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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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    References listed on IDEAS

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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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    13. Wang, Quanli & Rossignoli, Cristiano M. & Dompreh, Eric Brako & Su, Jie & Griffiths, Don & Htoo, Khaing Kyaw & Nway, Hsu Myat & Akester, Michael & Gasparatos, Alexandros, 2024. "Diversification strategies have a stabilizing effect for income and food availability during livelihood shocks: Evidence from small-scale aquaculture-agriculture systems in Myanmar during the COVID-19," Agricultural Systems, Elsevier, vol. 217(C).
    14. Derek D Headey, 2018. "Food Prices and Poverty," The World Bank Economic Review, World Bank, vol. 32(3), pages 676-691.
    15. Calogero Carletto & Dean Jolliffe & Raka Banerjee, 2015. "From Tragedy to Renaissance: Improving Agricultural Data for Better Policies," Journal of Development Studies, Taylor & Francis Journals, vol. 51(2), pages 133-148, February.
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    18. 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.
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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.
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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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