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Inferential and behavioral implications of measurement error in agricultural data

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Title Inferential and behavioral implications of measurement error in agricultural data
 
Creator Abay, Kibrom A.
Wossen, Tesfamichael
Abate, Gashaw Tadesse
Stevenson, James
Michelson, Hope
Barrett, Christopher B.
 
Subject agriculture
behaviour
data
data analysis
decision making
farmers
statistics
 
Description 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 affect (and shed light on) farmers’ decision-making processes even if farmers’ responses are objectively incorrect. Where feasible, collecting both self-reported and objectively measured data for the same variable may enrich understanding of policy-relevant agricultural and behavioral phenomena.
 
Date 2023-10-05
2023-07-26T13:58:22Z
2023-07-26T13:58:22Z
 
Type Journal Article
 
Identifier Abay, Kibrom A.; Wossen, Tesfamichael; Abate, Gashaw Tadesse; Stevenson, James; Michelson, Hope; and Barrett, Christopher B. 2023. Inferential and behavioral implications of measurement error in agricultural data. Annual Review of Resource Economics 15 (2023): 3.1–3.21. https://doi.org/10.1146/annurev-resource-101422-090049
1941-1340
https://hdl.handle.net/10568/131303
https://doi.org/10.1146/annurev-resource-101422-090049
 
Language en
 
Relation Annual Review of Resource Economics
 
Rights CC-BY-4.0
Open Access
 
Format 63-83
 
Publisher Annual Reviews
 
Source Annual Review of Resource Economics