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Autor(en): 
  • Mauro Gallegati
  • Fabio Clementi
  • The Distribution of Income and Wealth: Parametric Modeling with the --Generalized Family 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2018  
    Genre:  Wirtschaft / Recht 
     
    B / Complex systems / Data-driven Science, Modeling and Theory Building / Ecological science, the Biosphere / Econometrics / Economic Sociology / Economics and Finance / Economics, finance, business & management / Econophysics / game theory / Game Theory, Economics, Social and Behav. Sciences / Management science / Organizational Studies, Economic Sociology / Philosophy of Mathematics / Probability & statistics / Quantitative Economics / Social research & statistics / Sociology# work & labour / Sociophysics / Statistics
    ISBN:  9783319801353 
    EAN-Code: 
    9783319801353 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  New Economic Windows  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  308 gr 
    Seiten:  177 
    Illustration:  XVI, 177 p. 24 illus., schwarz-weiss Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 "?-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.

      



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