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Who Should be Interviewed in Surveys of Household Income?

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  • Fisher, Monica
  • Reimer, Jeffrey J.
  • Carr, Edward R.

Abstract

Summary This study tests the null hypothesis that it is sufficient to interview only the household head to obtain accurate information on household income. Results show that using a husband's estimate of his wife's income does not produce statistically reliable results for poverty analysis. Estimates of the wife's income provided by the husband and wife are in agreement in only 6% of households. While limiting interviews to one person has the advantage of reducing the time and expense of household surveys, this appears detrimental in terms of accuracy, and may lead to incorrect conclusions on the determinants of poverty.

Suggested Citation

  • Fisher, Monica & Reimer, Jeffrey J. & Carr, Edward R., 2010. "Who Should be Interviewed in Surveys of Household Income?," World Development, Elsevier, vol. 38(7), pages 966-973, July.
  • Handle: RePEc:eee:wdevel:v:38:y:2010:i:7:p:966-973
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    Cited by:

    1. Andersson Djurfeldt, Agnes & Djurfeldt, Göran & Bergman Lodin, Johanna, 2013. "Geography of Gender Gaps: Regional Patterns of Income and Farm–Nonfarm Interaction Among Male- and Female-Headed Households in Eight African Countries," World Development, Elsevier, vol. 48(C), pages 32-47.
    2. Doss, Cheryl & Kovarik, Chiara & Peterman, Amber & Quisumbing, Agnes R. & van den Bold, Mara, 2013. "Gender inequalities in ownership and control of land in Africa: Myths versus reality:," IFPRI discussion papers 1308, International Food Policy Research Institute (IFPRI).
    3. Lourdes Diaz Olvera & Didier Plat & Pascal Pochet, 2015. "Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala, Cameroon)," Post-Print halshs-01205776, HAL.
    4. Gloede, Oliver & Menkhoff, Lukas & Waibel, Hermann, 2015. "Shocks, Individual Risk Attitude, and Vulnerability to Poverty among Rural Households in Thailand and Vietnam," World Development, Elsevier, vol. 71(C), pages 54-78.
    5. Kriel, Antoinette & Randall, Sara & Coast, Ernestina & de Clercq, Bernadene, 2014. "From design to practice: how can large-scale household surveys better represent the complexities of the social units under investigation?," LSE Research Online Documents on Economics 59737, London School of Economics and Political Science, LSE Library.
    6. Traikova, Diana & Mollers, Judith & Buchenrieder, Gertrud, 2012. "How Farmers Become Entrepreneurs - Prenatal Diagnostic of Rural Firms in Bulgaria," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126816, International Association of Agricultural Economists.
    7. Traikova, Diana, 2013. "Determinants of non-farm entrepreneurial intentions in a transitional context: Evidence from rural Bulgaria," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 72, number 72.
    8. Jagger, Pamela & Luckert, Marty K. & Banana, Abwoli & Bahati, Joseph, 2012. "Asking Questions to Understand Rural Livelihoods: Comparing Disaggregated vs. Aggregated Approaches to Household Livelihood Questionnaires," World Development, Elsevier, vol. 40(9), pages 1810-1823.
    9. Gloede, Oliver & Menkhoff, Lukas & Waibel, Hermann, 2011. "Risk attitude and risk behavior: Comparing Thailand and Vietnam," Proceedings of the German Development Economics Conference, Berlin 2011 33, Verein für Socialpolitik, Research Committee Development Economics.
    10. Fisher, Monica & Kandiwa, Vongai, 2014. "Can agricultural input subsidies reduce the gender gap in modern maize adoption? Evidence from Malawi," Food Policy, Elsevier, vol. 45(C), pages 101-111.
    11. Phung, T.D. & Hardeweg, B. & Praneetvatakul, S. & Waibel, H., 2015. "Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?," World Development, Elsevier, vol. 71(C), pages 25-35.
    12. Madrigal, Lucia & Torero, Maximo, 2016. "Using quantitative tools to measure gender differences within value chains," IFPRI book chapters,in: Innovation for inclusive value-chain development: Successes and challenges, chapter 14, pages 441-464 International Food Policy Research Institute (IFPRI).
    13. Devaux, André & Torero, Maximo & Donovan, Jason & Horton, Douglas E. (ed.), 2016. "Innovation for inclusive value-chain development: Successes and challenges," IFPRI books, International Food Policy Research Institute (IFPRI), number 978-0-89629-213-0.
    14. Cheryl Doss & Chiara Kovarik & Amber Peterman & Agnes Quisumbing & Mara Bold, 2015. "Gender inequalities in ownership and control of land in Africa: myth and reality," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 403-434, May.
    15. Zarychta, Alan, 2015. "Community trust and household health: A spatially-based approach with evidence from rural Honduras," Social Science & Medicine, Elsevier, vol. 146(C), pages 85-94.
    16. Richard Brown & Jørgen Carling & Sonja Fransen & Melissa Siegel, 2014. "Measuring remittances through surveys," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(41), pages 1243-1274, November.
    17. Carmen Diana Deere & Gina E. Alvarado & Jennifer Twyman, 2012. "Gender Inequality in Asset Ownership in Latin America: Female Owners vs Household Heads," Development and Change, International Institute of Social Studies, vol. 43(2), pages 505-530, March.
    18. Angelsen, Arild & Jagger, Pamela & Babigumira, Ronnie & Belcher, Brian & Hogarth, Nicholas J. & Bauch, Simone & Börner, Jan & Smith-Hall, Carsten & Wunder, Sven, 2014. "Environmental Income and Rural Livelihoods: A Global-Comparative Analysis," World Development, Elsevier, vol. 64(S1), pages 12-28.
    19. Lourdes Diaz Olvera & Didier Plat & Pascal Pochet, 2015. "Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala, Cameroon)
      [Evaluation des inégalités de mobilité et recueil des revenus. Questions mé
      ," Post-Print halshs-01235185, HAL.

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