2016
DOI: 10.1016/j.physa.2016.01.081
|View full text |Cite
|
Sign up to set email alerts
|

Inequality measures in kinetic exchange models of wealth distributions

Abstract: In this paper, we study the inequality indices for some models of wealth exchange. We calculated Gini index and newly introduced k-index and compare the results with reported empirical data available for different countries. We have found lower and upper bounds for the indices and discuss the efficiencies of the models. Some exact analytical calculations are given for a few cases. We also exactly compute the quantities for Gamma and double Gamma distributions.

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
31
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
5
2
1

Relationship

2
6

Authors

Journals

citations
Cited by 24 publications
(32 citation statements)
references
References 26 publications
1
31
0
Order By: Relevance
“…The case of a saving propensity that takes only two different values is of independent interest. As observed by Gupta in [13] and studied in [60], this case could lead to a steady distribution with a bimodal shape, as observed in the wealth distribution as a consequence of the economic crisis in Argentina around the year 2002 [61,62]. Furthermore, bimodal distributions can appear in the presence of a stressful situation, like for example the one determined by the rapid spreading of the COVID-19 epidemic in Western countries and the consequent lockdown measures assumed by the governments to control and limit its effects [63,64].…”
Section: Introductionmentioning
confidence: 60%
“…The case of a saving propensity that takes only two different values is of independent interest. As observed by Gupta in [13] and studied in [60], this case could lead to a steady distribution with a bimodal shape, as observed in the wealth distribution as a consequence of the economic crisis in Argentina around the year 2002 [61,62]. Furthermore, bimodal distributions can appear in the presence of a stressful situation, like for example the one determined by the rapid spreading of the COVID-19 epidemic in Western countries and the consequent lockdown measures assumed by the governments to control and limit its effects [63,64].…”
Section: Introductionmentioning
confidence: 60%
“…It would be interesting to find an interpretation similar to that given here to the economic temperature, but for entropy or free energies. It would also be interesting to study some other economic processes with this formalism, such as economic inequality, which can be characterized by some indices such as the Gini or Kolkata [19,20] to be addressed elsewhere.…”
Section: Resultsmentioning
confidence: 99%
“…It would be interesting to study some economic processes defined with these generalized rules within the ensemble formalism to determine how their corresponding analogous thermodynamic variables change and eventually compare them with real economic systems. For instance, relate them to indices that characterize inequality such as the Gini or Kolkata [9][10][11]. In future works, this kind of relations will be addressed.…”
Section: Discussionmentioning
confidence: 99%
“…Through exchange models, some economic inequality indices have been explained and calculated from microscopic principles [9][10][11]. When studying the distribution of income and wealth with these models, different trends have been verified, such as the formation of classes [12,13].…”
Section: Introductionmentioning
confidence: 99%