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Can diaries help in improving agricultural production statistics? Evidence from Uganda

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  • Deininger, Klaus
  • Carletto, Calogero
  • Savastano, Sara
  • Muwonge, James

Abstract

Although good and timely information on agricultural production is critical for policy-decisions, the quality of underlying data is often low and improving data quality could have high payoff. We use data from a production diary, administered concurrently with a standard household survey in Uganda to analyze the nature and incidence of responses, the magnitude of differences in reported outcomes, and factors that systematically affect these. Despite limited central supervision, diaries elicited a strong response, complemented standard surveys in a number of respects and were less affected by problems of respondent fatigue than expected. The diary-based estimates of output value consistently exceed that from the recall-based production survey, in line with reported disposition. Implications for policy and practical administration of surveys are drawn out.

Suggested Citation

  • Deininger, Klaus & Carletto, Calogero & Savastano, Sara & Muwonge, James, 2012. "Can diaries help in improving agricultural production statistics? Evidence from Uganda," Journal of Development Economics, Elsevier, vol. 98(1), pages 42-50.
    • Handle: RePEc:eee:deveco:v:98:y:2012:i:1:p:42-50
    DOI: 10.1016/j.jdeveco.2011.05.007
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Presumed poorer until proven net-seller: measuring who wins and who loses from high food prices
      by Gero Carletto in Development Impact on 2012-09-19 15:09:20

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    Cited by:

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    7. Ambler, Kate & Herskowitz, Sylvan & Maredia, Mywish K., 2021. "Are we done yet? Response fatigue and rural livelihoods," Journal of Development Economics, Elsevier, vol. 153(C).
    8. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
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    11. Alistair Munro, 2020. "Using experimental manipulation of questionnaire design and a Kenyan panel to test for the reliability of reported perceptions of climate change and adaptation," Climatic Change, Springer, vol. 162(3), pages 1081-1105, October.
    12. Sam Desiere & Lotte Staelens & Marijke D’Haese, 2016. "When the Data Source Writes the Conclusion: Evaluating Agricultural Policies," Journal of Development Studies, Taylor & Francis Journals, vol. 52(9), pages 1372-1387, September.
    13. Carletto, Calogero & Savastano, Sara & Zezza, Alberto, 2013. "Fact or artifact: The impact of measurement errors on the farm size–productivity relationship," Journal of Development Economics, Elsevier, vol. 103(C), pages 254-261.
    14. Takeshima, Hiroyuki, 2015. "Drivers of growth in agricultural returns to scale: The hiring in of tractor services in the Terai of Nepal:," IFPRI discussion papers 1476, International Food Policy Research Institute (IFPRI).
    15. Vaiknoras, Kate & Larochelle, Catherine & Alwang, Jeffrey, 2020. "IFAD RESERACH SERIES 64 - How the adoption of drought-tolerant rice varieties impacts households in a non-drought year: Evidence from Nepal," IFAD Research Series 308809, International Fund for Agricultural Development (IFAD).
    16. Nakelse, Tebila & Dalton, Timothy J. & Hendricks, Nathan P. & Hodjo, Manzamasso, 2018. "Are smallholder farmers better or worse off from an increase in the international price of cereals?," Food Policy, Elsevier, vol. 79(C), pages 213-223.
    17. Derek D Headey, 2018. "Food Prices and Poverty," The World Bank Economic Review, World Bank, vol. 32(3), pages 676-691.
    18. 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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    20. Vaiknoras, Kate A. & Larochelle, Catherine & Alwang, Jeffrey, 2021. "How the adoption of drought-tolerant rice varieties impacts households in a non-drought year: Evidence from Nepal," 2021 Annual Meeting, August 1-3, Austin, Texas 313877, Agricultural and Applied Economics Association.
    21. Takeshima, Hiroyuki & Adeoti, Adetola I. & Popoola, Oluwafemi Adebola, 2016. "The impact on farm household welfare of large irrigation dams and their distribution across hydrological basins: Insights from northern Nigeria:," NSSP working papers 35, International Food Policy Research Institute (IFPRI).
    22. Zezza,Alberto & Mcgee,Kevin Robert & Wollburg,Philip Randolph & Assefa,Thomas Woldu & Gourlay,Sydney, 2022. "From Necessity to Opportunity : Lessons for Integrating Phone and In-Person Data Collectionfor Agricultural Statistics in a Post-Pandemic World," Policy Research Working Paper Series 10168, The World Bank.

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    More about this item

    Keywords

    Survey design; Agriculture; Africa;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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