Long-Term Firm Growth Derived from Non-Gibrat’s Property and Gibrat’s Law

Author(s):  
Atushi Ishikawa
2021 ◽  
pp. 026010792198991
Author(s):  
Boby Chaitanya Villari ◽  
Balaji Subramanian ◽  
Piyush Kumar ◽  
Pradeep Kumar Hota

Growth models such as Gibrat’s law and Jovanovic’s theory that examine the relationship between the firms’ growth, age and size have either been tested on data from developed economies or from the manufacturing sectors in developing economies. This study checks the suitability of these models in service sectors in developing economies as service sectors have distinct characteristics and developing economies such as India are heavily dependent on this sector. The current study considers three major service sectors contributing to India’s economy vis-à-vis financial services, information technology and real estate for the period 2002–2005. We observed that during 2002–2005, India’s economy was stable without wide fluctuations in economic performance, such as gross domestic product, unemployment or inflation. These sectors not only had a significant impact on economic growth but also had comprehensive microeconomic data. Our results negate both Gibrat’s law and Jovanovic’s theory. We argue that service sectors which are knowledge-intensive will experience different growth patterns compared to manufacturing sectors. We find a definite and significant relationship between firms’ growth and their size and age. Also, we find concluding evidence that younger firms up to 10 years of age struggle a lot more than older firms in the Indian service sector. JEL: D20, D21, D22, D02


2003 ◽  
Vol 3 (1) ◽  
Author(s):  
James N Giordano

Abstract The survivor technique for estimating returns to scale and optimum firm size has generated a slow but steady literature since its 1958 pilot presentation by George Stigler. This article (1) integrates advances in its application into a complete demonstration of how the technique works, (2) distinguishes a survivor analysis from the related but different analyses of individual firm growth and size distribution as addressed, for example, by Gibrat's Law of Proportionate Effect, (3) surveys a few exemplary survivor analyses, highlighting their alternative measures of scale and survival, and (4) unifies the scattered discussion of criticisms and qualifications that surround the technique. Accordingly, this essay seeks to reposition the survivor technique as a viable statistical option for research on those industries which meet its criteria.


2018 ◽  
Vol 164 ◽  
pp. 5-9 ◽  
Author(s):  
Roberta Distante ◽  
Ivan Petrella ◽  
Emiliano Santoro

2012 ◽  
pp. 31-56
Author(s):  
Nguyet Nguyen Thi

Employing the dynamic panel model, this study tests the validity of Gibrat’s law and investigates determinants of firm growth in Vietnam. The empirical study is set up for both simple and multiple regressions with the data of the commercial-service sector. The balanced panel dataset used in this paper is abstracted from the National Census of Vietnamese Enterprises during the period 2000-2007. Applying the system GMM estimator to control unobserved heterogeneity and endogeneity, the findings imply that Gibrat’s Law should be rejected. The results confirm the sen- sitivity of the growth-size relationship to firm attributes. Besides, firm size and labor quality are the main determinants of firm growth.


Author(s):  
Roman Fiala ◽  
Veronika Hedija

This paper deals with the investigation of the relationship between firm size and firm in the Czech Republic during 2007–2012. The study aims to examine to what extent the confirmation or rejection of Gibrat’s law depends on the indicator of firm size. For measuring firm size we use three indicators: revenues, number of employees and total assets. The study uses data collected from the database Albertina CZ Gold Edition. Final dataset includes the data about more than 35,000 firms. The validity of Gibrat’s law was tested with the help of linear regression model with first-order autoregressive process. Gibrat’s law is rejected for all three indicators of firm size. Hence, the selected indicator of firm size is not proved to be important factor in verification of Gibrat’s law validity. It is also found out that the small firms in profit industries (A-N according to CZ-NACE classification) grow faster than their larger counterparts in the Czech Republic.


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