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
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Creator |
Abay, Kibrom A.
Wossen, Tesfamichael Abate, Gashaw Tadesse Stevenson, James Michelson, Hope Barrett, Christopher B. |
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Subject |
agriculture
behaviour data data analysis decision making farmers statistics |
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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.
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Date |
2023-10-05
2023-07-26T13:58:22Z 2023-07-26T13:58:22Z |
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Type |
Journal Article
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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 |
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Language |
en
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Relation |
Annual Review of Resource Economics
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Rights |
CC-BY-4.0
Open Access |
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Format |
63-83
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Publisher |
Annual Reviews
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Source |
Annual Review of Resource Economics
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