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|a 1266810571
|a 1284943261
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|a 9789811622977
|q (electronic bk.)
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|a 9811622973
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|z 9789811622960
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|z 9811622965
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|a 10.1007/978-981-16-2297-7
|2 doi
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|a (OCoLC)1258657839
|z (OCoLC)1266810571
|z (OCoLC)1284943261
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|b Springer
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|a HG176.5
|b .I75 2021
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|a HCDD
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|a Ishikawa, Atushi,
|e author.
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|a Statistical Properties in Firms' Large-scale Data /
|c by Atushi Ishikawa.
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|a Singapore :
|b Springer,
|c [2021]
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|c ©2021
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|a 1 online resource :
|b illustrations (some color)
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|a text
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|a online resource
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|a text file
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|b PDF
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|a Evolutionary economics and social complexity science,
|x 2198-4204 ;
|v volume 26
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|a Includes bibliographical references and index.
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|a 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.
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|a 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?
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|a Online resource; title from PDF title page (SpringerLink, viewed July 7, 2021).
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|a Finance
|v Statistics.
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|a Finance
|2 fast
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|a Statistics
|2 fast
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|a Statistics.
|2 lcgft
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|a Statistiques.
|2 rvmgf
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|i Print version:
|z 9811622965
|z 9789811622960
|w (OCoLC)1245656987
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830 |
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|a Evolutionary economics and social complexity science ;
|v v. 26.
|x 2198-4204
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856 |
4 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-16-2297-7
|y Click for online access
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|a SPRING-ECON2021
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|a 92
|b HCD
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