Wages and capital returns in a generalized Pólya urn

  • It is a widely observed phenomenon that wealth is distributed significantly more unequally than wages. In this paper we study this phenomenon using a new extension of Pólya’s urn, modelling wealth growth through wages and capital returns. We focus in particular on the role of increasing return rates on capital, which have been identified as a main driver of inequality, and labor share, the second main parameter of our model. We fit the parameters from real-world data in Germany, so that simulation results reproduce the empirical wealth distribution and recent dynamics in Germany quite accurately, and are essentially independent from initial conditions. Our model is simple enough to allow for a detailed mathematical analysis and provides interesting predictions for future developments and on the importance of wages and capital returns for wealth aggregation. We also provide an extensive discussion of the robustness of our results and the plausibility of the main assumptions used in ourIt is a widely observed phenomenon that wealth is distributed significantly more unequally than wages. In this paper we study this phenomenon using a new extension of Pólya’s urn, modelling wealth growth through wages and capital returns. We focus in particular on the role of increasing return rates on capital, which have been identified as a main driver of inequality, and labor share, the second main parameter of our model. We fit the parameters from real-world data in Germany, so that simulation results reproduce the empirical wealth distribution and recent dynamics in Germany quite accurately, and are essentially independent from initial conditions. Our model is simple enough to allow for a detailed mathematical analysis and provides interesting predictions for future developments and on the importance of wages and capital returns for wealth aggregation. We also provide an extensive discussion of the robustness of our results and the plausibility of the main assumptions used in our model, and identify possible policy implications.show moreshow less

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Metadaten
Author:Thomas GottfriedGND, Stefan GrosskinskyORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1179262
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117926
ISSN:1860-711XOPAC
ISSN:1860-7128OPAC
Parent Title (English):Journal of Economic Interaction and Coordination
Publisher:Springer Science and Business Media LLC
Place of publication:Berlin
Type:Article
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/01/09
Volume:20
First Page:477
Last Page:518
DOI:https://doi.org/10.1007/s11403-024-00437-9
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Stochastik und ihre Anwendungen
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 1 - Keine Armut
Nachhaltigkeitsziele / Ziel 10 - Weniger Ungleichheiten
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Licence (German):License LogoCC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)