Variation of Gini and Kolkata indices with saving propensity in the Kinetic Exchange model of wealth distribution: An analytical study

被引:7
|
作者
Joseph, Bijin [1 ]
Chakrabarti, Bikas K. [2 ,3 ,4 ]
机构
[1] St Xaviers Coll, Mumbai 400001, Maharashtra, India
[2] Saha Inst Nucl Phys, Kolkata 700064, India
[3] SN Bose Natl Ctr Basic Sci, Kolkata 700106, India
[4] Indian Stat Inst, Econ Res Unit, Kolkata 700108, India
关键词
Econophysics; Kinetic theory; Chakraborti-Chakrabarti model; Gamma function; Lambert W-function; Landau free energy; STATISTICAL-MECHANICS; INEQUALITY; MONEY;
D O I
10.1016/j.physa.2022.127051
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study analytically the change in the wealth (x) distribution P(x) against saving propensity lambda in a closed economy, using the Kinetic theory. We estimate the Gini (g) and Kolkata (k) indices by deriving (using P(x)) the Lorenz function L(f), giving the cumulative fraction L of wealth possessed by fraction f of the people ordered in ascending order of wealth. First, using the exact result for P(x) when lambda = 0 we derive L(f), and from there the index values g and k. We then proceed with an approximate gamma distribution form of P(x) for non-zero values of lambda. Then we derive the results for g and k at lambda = 0.25 and as lambda -> 1. We note that for lambda -> 1 the wealth distribution P(x) becomes a Dirac delta-function. Using this and assuming that form for larger values of lambda we proceed for an approximate estimate for P(x) centered around the most probable wealth (a function of lambda). We utilize this approximate form to evaluate L(f), and using this along with the known analytical expression for g, we derive an analytical expression for k(lambda). These analytical results for g and k at different lambda are compared with numerical (Monte Carlo) results from the study of the Chakraborti-Chakrabarti model. Next we derive analytically a relation between g and k. From the analytical expressions of g and k, we proceed for a thermodynamic mapping to show that the former corresponds to entropy and the latter corresponds to the inverse temperature. (C)& nbsp;2022 Elsevier B.V. All rights reserved.
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页数:9
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