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A Score Function to Prioritize Editing in Household Survey Data: A Machine Learning Approach

Author

Listed:
  • Nicolás Forteza

    (Banco de España)

  • Sandra García-Uribe

    (Banco de España)

Abstract

Errors in the collection of household finance survey data may proliferate in population estimates, especially when there is oversampling of some population groups. Manual case-by-case revision has been commonly applied in order to identify and correct potential errors and omissions such as omitted or misreported assets, income and debts. We derive a machine learning approach for the purpose of classifying survey data affected by severe errors and omissions in the revision phase. Using data from the Spanish Survey of Household Finances we provide the best-performing supervised classification algorithm for the task of prioritizing cases with substantial errors and omissions. Our results show that a Gradient Boosting Trees classifier outperforms several competing classifiers. We also provide a framework that takes into account the trade-off between precision and recall in the survey agency in order to select the optimal classification threshold.

Suggested Citation

  • Nicolás Forteza & Sandra García-Uribe, 2023. "A Score Function to Prioritize Editing in Household Survey Data: A Machine Learning Approach," Working Papers 2330, Banco de España.
    • Handle: RePEc:bde:wpaper:2330
    DOI: https://doi.org/10.53479/34613
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    File URL: https://www.bde.es/f/webbe/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/23/Files/dt2330e.pdf
    File Function: First version, October 2023
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    More about this item

    Keywords

    machine learning; predictive models; selective editing; survey data;
    All these keywords.

    JEL classification:

    • 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
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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