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Arnab Chatterjee

Researcher at Tata Consultancy Services

Publications -  165
Citations -  5916

Arnab Chatterjee is an academic researcher from Tata Consultancy Services. The author has contributed to research in topics: Population & Kinetic exchange models of markets. The author has an hindex of 34, co-authored 142 publications receiving 5149 citations. Previous affiliations of Arnab Chatterjee include Saha Institute of Nuclear Physics & Aalto University.

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Book ChapterDOI

Socio-economic inequalities: a statistical physics perspective

TL;DR: Socioeconomic inequalities are manifested in different strata of our daily life as discussed by the authors, and major attempts to analyze the results, address the causes, and understand the origins using statistical tools and statistical physics concepts are discussed.
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Measuring social inequality with quantitative methodology: Analytical estimates and empirical data analysis by Gini and k indices

TL;DR: In this article, the authors compute non-entropic measures of inequality such as Lorenz curve, Gini index and the recently introduced k index analytically from known distribution functions.
Book ChapterDOI

Ideal Gas-Like Distributions in Economics: Effects of Saving Propensity

TL;DR: In this article, the authors considered the ideal gas model of trading markets, where each agent is identified with a gas molecule and each trading an as alastic or money-conserving (two-body) collision.
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Kinetic market models with single commodity having price fluctuations

TL;DR: In this article, the behavior of an ideal gas-like model of markets having only one non-consumable commodity is studied, and the authors investigate the behavior behavior of the steady-state distributions of money, commodity and total wealth, as the dynamics of trading or exchange of money and commodity proceeds with local fluctuations in the price of the commodity.
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Continuous transition of social efficiencies in the stochastic-strategy minority game.

TL;DR: It is shown that in a variant of the minority game problem, the agents can reach a state of maximum social efficiency, where the fluctuation between the two choices is minimum, by following a simple stochastic strategy.