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Estimating the Income Distribution of Some Muslim Countries Based on Entropy Measures تقدير توزيع الدخل لبعض الدول الإسلامية بناء على مقاييس عشوائية

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  • Omar Abdul Rahman Kittaneh

    (Assistant Professor Natural Sciences, Mathematics, and Technology Unit, Effat University, Jeddah, Saudi Arabia)

Abstract

Having biased and unjustified income distribution in a country can have many unpleasant consequences such as, poor health, frustration and dissatisfaction, increase in social problems and criminal activities, unreliable education systems, etc. Therefore, determining the income distribution of a country is of great importance and benefit for social safety and economic growth. Using real data for the year 2016 for three Muslim countries, Saudi Arabia (KSA), United Arab Emirates (UAE) and Egypt, this paper utilizes the so-called entropy measures in the problem of estimating the income probability distribution, using the least available information or incomplete information such as the average and range of income. The paper also provides rough estimates of the Coefficient of Variation (CV) and Gini Index for each country. هناك نتائج وتبعات سيئة لتوزيع الدخل غير العادل وغير المبرر في أي دولة منها: تدني مستوى الصحة، والإحباط النفسي، وعدم الرضى، وتفاقم المشكلات الاجتماعية وزيادة معدلات الجريمة، علاوة على فقدان الثقة في نظم التعليم ومخرجاته، من هنا تكمن أهمية عدالة توزيع الدخل وانعكاسها على صحة المجتمع ونموه الاقتصادي. يستخدم البحث بيانات حقيقية لتوزيع الدخل وقياسه في عام 2016م في ثلاث دول إسلامية هي المملكة العربية السعودية والإمارات العربية المتحدة وجمهورية مصر العربية. ويستخدم البحث مقاييس عشوائية لتقدير توزيع الدخل، بناء على الحد الأدنى المتوافر من المعلومات، أو معلومات غير كاملة مثل متوسط ونطاق الدخل. كما تقدم البحث تقديرات تقريبية لمعامل التغير (CV) ومؤشر Gini لكل دولة من تلك الدول.

Suggested Citation

  • Omar Abdul Rahman Kittaneh, 2019. "Estimating the Income Distribution of Some Muslim Countries Based on Entropy Measures تقدير توزيع الدخل لبعض الدول الإسلامية بناء على مقاييس عشوائية," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 32(1), pages 159-169, January.
    • Handle: RePEc:abd:kauiea:v:32:y:2019:i:1:no:12:p:159-169
    DOI: 10.4197/Islec.32-1.12
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    References listed on IDEAS

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    1. Omar A. Kittaneh & Mohammad A. U. Khan & Muhammed Akbar & Husam A. Bayoud, 2016. "Average Entropy: A New Uncertainty Measure with Application to Image Segmentation," The American Statistician, Taylor & Francis Journals, vol. 70(1), pages 18-24, February.
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    More about this item

    Keywords

    Income distribution; Income inequality metrics; Entropy; Maximum entropy principle; Coefficient of variation; Gini coefficient. توزيع الدخل، مقاييس عدم مساواة الدخل، الانتروبيا، مبدأ الانتروبيا القصوى، معامل التباين، ومؤشر Gini.;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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