Gibrat's law is a referent model of corporate growth dynamics. This paper employs Bayesian panel data methods to test for Gibrat's law and its implications. Using a Pharmaceutical Industry Database (1987-1998), we find evidence against Gibrat's law on average, within or across industries....

This paper proposes a general framework to account for the divergent results in the empirical literature on the relation between firm sizes and growth rates, and on many results on growth autocorrelation. In particular, we provide an explanation for why traces of the LPE sometimes occur in...

This paper presents a model of the life cycle that drives and is driven by R&D. In the model, firms have the option to improve their quality or to invest R&D resources in efficiency gains. Faced with this tradeoff, young firms opt for quality instead of efficiency improvements, whereas more...

In this paper, we compare standard approaches used to handle losses in logarithmic stochastic profit frontier models with a simple novel approach. We discuss discriminatory power, rank stability and precision of profit efficiency scores. Our new method enhances rank stability and discriminatory...

This paper investigates the forces driving output change in a panel of EU manufacturing industries. A flexible modeling strategy is adopted that accounts for (i) inefficient use of resources, and (ii) differences in the production technology across industries. With our model we are able to...

In this paper we seek to contribute to the literature on competition and innovation by focusing on individual firms within the U.S. banking industry in the period 1984-2004. We measure innovation by estimating technology gaps and find evidence of an inverted-U relationship between competition...