Abstract
We employed the latest version of the world’s largest corporate financial database and identified the following three statistical properties of the physical labor productivity of firms: 1) The probability density function (PDF) of labor productivity follows power-law and log-normal distributions in the large- and mid-scale ranges. 2) Time-reversal symmetry was observed in the correlation of labor productivities in two consecutive years, and the initial-value dependence of the growth-rate distribution has regularity. These two properties accurately derive the above two kinds of PDFs. 3) The dependence of labor productivity distribution is negligible on the number of employees. This indicates a slight difference in the distribution of labor productivity among large-, mid-, and small-sized firms.
Highlights
In recent years, large-scale corporate financial data have been released to researchers
In this subsection we focus on the distribution of labor productivity, as the ratio of number of employees to operating revenues, which are the firm-size variables in the same year
Employing the latest version of ORBIS, the world’s largest corporate financial database available to researchers, we discuss the statistical properties of physical labor productivity using number of employees and operating revenues
Summary
Large-scale corporate financial data have been released to researchers. Instead its analysis focuses on physical labor productivity, which can be calculated from the firm-size variables This is because in large-scale corporate financial databases, the data on the number of employees exist up to several people, and coverage of the small scale is higher than that of capital. This is the first time that our approach to such firm-size variables as the number of employees and operating revenues has been applicable to labor productivity. Note that the observation of labor productivity c in two consecutive years is to confirm the time-reversal symmetry, not to view the flow
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
