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Cited by 373

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Fact or artifact: The impact of measurement errors on the farm size–productivity relationship

Carletto, Calogero, Savastano, Sara, Zezza, Alberto·2013·Journal of Development Economics

Abstract

This paper revisits the role of land measurement error in the inverse farm size and productivity relationship. By making use of data from a nationally representative household survey from Uganda, in which self-reported land size information is complemented by plot measurements collected using Global Position System devices, the authors reject the hypothesis that the inverse relationship may just be a statistical artifact linked to problems with land measurement error. In particular, the paper explores: (i) the determinants of the bias in land measurement, (ii) how this bias varies systematically with plot size and landholding, and (iii) the extent to which land measurement error affects the relative advantage of smallholders implied by the inverse relationship. The findings indicate that using an improved measure of land size strengthens the evidence in support of the existence of the inverse relationship.

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Crossref · 10.1016/j.jdeveco.2013.03.004

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Metadata

Authors
Carletto, C., Savastano, S., & Zezza, A.
Venue
Journal of Development Economics
Publisher
Elsevier BV
Published
2013-07
Volume
103
Pages
254-261
ISSN
0304-3878 (ISSN-L)
OpenAlex
W2065547779
Cited by
373
References
28
FWCI
30.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fact or artifact: The impact of measurement errors on the farm size–productivity relationship. https://app.cochat.ai/papers/10.1016/j.jdeveco.2013.03.004
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Carletto, C., Savastano, S., & Zezza, A. (2013). Fact or artifact: The impact of measurement errors on the farm size–productivity relationship. Journal of Development Economics. https://doi.org/10.1016/j.jdeveco.2013.03.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.