IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v72y2017icp7-19.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919217306838
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.foodpol.2017.08.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. ,, 2001. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1157-1160, December.
    2. 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.
    3. 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.
    4. 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.
    5. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, April.
    6. ,, 2001. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 17(5), pages 1025-1031, October.
    7. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries," World Bank Publications - Books, The World Bank Group, number 25338.
    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. repec:bla:obuest:v:64:y:2002:i:4:p:341-59 is not listed on IDEAS
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Battistin,Erich & De Nadai,Michele & Krishnan,Nandini, 2020. "The Insights and Illusions of Consumption Measurements," Policy Research Working Paper Series 9255, The World Bank.
    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. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2023. "The insights and illusions of consumption measurements," Journal of Development Economics, Elsevier, vol. 161(C).
    5. repec:lic:licosd:41819 is not listed on IDEAS
    6. 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.
    7. 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).
    8. Wollburg, Philip & Tiberti, Marco & Zezza, Alberto, 2021. "Recall length and measurement error in agricultural surveys," Food Policy, Elsevier, vol. 100(C).
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Utz Pape & Philip Wollburg, 2019. "Estimation of Poverty in Somalia Using Innovative Methodologies," HiCN Working Papers 306, Households in Conflict Network.
    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.
    4. Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012. "Small area estimation-based prediction methods to track poverty: validation and applications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 267-297, June.
    5. 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.
    6. Fiedler, John L. & Mwangi, Dena M., 2016. "Improving household consumption and expenditure surveys’ food consumption metrics: Developing a strategic approach to the unfinished agenda:," IFPRI discussion papers 1570, International Food Policy Research Institute (IFPRI).
    7. Dang, Hai-Anh H & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, Institute of Labor Economics (IZA).
    8. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    9. Ligon, Ethan & Christiaensen, Luc & Sohnesen, Thomas P, 2020. "Should Consumption Sub-Aggregates be Used to Measure Poverty?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9b9929jh, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Luisa Natali & Marta Moratti, 2012. "Measuring Household Welfare: Short versus long consumption modules," Papers inwopa671, Innocenti Working Papers.
    11. Dang,Hai-Anh H. & Kilic,Talip & Carletto,Calogero & Abanokova,Kseniya, 2021. "Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements," Policy Research Working Paper Series 9838, The World Bank.
    12. De Magalhães, Leandro & Santaeulàlia-Llopis, Raül, 2018. "The consumption, income, and wealth of the poorest: An empirical analysis of economic inequality in rural and urban Sub-Saharan Africa for macroeconomists," Journal of Development Economics, Elsevier, vol. 134(C), pages 350-371.
    13. Hai-Anh H. Dang & Peter F. Lanjouw, 2018. "Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 67(1), pages 131-170.
    14. F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2017. "When the Centre Cannot Hold: Patterns of Polarization in Nigeria," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 608-632, December.
    15. Carletto,Calogero & Deininger,Klaus W. & Muwonge, James & Savastano,Sara & Carletto,Calogero & Deininger,Klaus W. & Muwonge, James & Savastano,Sara, 2011. "Can diaries help improve agricultural production statistics ? Evidence from Uganda," Policy Research Working Paper Series 5717, The World Bank.
    16. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," IZA Discussion Papers 13222, Institute of Labor Economics (IZA).
    17. Haddad, Lawrence James & Alderman, Harold & Appleton, Simon & Song, Lina & Yohannes, Yisehac, 2002. "Reducing child undernutrition: how far does income growth take us?," FCND briefs 137, International Food Policy Research Institute (IFPRI).
    18. repec:cte:werepe:we061103 is not listed on IDEAS
    19. Raül Santaeulàlia-Llopis & Yu Zheng, 2017. "Why Is Food Consumption Inequality Underestimated? A Story of Vices and Children," Working Papers 969, Barcelona School of Economics.
    20. 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.
    21. Dang, Hai-Anh H & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," IZA Discussion Papers 14631, Institute of Labor Economics (IZA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jfpoli:v:72:y:2017:i:c:p:7-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.