LEADER 05495nam 22007815 450 001 9910255057003321 005 20220414232530.0 010 $a3-319-27410-4 024 7 $a10.1007/978-3-319-27410-2 035 $a(CKB)3710000000571655 035 $a(EBL)4205844 035 $a(SSID)ssj0001636705 035 $a(PQKBManifestationID)16394251 035 $a(PQKBTitleCode)TC0001636705 035 $a(PQKBWorkID)14955716 035 $a(PQKB)10183259 035 $a(DE-He213)978-3-319-27410-2 035 $a(MiAaPQ)EBC4205844 035 $a(EXLCZ)993710000000571655 100 $a20151221d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe distribution of income and wealth $eparametric modeling with the ?-generalized family /$fby Fabio Clementi, Mauro Gallegati 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (190 p.) 225 1 $aNew Economic Windows,$x2039-411X 300 $aDescription based upon print version of record. 311 $a3-319-27408-2 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- The Revived Interest in the Problems of Income and Wealth Distribution -- Re-incorporating Distributional Issues Into the Main Body of Economic Analysis -- Aim and Contents of this Book -- The Parametric Approach to Income and Wealth Distributional Analysis -- The Idea of a Parametric Model for Income and Wealth Distributions -- Brief History of the Models for Studying Income and Wealth Distributions -- The ?-Generalized Distribution -- Underlying Stochastic Process -- Empirical Results and Comparisons to Alternative Income Distributions -- The ?-Generalized Mixture Model for the Size Distribution of Wealth -- Motivation -- Model Specification -- Moments of the ?-Generalized Mixture Model for Net Wealth Distribution -- The Lorenz Curve and the Gini Index of the Net Wealth Distribution Model -- Empirical Results and Comparison of Finite Mixture Models for Net Wealth Distribution -- Four-Parameter Extensions of the ?-Generalized Distribution -- Definitions and Basic Properties -- Population Characteristics -- Empirical Results and Comparisons to Alternative Four-Parameter Statistical Distributions -- Conclusions -- Appendices -- References -- Author Index -- Subject Index. 330 $aThis book presents a systematic overview of cutting-edge research in the field of parametric modeling of personal income and wealth distribution, which allows one to represent how income/wealth is distributed within a given population. The estimated parameters may be used to gain insights into the causes of the evolution of income/wealth distribution over time, or to interpret the differences between distributions across countries. Moreover, once a given parametric model has been fitted to a data set, one can straightforwardly compute inequality and poverty measures. Finally, estimated parameters may be used in empirical modeling of the impact of macroeconomic conditions on the evolution of personal income/wealth distribution. In reviewing the state of the art in the field, the authors provide a thorough discussion of parametric models belonging to the ??-generalized? family, a new and fruitful set of statistical models for the size distribution of income and wealth that they have developed over several years of collaborative and multidisciplinary research. This book will be of interest to all who share the belief that problems of income and wealth distribution merit detailed conceptual and methodological attention. 410 0$aNew Economic Windows,$x2039-411X 606 $aEconometrics 606 $aSociophysics 606 $aEconophysics 606 $aEconomic sociology 606 $aStatistics  606 $aGame theory 606 $aEconometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/W29010 606 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 606 $aOrganizational Studies, Economic Sociology$3https://scigraph.springernature.com/ontologies/product-market-codes/X22020 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aGame Theory, Economics, Social and Behav. Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13011 615 0$aEconometrics. 615 0$aSociophysics. 615 0$aEconophysics. 615 0$aEconomic sociology. 615 0$aStatistics . 615 0$aGame theory. 615 14$aEconometrics. 615 24$aData-driven Science, Modeling and Theory Building. 615 24$aOrganizational Studies, Economic Sociology. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aGame Theory, Economics, Social and Behav. Sciences. 676 $a339.2 700 $aClementi$b Fabio$4aut$4http://id.loc.gov/vocabulary/relators/aut$0950749 702 $aGallegati$b Mauro$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910255057003321 996 $aThe Distribution of Income and Wealth$92149574 997 $aUNINA