“…This result is similar to the findings concerning U.K. firms reported in Kumar (1985) and Geroski et al (1997). Notice, however, that investigations on different database reveals the presence of different linear structures (see Contini and Revelli, 1992;Boeri and Cramer, 1992, respectively, on Italian and German data).…”
Section: Discussionsupporting
confidence: 91%
“…Similar results are discussed in Kumar (1985) and Geroski et al (1997). However, the empirical evidence concerning the sign and magnitude of this autocorrelation is mixed: for contrasting evidence (see Contini and Revelli, 1992;Boeri and Cramer, 1992).…”
In this paper we present a description of the growth and diversification patterns of the top firms in the worldwide pharmaceutical industry. We apply parametric and non-parametric methods to the analysis of firms size distribution and its dynamics. Our study confirms the results of previous empirical analyses of the growth dynamics of firms but also reveals structural features of the pharmaceutical industry that have never been investigated before. Using firm sales at a high level of disaggregation, we are able to analyze the diversification structure of the firm and study its relation with the aggregate firm size. Copyright Springer 2005diversification, firm growth, pharmaceutical industry, size distribution,
“…This result is similar to the findings concerning U.K. firms reported in Kumar (1985) and Geroski et al (1997). Notice, however, that investigations on different database reveals the presence of different linear structures (see Contini and Revelli, 1992;Boeri and Cramer, 1992, respectively, on Italian and German data).…”
Section: Discussionsupporting
confidence: 91%
“…Similar results are discussed in Kumar (1985) and Geroski et al (1997). However, the empirical evidence concerning the sign and magnitude of this autocorrelation is mixed: for contrasting evidence (see Contini and Revelli, 1992;Boeri and Cramer, 1992).…”
In this paper we present a description of the growth and diversification patterns of the top firms in the worldwide pharmaceutical industry. We apply parametric and non-parametric methods to the analysis of firms size distribution and its dynamics. Our study confirms the results of previous empirical analyses of the growth dynamics of firms but also reveals structural features of the pharmaceutical industry that have never been investigated before. Using firm sales at a high level of disaggregation, we are able to analyze the diversification structure of the firm and study its relation with the aggregate firm size. Copyright Springer 2005diversification, firm growth, pharmaceutical industry, size distribution,
“…Theoretical growth rates are considerable for the lowest size (growth rate for employees is higher than 30% for firms with 11 employees), but much lower as firm size increases (17% for 31 employees, 9% for 51 employees and 4% for 100 employees). Estimates of parameter θ 2 indicate negative statistically significant growth persistence only for employees (not for real sales), which is in line with the literature on Italy (CONTINI and REVELLI, 1989). The overall conclusion is that the results of Tables 5 and 6 support the findings in most of literature on empirical lack of validity for Gibrat's law.…”
We want to thank Alessandro Arrighetti and Marco Corsino for their comments on a previous version of this paper, and the participants at the DISA seminar -University of Trento (Italy), especially Christopher Gilbert, Maria Luisa Segnana and Paola Villa for useful suggestions.
“…These studies find a positive serial correlation, which is the normal finding when growth correlation across periods exists. One exception is Contini and Revelli (1989), who find negative growth correlation for Italian manufacturing firms. Alternatively, Tschoegl (1983) finds that growth rates are serially uncorrelated when looking at a sample of large international banks.…”
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