IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/1009.html
   My bibliography  Save this paper

Do household definitions matter in survey design?: Results from a randomized survey experiment in Mali

Author

Listed:
  • Beaman, Lori
  • Dillon, Andrew

Abstract

Household definitions used in multi-topic household surveys vary between surveys but have potentially significant implications for household composition, production, and poverty statistics. Standard definitions of the household usually include some intersection of keywords relating to residency requirements, common food consumption, and intermingling of income or production decisions. Despite best practices intending to standardize the definition of the household, it is unclear which types of definitions or which intersections of keywords in a definition result in different household compositions. This paper conducts a randomized survey experiment of four different household definitions in Mali to examine the implications for household-level statistics. This approach permits analysis of the trade-offs between alternative definition types. We find that additional keywords in definitions increase rather than decrease household size and significantly alter household composition. Definitions emphasizing common consumption or joint production increase estimates of the levels of household assets and consumption statistics, but not on per adult equivalency asset and consumption statistics, relative to open-ended definitions of the household. In contrast, definition type did not affect production statistics in levels, although we observe significant differences in per adult equivalency terms. Our findings suggest that variations in household definition have implications for measuring household welfare and production over time and across countries, as well as evaluation studies where the correct measure of spillover effects within and across households is necessary for measuring the benefits of an intervention.

Suggested Citation

  • Beaman, Lori & Dillon, Andrew, 2010. "Do household definitions matter in survey design?: Results from a randomized survey experiment in Mali," IFPRI discussion papers 1009, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1009
    as

    Download full text from publisher

    File URL: https://www.ifpri.org/cdmref/p15738coll2/id/3321/filename/3322.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jean-Paul Azam & Flore Gubert, 2005. "Those in Kayes. The Impact of Remittances on Their Recipients in Africa," Revue économique, Presses de Sciences-Po, vol. 56(6), pages 1331-1358.
    2. Abhijit V. Banerjee & Esther Duflo, 2007. "The Economic Lives of the Poor," Journal of Economic Perspectives, American Economic Association, vol. 21(1), pages 141-168, Winter.
    3. Deaton, A. & Zaidi, S., 1999. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," Papers 192, Princeton, Woodrow Wilson School - Development Studies.
    4. Christiaensen, Luc J. M. & Hoddinott, John & Bergeron, Gilles, 2000. "Comparing village characteristics derived from rapid appraisals and household surveys," FCND discussion papers 91, International Food Policy Research Institute (IFPRI).
    5. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, April.
    6. Steven Ruggles & Misty Heggeness, 2008. "Intergenerational Coresidence in Developing Countries," Population and Development Review, The Population Council, Inc., vol. 34(2), pages 253-281, June.
    7. repec:dau:papers:123456789/4571 is not listed on IDEAS
    8. L. Christiaensen & J. Hoddinott & G. Bergeron, 2001. "Comparing village characteristics derived from rapid appraisals and household surveys: A tale from northern Mali," Journal of Development Studies, Taylor & Francis Journals, vol. 37(3), pages 1-20.
    9. Megan Beckett & Julie Da Vanzo & Narayan Sastry & Constantijn Panis & Christine Peterson, 2001. "The Quality of Retrospective Data: An Examination of Long-Term Recall in a Developing Country," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 593-625.
    10. Richard Akresh, 2009. "Flexibility of Household Structure: Child Fostering Decisions in Burkina Faso," Journal of Human Resources, University of Wisconsin Press, vol. 44(4).
    11. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    12. Udry, Christopher, 1996. "Gender, Agricultural Production, and the Theory of the Household," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1010-1046, October.
    13. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    14. Udry, Christopher, 1990. "Credit Markets in Northern Nigeria: Credit as Insurance in a Rural Economy," The World Bank Economic Review, World Bank, vol. 4(3), pages 251-269, September.
    15. Hill,Polly, 1986. "Development Economics on Trial," Cambridge Books, Cambridge University Press, number 9780521310963.
    Full references (including those not matched with items on IDEAS)

    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. Burney, Jennifer A. & Naylor, Rosamond L., 2012. "Smallholder Irrigation as a Poverty Alleviation Tool in Sub-Saharan Africa," World Development, Elsevier, vol. 40(1), pages 110-123.
    2. John A. Maluccio, 2009. "Household targeting in practice: The Nicaraguan Red de Protección Social," Journal of International Development, John Wiley & Sons, Ltd., vol. 21(1), pages 1-23.
    3. Abdoul G. Sam & Babatunde O. Abidoye & Sihle Mashaba, 2021. "Climate change and household welfare in sub-Saharan Africa: empirical evidence from Swaziland," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 439-455, April.
    4. Çakır, Mustafa Yavuz & Kabundi, Alain, 2013. "Trade shocks from BRIC to South Africa: A global VAR analysis," Economic Modelling, Elsevier, vol. 32(C), pages 190-202.
    5. Akanksha Srivastava & Sanjay Mohanty, 2012. "Poverty Among Elderly in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 109(3), pages 493-514, December.
    6. Tetsuji Tanaka & Jin Guo & Naruto Hiyama & Baris Karapinar, 2022. "Optimality Between Time of Estimation and Reliability of Model Results in the Monte Carlo Method: A Case for a CGE Model," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 151-176, January.
    7. Seale, James L. & Solano, Alexis A., 2012. "The changing demand for energy in rich and poor countries over 25years," Energy Economics, Elsevier, vol. 34(6), pages 1834-1844.
    8. Hidrobo, Melissa & Hoddinott, John & Peterman, Amber & Margolies, Amy & Moreira, Vanessa, 2014. "Cash, food, or vouchers? Evidence from a randomized experiment in northern Ecuador," Journal of Development Economics, Elsevier, vol. 107(C), pages 144-156.
    9. Nguyen, Minh Cong & Winters, Paul, 2011. "The impact of migration on food consumption patterns: The case of Vietnam," Food Policy, Elsevier, vol. 36(1), pages 71-87, February.
    10. Anand, Rahul & Prasad, Eswar, 2010. "Optimal Price Indices for Targeting Inflation under Incomplete Markets," IZA Discussion Papers 5137, Institute of Labor Economics (IZA).
    11. Ingela Alger & Laura Juarez & Miriam Juarez-Torres & Josepa Miquel-Florensa, 2020. "Do Informal Transfers Induce Lower Efforts? Evidence from Lab-in-the-Field Experiments in Rural Mexico," Economic Development and Cultural Change, University of Chicago Press, vol. 69(1), pages 107-171.
    12. Peter Davis & Bob Baulch, 2010. "Casting the net wide and deep: lessons learned in a mixed-methods study of poverty dynamics in rural Bangladesh," Working Papers id:2674, eSocialSciences.
    13. Klasen, Stephan & Reimers, Malte, 2017. "Looking at Pro-Poor Growth from an Agricultural Perspective," World Development, Elsevier, vol. 90(C), pages 147-168.
    14. Clementi, Fabio & Molini, Vasco & Schettino, Francesco, 2018. "All that Glitters is not Gold: Polarization Amid Poverty Reduction in Ghana," World Development, Elsevier, vol. 102(C), pages 275-291.
    15. Leonardo Gasparini, 2006. "Assessing benefit-incidence results using decompositions. The case of health policy in Argentina," Economics Bulletin, AccessEcon, vol. 4(40), pages 1-10.
    16. Anna D'Souza & Dean Jolliffe, 2012. "Rising Food Prices and Coping Strategies: Household-level Evidence from Afghanistan," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 282-299, August.
    17. Michael Lokshin & Nithin Umapathi & Stefano Paternostro, 2006. "Robustness of subjective welfare analysis in a poor developing country: Madagascar 2001," Journal of Development Studies, Taylor & Francis Journals, vol. 42(4), pages 559-591.
    18. Sami Bibi & Mustapha K. Nabli, 2009. "Income Inequality In The Arab Region: Data And Measurement, Patterns And Trends," Middle East Development Journal (MEDJ), World Scientific Publishing Co. Pte. Ltd., vol. 1(02), pages 275-314.
    19. de Nicola, Francesca & Giné, Xavier, 2014. "How accurate are recall data? Evidence from coastal India," Journal of Development Economics, Elsevier, vol. 106(C), pages 52-65.
    20. Patrick Blagrave & Peter Elliott & Mr. Roberto Garcia-Saltos & Mr. Douglas Hostland & Mr. Douglas Laxton & Fan Zhang, 2013. "Adding China to the Global Projection Model," IMF Working Papers 2013/256, International Monetary Fund.

    More about this item

    Keywords

    assets; Consumption; household definition; randomized experiment;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:fpr:ifprid:1009. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    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.