The stochastic patterns of firm growth are examined with the use of a data set of 4,975 firms surviving in the Greek services sector over the 1995–2001 period. The analysis first takes into account the intensity of information and communication technologies (ICT) in the services industries and then, through a system dynamic panel data technique, investigates how initial size and past growth influence firm growth. The classification of industries as three ICT-related groups provides interesting results at both the aggregated group level and the disaggregated industrial level. In general, Gibrat’s Law is accepted for firms in ICT intensive industries, while it is rejected in non-ICT industries.
Review of Industrial Organization – Springer Journals
Published: Feb 4, 2010
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