How to Compare Apples And Oranges: Poverty Measurement Based on Different Definitions of Consumption," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 47(1), pages 25-42, March.
    8. anonymous, 2000. "Consumer privacy protections finalized," Financial Update, Federal Reserve Bank of Atlanta, vol. 13(Jul), pages 1-6.
    9. World Bank, 2012. "Niger : Investing for Prosperity - A Poverty Assessment [NIGER: Investir pour la prospérité - Evaluation de la pauvreté au Niger]," World Bank Publications - Reports 12312, The World Bank Group.
    10. 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.
    11. 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.
    12. Isabel McWhinney & Harold E. 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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    2. Christophe Muller & Nouréini Sayouti, 2021. "How does information on minimum and maximum food prices affect measured monetary poverty ? Evidence from Niger," Working Papers halshs-03097641, HAL.
    3. 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.
    4. 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.
    5. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2023. "The insights and illusions of consumption measurements," Journal of Development Economics, Elsevier, vol. 161(C).
    6. Kilic, Talip & Moylan, Heather & Ilukor, John & Mtengula, Clement & Pangapanga-Phiri, Innocent, 2021. "Root for the tubers: Extended-harvest crop production and productivity measurement in surveys," Food Policy, Elsevier, vol. 102(C).
    7. Wollburg, Philip & Tiberti, Marco & Zezza, Alberto, 2021. "Recall length and measurement error in agricultural surveys," Food Policy, Elsevier, vol. 100(C).
    8. Gashaw T Abate & Alan de Brauw & John Gibson & Kalle Hirvonen & Abdulazize Wolle, 2022. "Telescoping Error in Recalled Food Consumption: Evidence from a Survey Experiment in Ethiopia [Video-Based Behavioral Change Communication to Change Consumption Patterns: Experimental Evidence from," The World Bank Economic Review, World Bank, vol. 36(4), pages 889-908.
    9. Abubakari Ahmed & Eric Dompreh & Alexandros Gasparatos, 2019. "Human wellbeing outcomes of involvement in industrial crop production: Evidence from sugarcane, oil palm and jatropha sites in Ghana," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-33, April.
    10. 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).
    11. 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.
    12. Nouréini Sayouti & Christophe Muller, 2021. "How does information on minimum and maximum food prices affect measured monetary poverty ? Evidence from Niger," CERDI Working papers hal-03117686, HAL.

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