The Inequality Process as a wealth maximizing process

By John Angle. 2005

98 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/20b06fe06d0532f8d44fbea8baab8096fe691140

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Giuseppe Toscani
2. J. Barkley Rosser Jr.
3. A. Pulvirenti
4. G. Furioli
5. E. Terraneo
6. Victor M. Yakovenko
7. Anand Banerjee
8. Daniel Matthes

In Statistical and Nonlinear Physics

1. Giuseppe Toscani
2. A. Pulvirenti
3. G. Furioli
4. E. Terraneo
5. J. Barkley Rosser Jr.
6. Victor M. Yakovenko
7. José Antonio Carrillo
8. Anand Banerjee

Citations in the corpus

• Colloquium: Statistical mechanics of money, wealth, and income (2009, methodology): “…picture of the two-class 14 See, for example, Anglin (2005); Ball (2006); Carbone et al. (2007); Gallegati, Keen, Lux, and Ormerod (2006); Keen (2008); Lux (2005, 2009); McCauley (2006); Richmond, Chakrabarti, Chatterjee, and Angle (2006); Rosser (2006, 2008b); Stauffer (2004); Yakovenko (2009).”
• Fokker–Planck equations in the modeling of socio-economic phenomena (2017, background): “Starting from the original idea developed by Angle,[3, 4] a variety of both discrete and continuous models for wealth distribution has been proposed and studied in view of the relation between parameters in the microscopic rules and the resulting macroscopic statistics.”
• Econophysics: Empirical facts and agent-based models (2009, unknown): “Note also, as mentioned above, the OPIP model of Angle (2006, 2002), for example, depending on the model parameters, can also produce a power law tail.”