Stein T. Holden (), Clifton Makate () and Sarah E. Tione ()
Additional contact information
Stein T. Holden: Centre for Land Tenure Studies, Norwegian University of Life Sciences, Postal: Centre for Land Tenure Studies, Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Aas, Norway
Clifton Makate: Centre for Land Tenure Studies, Norwegian University of Life Sciences, Postal: Centre for Land Tenure Studies, Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Aas, Norway
Sarah E. Tione: Centre for Land Tenure Studies, Norwegian University of Life Sciences, Postal: Centre for Land Tenure Studies, Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Aas, Norway
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.
Keywords: farm size measurement; land ownership; panel survey data; land inequality; Sub-Saharan Africa
Language: English
46 pages, March 30, 2026
Full text files
CLTS_WP_01_26_full.pdfFull text
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