On the mean/variance relationship of the firm size distribution: Evidence and some theory

2012 ◽  
Vol 11 ◽  
pp. 109-117 ◽  
Author(s):  
Edoardo Gaffeo ◽  
Corrado Di Guilmi ◽  
Mauro Gallegati ◽  
Alberto Russo
Keyword(s):  
Size Distribution ◽  
Firm Size ◽  
Firm Size Distribution ◽  
The Mean ◽  
Relationship Of ◽  
Mean Variance

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
Keyword(s):  
Size Distribution ◽  
Firm Size ◽  
Technical Change ◽  
Occupational Choice ◽  
Firm Size Distribution ◽  
The Us ◽  
The Mean ◽  
Key Aspects ◽  
Rich Countries ◽  
Over Time

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)

Employers and the 1881 Population Census of England and Wales

2015 ◽  
pp. 29-49 ◽  
Author(s):  
Robert J. Bennett ◽  
Gill Newton
Keyword(s):  
Systematic Error ◽  
Size Distribution ◽  
Firm Size ◽  
Extraction Method ◽  
Building Industry ◽  
Population Census ◽  
Firm Size Distribution ◽  
England And Wales ◽  
Occupational Information ◽  
First Results

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.

Growth and Firm Size Distribution

2016 ◽  
Vol 14 (2) ◽  
pp. 61-73
Author(s):  
Wei Zhang ◽  
Yan-Chun Zhu ◽  
Jian-Bo Wen ◽  
Yi-Jie Zhuang
Keyword(s):  
Size Distribution ◽  
Firm Size ◽  
Zipf’S Law ◽  
Growth Path ◽  
Firm Size Distribution ◽  
Zipf's Law ◽  
Gibrat’S Law ◽  
Gibrat's Law ◽  
Quantile Regression Method ◽  
The Relationship

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.

scholarly journals Fluctuation of Firm Size in the Long-Run and Bimodal Distribution

2011 ◽  
Vol 2011 ◽  
pp. 1-21 ◽  
Author(s):  
Hideaki Aoyama ◽  
Lars Grüne ◽  
Willi Semmler ◽  
Yoshi Fujiwara ◽  
Wataru Souma
Keyword(s):  
Size Distribution ◽  
Firm Size ◽  
Time Distribution ◽  
Decision Problem ◽  
Bimodal Distribution ◽  
Economic Literature ◽  
Data Set ◽  
Firm Size Distribution ◽  
Long Run ◽  
Different Types

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.

scholarly journals Zipf law and the firm size distribution: a critical discussion of popular estimators

2015 ◽  
Vol 25 (3) ◽  
pp. 585-610 ◽  
Author(s):  
Giulio Bottazzi ◽  
Davide Pirino ◽  
Federico Tamagni
Keyword(s):  
Size Distribution ◽  
Firm Size ◽  
Critical Discussion ◽  
Firm Size Distribution ◽  
Zipf Law

scholarly journals Bank Liquidity Provision across the Firm Size Distribution

2020 ◽  
Author(s):  
Gabriel Chodorow-Reich ◽  
Olivier Darmouni ◽  
Stephan Luck ◽  
Matthew C. Plosser
Keyword(s):  
Size Distribution ◽  
Firm Size ◽  
Firm Size Distribution ◽  
Liquidity Provision
Sign in / Sign up

Export Citation Format

Share Document