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Integrating survey and administrative data to estimate firms' turnover in unplanned domains: evidence from the Invind survey

Author

Listed:
  • Marco Bottone

    (Bank of Italy)

  • Maria Cristina Casciano

    (Istat)

  • Enrico Fabrizi

    (Universita Cattolica del Sacro Cuore)

  • Salvatore Filiberti

    (Istat)

  • Andrea Neri

    (Bank of Italy)

  • Mariagrazia Rinaldi

    (Istat)

Abstract

This study introduces a methodology that combines Banca d'Italia's Survey of Industrial and Service Firms (Invind) with Istat's Frame-SBS archive to estimate changes in firms' turnover for unplanned domains, namely, levels of detail finer than those envisaged in the original sampling design (for instance, economic sectors at the regional level). Linking the two data sources yields a substantial reduction in the Mean Squared Error (MSE) of the estimators, largely driven by the strong temporal autocorrelation of the target variable. In addition to supporting the estimation phase, the Frame-SBS archive can also inform sample design. Our analyses indicate that achieving reliable estimates in currently unplanned domains would require increasing the sample size in the services sector and in specific regions, particularly Lombardy and Lazio.

Suggested Citation

  • Marco Bottone & Maria Cristina Casciano & Enrico Fabrizi & Salvatore Filiberti & Andrea Neri & Mariagrazia Rinaldi, 2025. "Integrating survey and administrative data to estimate firms' turnover in unplanned domains: evidence from the Invind survey," Questioni di Economia e Finanza (Occasional Papers) 995, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:opques:qef_995_25
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    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2025-0995/QEF_995_25.pdf
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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: 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

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