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The distribution of income and wealth : parametric modeling with the κ-generalized family The distribution of income and wealth : parametric modeling with the [kappa]-generalized family

معرفی کتاب «The distribution of income and wealth : parametric modeling with the κ-generalized family The distribution of income and wealth : parametric modeling with the [kappa]-generalized family» نوشتهٔ Fabio Clementi, Mauro Gallegati (auth.)، منتشرشده توسط نشر Springer International Publishing : Imprint : Springer در سال 2016. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

"This 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 "κ-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."--Publisher's description La 4e de couverture indique : "This 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 ..." Annotation This volume 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 Front Matter....Pages i-xvi Introduction....Pages 1-9 The Parametric Approach to Income and Wealth Distributional Analysis....Pages 11-15 The \(\kappa \) -Generalized Distribution....Pages 17-52 The \(\kappa \) -Generalized Mixture Model for the Size Distribution of Wealth....Pages 53-74 Four-Parameter Extensions of the \(\kappa \) -Generalized Distribution....Pages 75-84 Conclusions....Pages 85-92 Back Matter....Pages 93-177
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