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Longitudinal business data construction and quality: Two different approaches

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  • Silvia Biffignandi
  • Alessandro Zeli

Abstract

Reducing the response burden and widening available statistical information necessitate new approaches in the National Statistical Institutes production process. Our article focuses on longitudinal data needs. Two approaches for building business longitudinal data in a context of cross‐section surveys and administrative sources information are considered. The article describes construction approaches and evaluates the quality of two data bases obtained through multisources integration. The computed databases aim to represent the target population of Italian firms with 20 persons employed and over. The similarity of the distribution of the main economic variables between the target population and the computed databases is considered a basic criterion in evaluating the quality of the created databases. To this end, rank correlation, and the Fligner–Policello test are applied. In addition, representativeness R indicators are computed. No differences are found between distributions.

Suggested Citation

  • Silvia Biffignandi & Alessandro Zeli, 2021. "Longitudinal business data construction and quality: Two different approaches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(2), pages 92-114, May.
    • Handle: RePEc:bla:stanee:v:75:y:2021:i:2:p:92-114
    DOI: 10.1111/stan.12228
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    References listed on IDEAS

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    1. Giovanni Dosi & Marco Grazzi & Chiara Tomasi & Alessandro Zeli, 2012. "Turbulence underneath the big calm? The micro-evidence behind Italian productivity dynamics," Small Business Economics, Springer, vol. 39(4), pages 1043-1067, November.
    2. Schouten, Barry & Shlomo, Natalie & Skinner, Chris J., 2011. "Indicators for monitoring and improving representativeness of response," LSE Research Online Documents on Economics 39121, London School of Economics and Political Science, LSE Library.
    3. Li‐Chun Zhang, 2012. "Topics of statistical theory for register‐based statistics and data integration," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(1), pages 41-63, February.
    4. Grazzi, Marco & Sanzo, Roberto & Secchi, Angelo & Zeli, Alessandro, 2013. "The building process of a new integrated system of business micro-data 1989–2004," Journal of Economic and Social Measurement, IOS Press, issue 4, pages 291-324.
    5. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380.
    6. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284.
    7. Biffignandi, Silvia & Nascia, Leopoldo & Zeli, Alessandro, 2016. "Combining survey and administrative data in Italian business surveys," Journal of Economic and Social Measurement, IOS Press, issue 1, pages 67-83.
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    Cited by:

    1. M. Bini & L. Nascia & A. Zeli, 2023. "Foreign ownership of enterprises and employment: the pre-crisis period in Italy," SN Business & Economics, Springer, vol. 3(1), pages 1-20, January.

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