Econophysics of Wealth Distributions

By Arnab Chatterjee, S. Yarlagadda, Bikas K. Chakrabarti. 2005

229 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c9a387b7fa78e3397a48ce3fd4cd3e3f4126d5f1

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In Economics and Econometrics

Citations in the corpus

Econophysics: Empirical facts and agent-based models (2009, unknown): “This result is supported by independent theoretical considerations based on different approaches, such as a mean field theory approach (Mohanty (2006), see below for further details) or the Boltzmann equation (Das and Yarlagadda (2003, 2005); Repetowicz et al. (2005); Chatterjee et al. (2005a)).”
Econophysics review: II. Agent-based models (2011, unknown): “In a system with uniformly distributed , the wealth distribution of each agent i with saving parameter i relaxes towards different states with characteristic shapes fi(x) (Chatterjee et al. 2005b, Patriarca et al. 2005, 2006) with different relaxation times i (Patriarca et al. 2007).”
Worrying trends in econophysics (2006, background): “This latter point undermines Markowitz portfolio theory and the capital asset pricing model, still regarded as powerful and valid theories by many economists (e.g. [7]).”
Colloquium: Statistical mechanics of money, wealth, and income (2009, background): “There are regular conferences on econophysics, such as Applications of Physics in Financial Analysis (sponsored by the European Physical Society), Nikkei Econophysics Symposium, Econophysics Colloquium, and Econophys-Kolkata (Chakrabarti, 2005; Chatterjee, Yarlagadda, and Chakrabarti, 2005).”
Mean Field Games and Applications (2011, background): “For instance, econophysicists manage to have good descriptive models for wealth distributions using only kinetic models and microscopic interactions (see [14]) but they never explain why people may want to exchange money as in their models (our last model can be seen as an attempt to model wealth di”