In recent years there has been an increasing need to extend the research potential of micro-level business data by allowing dynamic analyses via panel datasets. One option, using official statistics to build a firm level data panel, is to exploit archival data. However, an endemic problem with this approach is the management of firms transformational events: mergers, splits and spin-offs. This paper considers a way to address this problem. It describes the operative procedures utilized in building an experimental panel starting from firm-level databases available from the Italian National Institute of Statistics (Istat).
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