Analyzing the Distribution of Family Income in Erbil's Urban Population using Pareto Distribution and its Properties
DOI:
https://doi.org/10.25212/lfu.qzj.8.1.50Keywords:
Pareto Distribution, Pareto Properties, family Income, urban population, Erbil City.Abstract
In the real life there are many phenomena that have Pareto distribution's properties. One of the useful applications of this distribution is family income. This study aims to understand Pareto distribution, its properties, and fitting the family income to Pareto distribution. The Data were collected through a questionnaire distributed to 290 families; the sample covered just urban population in Erbil city. The data analyses of the family income done through applying EasyFit v.5.4 mainly, Statgraphics v.15, and MS Excel 2016 programs. The Pareto distribution with two parameters (α=0.646 and β=5) was discovered to be the best fit for this type of data. It is suggested that local authorities adopt the proposed distribution to reap the benefits of applying pareto distribution to future KRG plans aimed at increasing the income of Kurdish families
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Abdul-Majid, M. H., & Ibrahim, K. (2021). Composite Pareto Distributions for Modelling Household Income Distribution in Malaysia. Sains Malaysiana, 50(7), 2047-2058.
Amita Majumder, S. R. (8 August 2006). Distribution of personal income: Development of a new model and its application to U.S. income data. Journal of Applied Econometrics.
Arnold, B. C. (2015). Pareto Distributions (2nd ed.). CRC press.
atthew J. Hassett, M. S. (2006). Probability for Risk Management. ACTEX Publications.
B. B. Aghevli, F. M. (12 Mar 2012). Optimal Grouping of Income Distribution Data. Journal of the American Statistical Association.
Charpentier, A., & Flachaire, E. (2019). Pareto Models for Top Incomes. Hal, 02145024.
Forbes, C., Evans, M., Hastings, N., & Peacock, B. (2011). Statistical Distributions (4th ed.). John Wiley & Sons.
Geerolf, F. (2017). A Theory of Pareto Distributions. UCLA. Retrieved 12 7, 2017, from http://www.econ.ucla.edu/fgeerolf/geerolf-pareto-slides-EFG.pdf
Kleiber, C., & Kotz, S. (2003). Statistical size distribution in Economics and Actuarial Sciences. John Wiley & Sons.
Mark Maxwell, L. A. (2015). Probability and Statistics with Applications: A Problem Solving Text. ACTEX Publications.
Parmenter, D. (2007). Pareto’s 80/20 Rule for Corporate Accountants. John Wiley & Sons.
The Pareto Principle and Your User Experience Work. (n.d.). Retrieved 12 5, 2017, from Interaction Design Foundation: https://www.interaction-design.org/literature/article/the-pareto-principle-and-your-user-experience-work
Vonta, F., Nikulin, M., Limnios, N., & Huber-Carol, C. (2008). Statistical Models and Methods for Biomedical and Technical Systems. Birkhauser Boston, c/o Springer Science.
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