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Building panels from archives: the longitudinal representativity

Author

Listed:
  • Silvia Biffignandi

    (University of Bergamo)

  • Alessandro Zeli

    (Istat)

Abstract

In this paper, starting from ASIA business register and from the related Events Register, the longitudinally persistency of core units of the abovementioned database is examined. The M&A events are considered. To evaluate the representativity of the longitudinal panel obtained using the proposed approach, the dataset is integrated with the financial reports database with reference to some relevant economic variables. Italian financial reports database includes annual reports transmitted (according to the law) to the local Chamber of Commerce (CC) by all limited firms. The annual reports are collected and checked by CC. The database includes around 700,000 firm financial reports every year. It represents a very rich and complete source of information, therefore in this study it is used as reference target population. The complete set of data is compared both to panel based on the M&A (Mergers and Acquisitions) events and to results related to a panel build up without reference to the M&A events. Comparative analyses are carried out for the representativeness of most important economic variables. Representativeness with respect to main economic variables is analyzed. Statistical analyses, broken down by specific categories, based mainly on R-indicators are performed.

Suggested Citation

  • Silvia Biffignandi & Alessandro Zeli, 2022. "Building panels from archives: the longitudinal representativity," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 121-138, April.
    • Handle: RePEc:spr:metron:v:80:y:2022:i:1:d:10.1007_s40300-021-00199-5
    DOI: 10.1007/s40300-021-00199-5
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380.
    4. Anja Malchin & Ramona Voshage, 2009. "Official Firm Data for Germany," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 129(3), pages 501-513.
    5. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284.
    6. Barry Schouten & Jelke Bethlehem & Koen Beullens & Øyvin Kleven & Geert Loosveldt & Annemieke Luiten & Katja Rutar & Natalie Shlomo & Chris Skinner, 2012. "Evaluating, Comparing, Monitoring, and Improving Representativeness of Survey Response Through R-Indicators and Partial R-Indicators," International Statistical Review, International Statistical Institute, vol. 80(3), pages 382-399, December.
    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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    More about this item

    Keywords

    Research methods; Coding; Database integration; M&A events; Representativity; R-index;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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