Statistical Properties in Firms’ Large-scale Data
Springer Verlag, Singapore
978-981-16-2299-1 (ISBN)
Atushi Ishikawa, Kanazawa Gakuin University The author was originally a theoretical physicist of elementary particles. He now specializes in Econophysics and is primarily engaged in the study of the statistical properties of firms’ large-scale financial data. The study covers a wide range of other topics, including analyzing point-of-sale (POS) data, analyzing Twitter, and analyzing land prices.
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?.
Erscheinungsdatum | 29.06.2022 |
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Reihe/Serie | Evolutionary Economics and Social Complexity Science ; 26 |
Zusatzinfo | 5 Illustrations, color; 51 Illustrations, black and white; XV, 140 p. 56 illus., 5 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Wirtschaft ► Allgemeines / Lexika | |
Wirtschaft ► Volkswirtschaftslehre ► Makroökonomie | |
ISBN-10 | 981-16-2299-X / 981162299X |
ISBN-13 | 978-981-16-2299-1 / 9789811622991 |
Zustand | Neuware |
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