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Response burden and data quality in business surveys: the experience of Banca d'Italia

Author

Listed:
  • Marco Bottone

    (Bank of Italy)

  • Lucia Modugno

    (Bank of Italy)

  • Andrea Neri

    (Bank of Italy)

Abstract

In this paper we analyze the dynamics of response burden in the main business surveys conducted by Banca d�Italia and we investigate its relationship with some data quality indicators. We find evidence of a significant increase in actual burden over time which has contributed to amplifying the perceived burden. Our results also show a clear link between a respondent�s perceived effort and the probability of not answering some important questions (such as those relating to expectations of future investments and turnover) or of dropping out of the survey. Further, we find that firms reporting a high perceived burden tend to provide inaccurate answers to quantitative questions and to choose the first plausible response when confronted with complex questions.

Suggested Citation

  • Marco Bottone & Lucia Modugno & Andrea Neri, 2018. "Response burden and data quality in business surveys: the experience of Banca d'Italia," Questioni di Economia e Finanza (Occasional Papers) 467, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:opques:qef_467_18
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    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2018-0467/QEF_467_18.pdf
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    Cited by:

    1. Yan Ting & Williams Douglas, 2022. "Response Burden – Review and Conceptual Framework," Journal of Official Statistics, Sciendo, vol. 38(4), pages 939-961, December.

    More about this item

    Keywords

    esponse burden; business survey; item and unit non-response; measurement error;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    Statistics

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