scholarly journals The Firm Size Distribution across Countries and Skill-Biased Change in Entrepreneurial Technology

2018 ◽  
Vol 10 (3) ◽  
pp. 1-41 ◽  
Author(s):  
Markus Poschke

Development is associated with systematic changes in the firm size distribution. I document that the mean and dispersion of firm size are larger in rich countries, and increased over time for US firms. To analyze the firm size-development link, I construct a frictionless general equilibrium model of occupational choice with skill-biased change in entrepreneurial technology (i.e., technical progress favors better entrepreneurs). The model accounts for key aspects of the US experience with only changes in aggregate technology. It attributes half the variation in mean and dispersion of firm size across countries to technical change. Distortions also affect the size distribution. (JEL J24, L11, L25, L26, O33)

2003 ◽  
Vol 93 (4) ◽  
pp. 1075-1090 ◽  
Author(s):  
Luís M. B Cabral ◽  
José Mata

Using a comprehensive data set of Portuguese manufacturing firms, we show that the firm size distribution is significantly right-skewed, evolving over time toward a lognormal distribution. We also show that selection accounts for very little of this evolution. Instead, we propose a simple theory based on financing constraints. A calibrated version of our model does a good job at explaining the evolution of the firm size distribution.


2012 ◽  
Vol 11 ◽  
pp. 109-117 ◽  
Author(s):  
Edoardo Gaffeo ◽  
Corrado Di Guilmi ◽  
Mauro Gallegati ◽  
Alberto Russo

2015 ◽  
pp. 29-49 ◽  
Author(s):  
Robert J. Bennett ◽  
Gill Newton

This article presents the method and first results of using the 1881 England and Wales Census Enumerators' Books (CEBs) to identify and extract employer records using occupational information. Over 230,000 employers are identified, of which about four fifths employ others. Important sub-groups are also identified of the own account selfemployed, company proprietors, directors and partnerships. The article demonstrates the feasibility of the method and uses the example of the building industry to illustrate firm-size distribution at parish level across England and Wales. The paper indicates the applicability of the extraction method to other censuses, which is now possible using the recently released I-CeM database. The paper also demonstrates some difficulties in the database for 1881, including data keying and coding errors, ranging from 0.5 to 5.5 per cent of entries for larger businesses. Gender miscoding appears to be a systematic error of about 0.7 per 1,000 people. The analysis suggests that where small or atypical sample groups are involved, users of the census database should make detailed checks with manuscript CEBs.


2016 ◽  
Vol 14 (2) ◽  
pp. 61-73
Author(s):  
Wei Zhang ◽  
Yan-Chun Zhu ◽  
Jian-Bo Wen ◽  
Yi-Jie Zhuang

Studies on the firm's size distribution (FSD) can set a good foundation to know about the growth path and mechanism of e-commerce firms. The purpose of this paper is to understand features of the China's listed e-commerce firms by testing Gibrat's law and Zipf's law within the Internet sectors. From a macroscopic perspective, with the approach of OLS estimation, Zipf's coefficient of the FSD is calculated to test whether Zipf's law holds. From a microscopic perspective, the relationship between e-commerce firm size and growth is explored by quantile regression method. The results indicate that from 2005 to 2014, Zipf's law cannot be rejected, with the relationship changing over time, Gibrat's law holds partly. It implies that competition status among China's e-commerce firms becomes more stable.


2018 ◽  
Vol 36 (4) ◽  
pp. 319-325 ◽  
Author(s):  
Noa Gordon ◽  
Salomon M. Stemmer ◽  
Dan Greenberg ◽  
Daniel A. Goldstein

Purpose Cancer drug prices at launch have increased in recent years. It is unclear how individual drug prices change over time after launch and what market determinants influence these changes. We measured the price trajectories of a cohort of cancer drugs after their launch into the US market and assessed the influence of market structure on price changes. Methods We studied the changes in mean monthly costs for a cohort of 24 patented, injectable anticancer drugs that were approved by the US Food and Drug Administration between 1996 and 2012. To account for discounts and rebates, we used the average sales prices published by the Centers for Medicare and Medicaid Services. Costs were adjusted to US general and health-related inflation rates. For each drug, we calculated the cumulative and annual drug cost changes. We then used a multivariable regression model to evaluate the association between market and cost changes over time. Results With a mean follow-up period of 8 years, the mean percent change in cost for all drugs was +25% (range, −14% to +96%). After adjusting for inflation, the mean cost change was +18% (range, −16% to +59%). Rituximab and trastuzumab followed a similar pattern in cost increases over time, and the inflation-adjusted monthly costs rose since approval by 49% and 44%, respectively. New supplemental US Food and Drug Administration approvals, new off-label indications, and new competitors did not influence the annual cost change rates. Conclusion Anticancer drug costs may change substantially after launch. Regardless of competition or supplemental indications, there is a steady increase in costs of patented anticancer agents over time. New regulations may be needed to prevent additional increases in drug costs after launch.


2011 ◽  
Vol 2011 ◽  
pp. 1-21 ◽  
Author(s):  
Hideaki Aoyama ◽  
Lars Grüne ◽  
Willi Semmler ◽  
Yoshi Fujiwara ◽  
Wataru Souma

We study empirically and analytically growth and fluctuation of firm size distribution. An empirical analysis is carried out on a US data set on firm size, with emphasis on one-time distribution as well as growth-rate probability distribution. Both Pareto's law and Gibrat's law are often used to study firm size distribution. Their theoretical relationship is discussed, and it is shown how they are complementable with a bimodal distribution of firm size. We introduce economic mechanisms that suggest a bimodal distribution of firm size in the long run. The mechanisms we study have been known in the economic literature since long. Yet, they have not been studied in the context of a dynamic decision problem of the firm. Allowing for these mechanism thus will give rise to heterogeneity of firms with respect to certain characteristics. We then present different types of tests on US data on firm size which indicate a bimodal distribution of firm size.


2015 ◽  
Vol 25 (3) ◽  
pp. 585-610 ◽  
Author(s):  
Giulio Bottazzi ◽  
Davide Pirino ◽  
Federico Tamagni

Sign in / Sign up

Export Citation Format

Share Document