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Statistical Properties in Firms’ Large-scale Data

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Statistical Properties in Firms’ Large-scale Data/ by Atushi Ishikawa.
作者:	Ishikawa, Atushi.
面頁冊數:	XV, 140 p. 56 illus., 5 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics for Social Sciences, Humanities, Law. -
電子資源:	https://doi.org/10.1007/978-981-16-2297-7
ISBN:	9789811622977

Statistical Properties in Firms’ Large-scale Data
Ishikawa, Atushi.

Statistical Properties in Firms’ Large-scale Data[electronic resource] /by Atushi Ishikawa. - 1st ed. 2021. - XV, 140 p. 56 illus., 5 illus. in color.online resource. - Evolutionary Economics and Social Complexity Science,262198-4212 ;. - Evolutionary Economics and Social Complexity Science,6.

Chapter 1. Introduction -- Chapter 2. Non-Gibrat’s Property in the Mid-scale Range -- Chapter 3. Quasi-statistically Varying Power-law and Log-normal Distributions -- Chapter 4. Extension of Non-Gibrat’s Property -- Chapter 5. Long-term Firm Growth Derived from Non-Gibrat’s Property and Gibrat’s Law -- Chapter 6. Firm-age Distribution and the Inactive Rate of Firms -- Chapter 7. Statistical Properties in Inactive Rate of Firms -- Chapter 8. Power Laws with Different Exponents in Firm-Size Variables -- Chapter 9. Why does Production Function Take the Cobb-Douglas Form?.

This is the first book to provide a systematic description of statistical properties of large-scale financial data. Specifically, the power-law and log-normal distributions observed at a given time and their changes using time-reversal symmetry, quasi-time-reversal symmetry, Gibrat's law, and the non-Gibrat's property observed in a short-term period are derived here. The statistical properties observed over a long-term period, such as power-law and exponential growth, are also derived. These subjects have not been thoroughly discussed in the field of economics in the past, and this book is a compilation of the author's series of studies by reconstructing the data analyses published in 15 academic journals with new data. This book provides readers with a theoretical and empirical understanding of how the statistical properties observed in firms’ large-scale data are related along the time axis. It is possible to expand this discussion to understand theoretically and empirically how the statistical properties observed among differing large-scale financial data are related. This possibility provides readers with an approach to microfoundations, an important issue that has been studied in economics for many years.

ISBN: 9789811622977

Standard No.: 10.1007/978-981-16-2297-7doiSubjects--Topical Terms:

1211304
Statistics for Social Sciences, Humanities, Law.

LC Class. No.: HB172.5

Dewey Class. No.: 339

Statistical Properties in Firms’ Large-scale Data
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