001437795 000__ 03885cam\a2200577\i\4500
001437795 001__ 1437795
001437795 003__ OCoLC
001437795 005__ 20230309004233.0
001437795 006__ m\\\\\o\\d\\\\\\\\
001437795 007__ cr\un\nnnunnun
001437795 008__ 210702s2021\\\\si\a\\\\obs\\\001\0\eng\d
001437795 019__ $$a1266810571$$a1284943261
001437795 020__ $$a9789811622977$$q(electronic bk.)
001437795 020__ $$a9811622973$$q(electronic bk.)
001437795 020__ $$z9789811622960
001437795 020__ $$z9811622965
001437795 0247_ $$a10.1007/978-981-16-2297-7$$2doi
001437795 035__ $$aSP(OCoLC)1258657839
001437795 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dYDX$$dEBLCP$$dOCLCF$$dDCT$$dN$T$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001437795 049__ $$aISEA
001437795 050_4 $$aHG176.5$$b.I75 2021
001437795 08204 $$a332.015195$$223
001437795 1001_ $$aIshikawa, Atushi,$$eauthor.
001437795 24510 $$aStatistical Properties in Firms' Large-scale Data /$$cby Atushi Ishikawa.
001437795 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001437795 264_4 $$c©2021
001437795 300__ $$a1 online resource :$$billustrations (some color)
001437795 336__ $$atext$$btxt$$2rdacontent
001437795 337__ $$acomputer$$bc$$2rdamedia
001437795 338__ $$aonline resource$$bcr$$2rdacarrier
001437795 347__ $$atext file
001437795 347__ $$bPDF
001437795 4901_ $$aEvolutionary economics and social complexity science,$$x2198-4204 ;$$vvolume 26
001437795 504__ $$aIncludes bibliographical references and index.
001437795 5050_ $$aChapter 1. Introduction -- Chapter 2. Non-Gibrat's Property in the Mid-scale Range -- Chapter 3. Quasi-statistically Varying Power-law and Log-normal Distributions -- Chapter 4. Extension of Non-Gibrat's Property -- Chapter 5. Long-term Firm Growth Derived from Non-Gibrat's Property and Gibrat's Law -- Chapter 6. Firm-age Distribution and the Inactive Rate of Firms -- Chapter 7. Statistical Properties in Inactive Rate of Firms -- Chapter 8. Power Laws with Different Exponents in Firm-Size Variables -- Chapter 9. Why does Production Function Take the Cobb-Douglas Form?
001437795 506__ $$aAccess limited to authorized users.
001437795 520__ $$aThis is the first book to provide a systematic description of statistical properties of large-scale financial data. Specifically, the power-law and log-normal distributions observed at a given time and their changes using time-reversal symmetry, quasi-time-reversal symmetry, Gibrat's law, and the non-Gibrat's property observed in a short-term period are derived here. The statistical properties observed over a long-term period, such as power-law and exponential growth, are also derived. These subjects have not been thoroughly discussed in the field of economics in the past, and this book is a compilation of the author's series of studies by reconstructing the data analyses published in 15 academic journals with new data. This book provides readers with a theoretical and empirical understanding of how the statistical properties observed in firms' large-scale data are related along the time axis. It is possible to expand this discussion to understand theoretically and empirically how the statistical properties observed among differing large-scale financial data are related. This possibility provides readers with an approach to microfoundations, an important issue that has been studied in economics for many years.
001437795 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 7, 2021).
001437795 650_0 $$aFinance$$vStatistics.
001437795 655_7 $$aStatistics.$$2fast$$0(OCoLC)fst01423727
001437795 655_7 $$aStatistics.$$2lcgft
001437795 655_7 $$aStatistiques.$$2rvmgf
001437795 655_0 $$aElectronic books.
001437795 77608 $$iPrint version:$$z9811622965$$z9789811622960$$w(OCoLC)1245656987
001437795 830_0 $$aEvolutionary economics and social complexity science ;$$vv. 26.$$x2198-4204
001437795 852__ $$bebk
001437795 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2297-7$$zOnline Access$$91397441.1
001437795 909CO $$ooai:library.usi.edu:1437795$$pGLOBAL_SET
001437795 980__ $$aBIB
001437795 980__ $$aEBOOK
001437795 982__ $$aEbook
001437795 983__ $$aOnline
001437795 994__ $$a92$$bISE