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Inferential and Behavioral Implications of Measurement Error in Agricultural Data

Author

Listed:
  • Kibrom A. Abay

    (International Food Policy Research Institute (IFPRI), Cairo, Egypt)

  • Tesfamicheal Wossen

    (International Institute of Tropical Agriculture (IITA), Nairobi, Kenya)

  • Gashaw T. Abate

    (International Food Policy Research Institute (IFPRI), Washington, DC, USA)

  • James R. Stevenson

    (CGIAR Standing Panel on Impact Assessment, Rome, Italy)

  • Hope Michelson

    (Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA)

  • Christopher B. Barrett

    (Charles H. Dyson School of Applied Economics and Management, Cornell University, Ithaca, New York, USA)

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 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.

Suggested Citation

  • Kibrom A. Abay & Tesfamicheal Wossen & Gashaw T. Abate & James R. Stevenson & Hope Michelson & Christopher B. Barrett, 2023. "Inferential and Behavioral Implications of Measurement Error in Agricultural Data," Annual Review of Resource Economics, Annual Reviews, vol. 15(1), pages 63-83, October.
    • Handle: RePEc:anr:reseco:v:15:y:2023:p:63-83
    DOI: 10.1146/annurev-resource-101422-090049
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    More about this item

    Keywords

    bias; misperception; misreporting; statistical inference;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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