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

Marco Bottone (), Maria Cristina Casciano (), Enrico Fabrizi (), Salvatore Filiberti (), Andrea Neri and Mariagrazia Rinaldi ()
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Marco Bottone: Bank of Italy
Maria Cristina Casciano: Istat
Enrico Fabrizi: Universita Cattolica del Sacro Cuore
Salvatore Filiberti: Istat
Mariagrazia Rinaldi: Istat

No 995, Questioni di Economia e Finanza (Occasional Papers) from Bank of Italy, Economic Research and International Relations Area

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.

Keywords: integration of survey and administrative data; estimation for unplanned domains; regional economic analysis (search for similar items in EconPapers)
JEL-codes: C13 C81 C83 (search for similar items in EconPapers)
Date: 2025-12
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Persistent link: https://EconPapers.repec.org/RePEc:bdi:opques:qef_995_25

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