2023
DOI: 10.1146/annurev-resource-101422-090049
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Inferential and Behavioral Implications of Measurement Error in Agricultural Data

Abstract: An evolving literature evaluates the inferential and behavioral implications of measurement error (ME) in agricultural data. We synthesize findings on the nature and sources of ME and potential remedies. We provide practical guidance for choosing among alternative approaches for detecting, obviating, or correcting for alternative sources of ME, as these have different behavioral and inferential implications. Some ME biases statistical inference and thus may require econometric correction. Other types of ME may… Show more

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Cited by 10 publications
(2 citation statements)
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“…Anonymity was maintained to encourage participants to provide honest responses, particularly when reporting their motivations. Cross-checking of the data was conducted wherever feasible [47,48]. Furthermore, the questionnaire underwent a pretesting phase that involved five innovative SMEs to fine-tune its effectiveness and ensure its suitability for the study's objectives.…”
Section: Sample Surveymentioning
confidence: 99%
“…Anonymity was maintained to encourage participants to provide honest responses, particularly when reporting their motivations. Cross-checking of the data was conducted wherever feasible [47,48]. Furthermore, the questionnaire underwent a pretesting phase that involved five innovative SMEs to fine-tune its effectiveness and ensure its suitability for the study's objectives.…”
Section: Sample Surveymentioning
confidence: 99%
“…There are several sources of errors in self-reported production and land area (Abay et al, 2023;Carletto et al, 2021). First, farmers may intentionally over-or underreport production or farm size for different reasons and motives.…”
Section: Alternative Measures Of Production and Plot Size And Associa...mentioning
confidence: 99%