×

Do firms share the same functional form of their growth rate distribution? A statistical test. (English) Zbl 1402.91376

Summary: We propose a hypothesis testing procedure to investigate whether the same growth rate distribution is shared by all the firms in a balanced panel or, more generally, whether they share the same functional form for this distribution, without necessarily sharing the same parameters. We apply the test to panels of US and European Union publicly quoted manufacturing firms, both at the sectoral and at the subsectoral NAICS level. We consider the following null hypotheses about the growth rate distribution of the individual firms: (i) an unknown shape common to all firms, with all the firms sharing also the same parameters, or with the firm variance related to its firm size through a scaling relationship, and (ii) several functional shapes described by the Subbotin family of distributions. Our empirical results indicate that firms do not have a common shape of the growth rate distribution at the sectorial NAICS level, whereas firms may typically be described by the same shape of the distribution at the subsectorial level, even if the specific shape may not be the same for different subsectors.

MSC:

91B62 Economic growth models
91B38 Production theory, theory of the firm
91B74 Economic models of real-world systems (e.g., electricity markets, etc.)
91B82 Statistical methods; economic indices and measures

References:

[1] Alfarano, S.; Milakovic, M.; Irle, A.; Kauschke, J., A statistical equilibrium model of competitive firms, J. Econ. Dyn. Control, 36, 136, (2012) · Zbl 1241.91070
[2] Bottazzi, G.; Dosi, G.; Lippi, M.; Pammolli, F.; Riccaboni, M., Innovation and corporate growth in the evolution of the drug industry, Int. J. Ind. Org., 19, 1161, (2001)
[3] Bottazzi, G.; Secchi, A., Why are distributions of firm growth rates tent-shaped?, Econ. Lett., 80, 415, (2003) · Zbl 1254.91564
[4] Bottazzi, G.; Secchi, A., Common properties and sectoral specificities in the dynamics of US manufacturing companies, Rev. Ind. Org., 23, 217, (2003)
[5] Bottazzi, G.; Secchi, A., Explaining the distribution of firm growth rates, RAND J. Econ., 37, 235, (2006)
[6] Bottazzi, G.; Cefis, E.; Dosi, G.; Secchi, A., Invariances and diversities in the patterns of industrial evolutionsome evidence from Italian manufacturing industries, Small Bus. Econ., 29, 13, (2006)
[7] Bottazzi, G.; Secchi, A., A new class of asymmetric exponential power densities with applications to economics and finance, Ind. Corp. Change, 20, 991, (2011)
[8] Capasso, M.; Alessi, L.; Barigozzi, M.; Fagiolo, G., On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution functionthe case of unknown parameters, Adv. Complex Syst., 12, 157, (2009) · Zbl 1170.62011
[9] Coad, A., 2007. Firm Growth: A Survey. Papers on Economics and Evolution 2007-03, Max Planck Institute of Economics, Evolutionary Economics Group.
[10] Coad, A., A closer look at serial growth rate correlation, Rev. Ind. Org., 31, 69, (2007)
[11] Elton, E. J.; Gruber, M. J.; Blake, C. R., Survivor bias and mutual fund performance, Rev. Financ. Stud., 9, 1097, (1996)
[12] Fagiolo, G.; Napoletano, M.; Roventini, A., Are output growth-rate distributions fat-tailed? some evidence from OECD countries, J. Appl. Econom., 23, 639, (2008) · Zbl 1189.91159
[13] Fu, D.; Pammolli, F.; Buldyrev, S. V.; Riccaboni, M.; Matia, K.; Yamasaki, K.; Stanley, H. E., The growth of business firmstheoretical framework and empirical evidence, Proc. Natl. Acad. Sci. USA, 102, 18801, (2006) · Zbl 1189.91100
[14] Gibrat, R., LES inégalités économiques, (1931), Librairie du Recueil Sirey Paris · JFM 57.0635.06
[15] Huitema, B. E.; McKean, J. W., Autocorrelation estimation and inference with small samples, Psychol. Bull., 110, 291, (1991)
[16] Lotti, F.; Santarelli, E.; Vivarelli, M., Does Gibrat’s law hold among Young, small firms?, J. Evol. Econ., 13, 213, (2003)
[17] Riccaboni, M.; Pammolli, F.; Buldyrev, S.; Ponta, L.; Stanley, H. E., The size variance relationship of business firm growth rates, Proc. Natl. Acad. Sci. USA, 105, 19595, (2008)
[18] Santarelli, E.; Klomp, L.; Thurik, A. R., Gibrat’s lawan overview of the empirical literature, (Santarelli, E., Entrepreneurship, Growth, and Innovation. The Dynamics of Firms and Industries, (2006), Springer Berlin), 41-73
[19] Stanley, M. H.R.; Amaral, L. A.N.; Buldyrev, S. V.; Havlin, S.; Leschorn, H.; Maass, P.; Salinger, M. A.; Stanley, H. E., Scaling behaviour in the growth of companies, Nature, 379, 804, (1996)
[20] Stephens, M. A., EDF statistics for goodness of fit and some comparisons, J. Am. Stat. Assoc., 69, 730, (1974)
[21] Subbotin, M., On the law of frequency of errors, Mat. Sb., 31, 296, (1923) · JFM 49.0370.01
[22] Sutton, J., Gibrat’s legacy, J. Econ. Lit., 35, 40, (1997)
[23] Sutton, J., Market share dynamics and the “persistence of leadership” debate, Am. Econ. Rev., 97, 222, (2007)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.