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Instability in Survey-Reported Farm Size: Evidence from Panel Data in Ethiopia and Malawi

Author

Listed:
  • Holden, Stein T.

    (Centre for Land Tenure Studies, Norwegian University of Life Sciences)

  • Makate, Clifton

    (Centre for Land Tenure Studies, Norwegian University of Life Sciences)

  • Tione, Sarah E.

    (Centre for Land Tenure Studies, Norwegian University of Life Sciences)

Abstract

Reliable measurement of farm size is central to empirical research on agricultural structure, land inequality, and land use efficiency in developing countries. Most studies rely on single-round household survey data and implicitly assume that reported farm size is stable and accurately measured. This paper questions that assumption using balanced panel data from Ethiopia and Malawi. We exploit within-household variation over time by comparing reported owned farm size in each survey round to the household-specific maximum observed across rounds, interpreted as an upper-envelope benchmark. We document large and widespread shortfalls from this benchmark that are frequently reversed across survey rounds, indicating episodic instability rather than monotonic landholding change. Instability is strongly associated with parcel attrition – captured by deviations from maximum plot counts and unmeasured parcels – while indicators of real landholding change explain little of the observed variation. These findings imply that instability in reported owned farm size can materially affect measured farm size distributions, land inequality, and inferences about land markets and allocative efficiency.

Suggested Citation

  • Holden, Stein T. & Makate, Clifton & Tione, Sarah E., 2026. "Instability in Survey-Reported Farm Size: Evidence from Panel Data in Ethiopia and Malawi," CLTS Working Papers 1/26, Norwegian University of Life Sciences, Centre for Land Tenure Studies.
  • Handle: RePEc:hhs:nlsclt:2026_001
    as

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    References listed on IDEAS

    as
    1. 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.
    2. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2024. "Assessing misallocation in agriculture: Plots versus farms," Food Policy, Elsevier, vol. 128(C).
    3. Chaoran Chen & Diego Restuccia & Raül Santaeulàlia-Llopis, 2023. "Land Misallocation and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 441-465, April.
    4. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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