Abstract
Using a dynamic panel data model with serial correlation in the error term, the purpose of this paper is to examine if Gibrat’s Law can be rejected for the services sector as it has been for manufacturing. The aim of this paper is also to improve the understanding of the empirical determinants of firm growth by extending the literature to include a new variable related to foreign participation. In addition, and based on recent developments in the growth of firms, our analysis also includes the role of the financial structure. The sample used is an unbalanced panel data set that includes all size classes, including the smallest surviving firms, from the Portuguese service sector over the period from 1995 to 2001. Applying the GMM-system estimator our findings suggest that Gibrat’s Law is rejected for the services firms. In addition, the results also indicate that firm growth is mainly explained by firm size and age. These results have significant policy implications.
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Notes
Sutton (1997) presents an exhaustive survey on firm growth.
See Audrestch et al. (2004) for a recent and exhaustive review of empirical studies on firm growth rates.
MES is defined as the minimum size of the largest firms in a business group that accounts for one half of the value of sales in that business group.
α ≠ 0 would allow for a deterministic trend specific to each firm, which could exist but which would be very difficult to identify with few observations per firm. The possibility of a common deterministic trend is captured, however, through the time effects δ t .
With β < 1, in the short run it is possible for the variance of the cross-sectional distribution of firm sizes to either increase or decrease. In the long run, however, this variance converges and stabilises at its equilibrium value.
According to standard results this holds, at least in large samples, without other explanatory variables.
Although a more efficient two-step GMM estimator is available, the asymptotic standard errors for the two-step estimator can be an unreliable guide for inference in finite samples. Thus, inference based on the one-step estimator has been found to be more reliable than the one based on the (asymptotically) more efficient two-step estimator (Arellano and Bond 1991).
Because pooled OLS is not an appropriate estimator of the parameters of the growth specifications, we focused on GMM-system results. The pooled OLS results will be made available upon request.
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Acknowledgements
We are grateful to Frode Steen, Helen Louri, Christopher Snyder and the participants at the International Industrial Organization Conference (Chicago, 2004), First CEPR School in Applied Industrial Organisation (Hydra, 2004), and 31th European Association for Research in Industrial Economics (Berlin, 2004) for useful comments on an earlier draft. All errors and omissions remain our responsibility.
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Oliveira, B., Fortunato, A. The dynamics of the growth of firms: evidence from the services sector. Empirica 35, 293–312 (2008). https://doi.org/10.1007/s10663-008-9065-4
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DOI: https://doi.org/10.1007/s10663-008-9065-4