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بررسی اثر نوسانات متغیرهای کلان اقتصادی بر ضریب جینی دهک های درآمدی در ایران با رویکرد رگرسیون فازی | ||
| پژوهشنامه اقتصاد کلان Macroeconomics Research Letter | ||
| مقاله 4، دوره 17، شماره 35، آبان 1401، صفحه 105-127 اصل مقاله (649 K) | ||
| نوع مقاله: علمی | ||
| شناسه دیجیتال (DOI): 10.22080/iejm.2023.18667.1752 | ||
| نویسندگان | ||
| رضا اشرفگنجویی1؛ حسین اکبری فرد* 1؛ سید عبدالمجید جلایی اسفندآبادی2؛ ماشا.. الله ماشین چی3 | ||
| 1دانشگاه شهید باهنر کرمان | ||
| 2عضو هیئت علمی دانشکده مدیریت و اقتصاد دانشگاه شهید باهنر کرمان | ||
| 3استاد امار دانشگاه شهید باهنر کرمان | ||
| تاریخ دریافت: 14 اردیبهشت 1399، تاریخ بازنگری: 04 اردیبهشت 1400، تاریخ پذیرش: 19 خرداد 1400 | ||
| چکیده | ||
| عدم قطعیت متغیرهای کلان اقتصادی آثار جبران ناپذیری را بر پدیده های اقتصادی تحمیل می کند. یکی از این پدیده ها نابرابری در توزیع درآمد است. از این رو بررسی تاثیر عدم قطعیت متغیرهای کلان بر توزیع درامد نیازمند مدلسازی دقیق است. در این مقاله با استفاده از مدل رگرسیون فازی با ضرایب متفارن و نا متقارن در محیط برنامه متلب وگمز به بررسی عدم قطعیت متغیرهای کلان اقتصادی بر ضریب جینی دهک های درآمدی در ایران برای دوره زمانی 1397- 1374 پرداخته شده است. نتایج نشان می‌دهد که دامنه ی پهنای راست و چپ ضریب جینی تمام دهک های درآمدی به جز دهک دوم و هشتم تا سال 1390 نوسان قابل توجه ی نداشته است. افزایش نوسان دامنه ی پهنای راست دهک درآمدی دوم بیانگر افزایش نابرابری و تاثیر پذیر بودن این دهک از عدم قطعیت متغیرهای کلان است. کاهش چشمگیر دامنه نوسان پهنای راست دهک درآمدی هشتم در سال 1388 ناشی از تحولات اقتصادی و بهبود توزیع درامد است. همچنین افزایش دامنه پهنای راست و چپ ضریب جینی دهک های درآمدی به خصوص دهک بالا در سالهای بعد از 1390 بیانگر افزایش نابرابری در توزیع درامد در سال های مذکور است. | ||
| کلیدواژه‌ها | ||
| دهک های درآمدی؛ عدم قطعیت متغیرهای کلان؛ رگرسیون فازی؛ متغیرهای کلان | ||
| عنوان مقاله [English] | ||
| Investigating the Effect of Fluctuations of Macroeconomic Variables on the Gini Coefficient of Income Deciles in Iran with Fuzzy Regression Approach | ||
| نویسندگان [English] | ||
| REZA Ashraf Ganjaoee1؛ اکبری فرد Hossein1؛ Seyed Abdolmajid Jalaei Esfandabadi2؛ Masha .. Allah mashinchi3 | ||
| 1Kerman Shahid Bahonar University | ||
| 2Member of the faculty of the Faculty of Management and Economics, Shahid Bahonar University of Kerman | ||
| 3Professor of Statistics, Shahid Bahonar University of Kerman | ||
| چکیده [English] | ||
| The uncertainty of macroeconomic variables imposes irreversible effects on economic phenomena. Therefore, it is necessary to avoid the effects of uncertainty on macroeconomic variables. One of these phenomena is income inequality. Hence, investigating the effect of macro variables uncertainty on income distribution requires careful modeling. In this paper, using the fuzzy regression model with symmetric and asymmetric coefficients in MATLAB and GSM program environment, we investigate the uncertainty of macroeconomic variables on Gini coefficient of income deciles in Iran for the period 1995-2007. . The results show that the Gini coefficient of the right and left widths of all income deciles except for the second and eighth deciles did not fluctuate significantly until 2011. The increase in the fluctuation of the right-income declining amplitude of the second decile indicates the inequality and the effectiveness of this decile due to the uncertainty of the large variables. The dramatic decline in the amplitude of the 8th Right Decade Width fluctuation in 2009 is due to economic developments and improved income distribution. Also, the increase in the amplitude of the right and left Gini coefficients of income deciles, especially the upper deciles in the years after 1390, indicates an increase in inequality in the income distribution in these years. As such, this inequality is more severe in the tenth income deciles, which makes the rich richer. The most common criteria for MSE, RMSE, MAPE, MAE are used to evaluate the results, which shows the excellent performance of fuzzy coefficient regression model. | ||
| کلیدواژه‌ها [English] | ||
| Income deciles, macro variables uncertainty, fuzzy regression, macro variables | ||
| مراجع | ||
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Abu Nouri, S., Tajdin, S.,& Engineer, A. (2004). Estimating the effect of inflation on inequality in the cost distribution of Iran using a non-parametric method one (2001-2001), Economic Research, 39(2) (In Persian). Ahmadi, D. A. M., & Mehrgan. (2005). The effect of economic adjustment policies on income distribution in Iran, Economic Research, 70(34), 209-232 (In Persian). Antonakakis, N., & Gupta, R. (2017). Is economic policy uncertainty related to suicide rates? Evidence from the United States. Social Indicators Research, 133(2), 543-560. Asai, H. T. S. U. K., Tanaka, S., & Uegima, K. (1982). Linear regression analysis with fuzzy model. IEEE Trans. Systems Man Cybern, 12, 903-907. Ashraf Ganjoei, R., Akbarifard, H., Mashinchi, M., & Jalaee Esfandabadi, S. A. M. (2021). Applying of Fuzzy Nonlinear Regression to Investigate the Effect of Information and Communication Technology (ICT) on Income Distribution. Mathematical Problems in Engineering, 2021, 1-11 (In Persian). Berisha, E., Gupta, R., & Meszaros, J. (2020). The impact of macroeconomic factors on income inequality: Evidence from the BRICS. Economic Modelling, 91, 559-567. Dabalen, A., Gaddis, I., & Nguyen, N. T. V. (2020). CPI bias and its implications for poverty reduction in Africa. The Journal of Economic Inequality, 18, 13-44. Dahmardh,N.,Safdari, M., & Shahyki,T.(2011) The effect of macro indicators on income distribution in Iran (1975-2008), Commerce Research, 29(1),105-83 (In Persian). Daniali De Hoz, M., & Mansouri,A. (2012). Examining the performance of Tehran Stock Exchange at a weak level and prioritizing factors affecting it. Economic Journal, 12(47), 71-96 (In Persian). Ganjoei, R. A., Akbarifard, H., Mashinchi, M., & Esfandabadi, S. A. M. J. (2020). Estimation of upper and lower bounds of Gini coefficient by fuzzy data. Data in Brief, 29, 105288. Garcia, P. (1999). Income inequality and the real exchange rate (Vol. 54). Banco Central de Chile. Gurley, J. G., & Shaw, E. S. (1967). Financial structure and economic development. Economic development and cultural change, 15(3), 257-268. Kazeruni, A., Hossein, T., & Sirvan,T,. (2020). The effect of slow economic growth on income distribution inequality: with emphasis on the Thomas Piketty hypothesis. Research on Sustainable Growth and Development (Economic Research), 20 (1), 50-23. (In Persian). Laidler, D., & Parkin, M. (1975). Inflation: A Survey. The Economic Journal, 85(340), 741-809. Law, C. H., & Soon, S. V. (2020). The impact of inflation on income inequality: the role of institutional quality. Applied Economics Letters, 27(21), 1735-1738. Nazari, R., & Mazaheri, L. (2011). The Relationship between Inflation and Income Distribution in Iran", Political-Economic Quarterly. 16(1). 206-221 (In Persian). Nejad Abdullah, M., Mohtashami barzadaran, GH. R, &Yaghoubi M., (1986). Revenue Distribution Indicators in Iran. Economic Journal. 10(9) .49-64 (In Persian). Nwosa, P. I. (2019). Income inequality and economic growth in Nigeria: Implication for Economic Development. Acta Universitatis Danubius. Economica, 15(1), 108-116. Raghfar, H., Babapour, M., & Yazdanpanah, M. (2016), A Study of the Relationship between Economic Growth and Poverty and Inequality in Iran during the First to Fourth Development Programs, Journal of Applied Economic Studies in Iran, No. 16, 79-59 (In Persian). Shakeri Bostan Abad, Z.,& Jalili,Z., (2020). Factors Affecting Inequality in Provincial Income Distribution in Iran: A Deficit Probit Panel Approach. Research on Sustainable Growth and Development (Economic Research), 20 (4), 205-228 (In Persian). Shakri, J., & Esfandiar, I. (2013). Non-linear effect of inflation on income inequality in Iran. Economic research sustainable growth and development, 50(13), 27-54 (In Persian). Sotomayor, O. (2019). Growth with reduction in poverty and inequality: did Brazil show the way?. The Journal of Economic Inequality, 17(4), 521-541. Tafzali, F. (1997). History of Economic Ideas, Ney Publishing (In Persian). Yang, T., & Cao, Z. (2019). Why China’s Gini Coefficient Has Been Falling?. In A New Era. Palgrave Macmillan, Singapore. Zanooz, B. (2010). Poverty and Inequality of Income in Iran. Social Welfare Quarterly. 5 (17). 165-206 (In Persian). Zarouki, Sh., Yousefi Barforoshi, A., & Mehri, Karnami. (2020). The effect of exchange rate gaps and asymmetric inflation and unemployment on income inequality in Iran. Journal of Applied Theories of Economics, 7 (1), 117-148 (In Persian). Ziegel, E. R. (2004). Statistical Size Distributions in Economics and Actuarial Sciences. Technometrics, 46(4), 499. | ||
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