Document Type : Article-Based Dissertations

Authors

1 Assistant Professor, Economics Department, Faculty of Economics and Management, University of Sistan and Baluchestan, Zahedan, Iran

2 Associate Professor of Economics, Faculty of Management and Economics, Shahid Bahonar University of Kerman, Kerman, Iran.

3 Professor of Economics, Faculty of Management and Economics, Shahid Bahonar University of Kerman, Kerman, Iran

4 Professor of Statistics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman

Abstract

EXTENDED ABSTRACT
INTRODUCTION
After a significant recession and the prominent role of the government in managing the economy within the framework of Keynesian economics, one of the important issues in macroeconomics is examining the relationship between the uncertainty of macroeconomic variables and income inequality, which is a characteristic of development. The uncertainty of macroeconomic variables poses significant challenges for developing countries, especially regarding income inequality issues. Based on the literature in this area, various factors such as high inflation rates, massive external debt, significant fluctuations in real exchange rates, payment deficits, and many other variables contribute to income inequality in developing countries. It has been observed that developed countries with minimal uncertainty in macroeconomic variables have relatively low income inequality and experience stable economic growth. Considering the importance of the subject, the question addressed in this study is the extent to which uncertainty in macroeconomic variables and foreign trade affect income inequality between income deciles and with what probability they influence income inequality thresholds. Since fuzzy logic modelling is important in various aspects and due to the significance of the subject in this article, an attempt has been made to answer this question using non-linear fuzzy modelling in the form of numerical computation to calculate the upper, middle, and lower limits of income inequality between income deciles along with the degree of predictive credibility of these limits (probability of each threshold). This article is organized into five sections. Following the introduction, the second section reviews the literature on the subject. The third section discusses the research methodology, the fourth section presents the research findings, and the fifth section provides conclusions and policy recommendations.
 
METHODOLOGY
Fuzzy rule-based system in the form of Z-numbers (Z-FRBS): is a fuzzy nonlinear regression model in which fuzzy rules are used. Z-FRBS is a modeling method to investigate the uncertainty behaviors of economic variables, which is one of the main ideas and innovations of this study. The modeling cycle steps for the LSTAR model are as follows. To create a Z-FRBS model, it is first necessary to examine the non-linear behavior of the variables, hence the steps of fitting a non-linear model (ESTAR or LSTAR model) are presented.
 
FINDINGS
Based on the results of this study, inflation, which is an important indicator of the instability of macro variables, has a dual impact on income distribution in society, causing income inequality to widen. In fact, inflation is seen as a subsidy for some individuals and as a tax for others. It adversely affects individuals with fixed incomes and benefits those who own assets such as land, buildings, etc. Therefore, the government can target groups with low incomes or fixed incomes by implementing special programs for them, including transfer payments, tax reductions, and by redistributing income through progressive income and wealth taxes for individuals who possess more assets than they need.
 
CONCLUSION
The results of investigating the impact of variable uncertainty show that foreign investment leads to income inequality, especially in the ninth and tenth deciles. The reasons for this inequality, based on empirical studies, are that an increase in foreign investment, due to the possibility of utilizing more capital, increases the final production labor force, thereby increasing labor wages, which ultimately leads to a reduction in income inequality. On the other hand, the susceptibility of the domestic market to international market developments has had a significant impact on exchange rate fluctuations, inflation rates, and stock yield instability, leading to increased macroeconomic policy instability and income inequality differences between income deciles. Considering the importance of inequality among income deciles due to macroeconomic unstable variables resulting from policies, further increases in inequality among higher-income deciles compared to lower-income deciles occur over time, and compensatory policies have not been sufficient to reduce the extent of inequality. Therefore, special attention of policymakers to policy-making and its implications leads to inevitable consequences in the economy. Based on the results of this research, the issue of direct foreign investment may pose a challenge for policymakers, but given the inevitable nature of globalization, appropriate plans are necessary to address this challenge, including necessary support for labor, expanding social services, controlling foreign capital, and relying on people-oriented institutions to empower the workforce in dealing with capital, focusing on inequality foundations such as illiteracy and lack of skills, creating social opportunities for education and skill acquisition. The government's efforts to address these problems are among the most effective steps in reducing income inequality in Iran in the face of globalization. Moreover, considering that direct foreign investment and expansion of foreign trade are essential aspects of globalization and governments follow policies to promote globalization due to benefits such as technology transfer and increased productivity, it is recommended that governments, along with globalization, take actions such as creating economic and political stability, strengthening the foundations of the economy.

Keywords

Main Subjects

Abunouri, A., Khoshkar, A., & Arash. (2007). The effect of macroeconomic indicators on income distribution in Iran: an inter-provincial study. Economic Research, 77(1), 65-95. https://www.sid.ir/paper/11876/fa [ In Persian]
Akrami, & M. (2004). Considerations about bank interest rates in Iran. Journal of economic trends, 42(14), 20-46. https://www.sid.ir/paper/486106/fa [In Persian].
Aliev, R. A., Pedrycz, W., Huseynov, O. H., & Eyupoglu, S. Z. (2017). ApproximateReasoning on a Basis of Z-Number-Valued If–Then Rules. IEEE Transactions on Fuzzy Systems, 25(6), 1589-1600.
Amiri, A., Coppola, G., Scuderi, S., Wu, F., Roychowdhury, T., Liu, F., ... & Vaccarino, F. M. (2018). Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science, 362(6420), eaat6720.
 Antonakakis, N., Gupta, R., & André, C. (2015). Dynamic co-movements between economic policy uncertainty and housing market returns. Journal of Real Estate Portfolio Management, 21(1), 53-60.
Alvaredo., F, Lucas., C. (2018). World Inequality Report 2018. World Inequality Lab.Cagetti, Marco, and Mariacristina De Nardi. 2008. .Wealth Inequality: Data and Models.Macroeconomic Dynamics 12 (Supplement 2): 285.313.
Asgharpour, H., Salmani, B., & Hekmati Farid, S. (2014). The Impact of Globalization on Income Distribution in OIC Countries. quarterly journal of fiscal and Economic policies, 2(6), 123-140. Retrieved from http://qjfep.ir/article-1-62-en.html [in persian]
Ashraf Ganjavii, R., Akbari Fard, H. (2019). Linear regression with symmetric and asymmetric fuzzy coefficients. Fuzzy Systems and Applications, 2(2), 223-233. https://jfsa.fuzzy.ir/article_113422.html [In Persian].
Aye, G. C., & Harris, L. (2019). The effect of real exchange rate volatility on income distribution in South Africa (No. 2019/29). WIDER Working Paper.‏
Berisha, E., Gupta, R., & Meszaros, J. (2020). The impact of macroeconomic factors on income inequality: Evidence from the BRICS. Economic Modelling91, 559-567.
Borkowska, B. (1974). Probabilistic load flow. IEEE Transactions on Power Apparatus and Systems, (3), 752-759.
Campbell, J. Y. (2016). Restoring rational choice: The challenge of consumer financial regulation. Household Finance.
Colciago, A., Samarina, A., & de Haan, J. (2019). Central bank policies and income and wealth inequality: A survey. Journal of Economic Surveys, 33(4), 1199-1231.
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(1), 13-44
Ditta, A., & Hayat, M. A. (2017). Macroeconomic Instability and Its Role on Income Inequality in Developing Countries. Pakistan Economic and Social Review55(2), 613-636.‏
Ehsanfar, M. H., & Amoli Jelodar, Z. (2014). Relation Between Banking Profit Rate and Economic Growth via Hsiao Causality Method in Selected Islamic Countries. journal of islamic finance research2(1), 101-113. Availabe at: https://ifr.journals.pnu.ac.ir/article_3758.html?lang=en  [In Persian].
Elami Z., & Ariani, F. (2017). "Effect of financial development on income distribution in Iran. Iranian Journal of Applied Economics, 133-158. https://qjerp.ir/article-1-241-fa.pdf. https://qjerp.ir/browse.php?a_id=127&sid=1&slc_lang=fa. [In Persian]
Ezzat, A. M. (2020). Income Inequality Effects on Real Exchange Rate: Do Differentials between Tails Matter?. Economic Research Forum (ERF).
Qorbani, H., Ghaffari, H., Nori, A., & Taqvaee, E. (2017). The Effect of Macroeconomic Variables on Income Distribution in Iran (with Emphasis on Targeted Subsidies). Quarterly Journal of The Macro and Strategic Policies5(18), 143-158. Availabe at: https://www.jmsp.ir/article_47928.html?lang=en  [In Persian]
Goh, L. T., & Law, S. H. (2019). The Effect of Trade Openness on Income Inequality with the Role of Institutional Quality. Indonesian Journal of Economics, Social, and Humanities, 1(2), 65-76.‏
Golina, N. J. (2018). An examination of the stock market’s effect on economic inequality. Undergraduate economic review, 15(1), 7.‏
Hung, H., Fang, W., Miller, S. & Yeh. C., (2015), The effect of growth volatility on income inequality, Economic Modelling. 45, 212-222.
Josifidis, K., Supic, N., & Doroskov, N. (2020). Foreign Direct Investment and Income Distribution: Evidence from Post-Communist New EU Member States. Eastern European Economics, 58(6), 497-516.‏
Komijani, A., & mohammadzadeh, f. (2014). The Effect of Inflation on Income Distribution and Performance of Compensation Policies. Quarterly Journal of Economic Research and Policies, 22(69), 5-24. Retrieved from http://qjerp.ir/article-1-127-en.html [In Persian]
kazerooni, a., asgharpur, H., & tayyebi, s. (2020). The Impact of Slow Economic Growth on Inequality of Income Distribution with Emphasis on Thomas Piketty's Hypothesis. The Economic Research (Sustainable Growth and Development), 20(1), 50-23. Retrieved from http://ecor.modares.ac.ir/article-18-21565-en.html [In Persian]
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.
Luan, Z., & Zhou, Z. (2017). The relationship between annual GDP growth and income inequality: Developed and undeveloped countries. Georgia Institute of Technology, Econ3161, 1-16.
‏ Le, Q. H., Do, Q. A., Pham, H. C., & Nguyen, T. D. (2021). The impact of foreign direct investment on income inequality in Vietnam. Economies9(1), 27.
Moridi, Z., Fattahi, S., & Sohaili, K. (2020). The Effect of Stock Market`s Development on Upper and Lower Income Deciles. Financial Management Strategy8(1), 117-142. doi: 10.22051/jfm.2019.24331.1955 [In Persian]
Mansouri, S. A. (2024). Investigating the Effect of Sanctions on Casual Relationship between Corruption, Income Inequality and Poverty in Iran. Quarterly Journal of Quantitative Economics(JQE)21(1), 171-201. doi: 10.22055/jqe.2024.43224.2544 [in persian]
moradi, F., Jafari, M., & fatahi, S. (2023). The impact of good governance on income inequality in selected developing and developed countries with an emphasis on control of corruption. Quarterly Journal of Quantitative Economics (JQE)20(3), 110-135. doi: 10.22055/jqe.2021.37420.2374 [in persian]
Noferesti, M., & Mohammadi, F. (2009). Analyzing the Effects of Macroeconomic Shocks on Income Distribution in Iran. Iranian Journal of Economic Research13(38), 31-52. Available at: https://ijer.atu.ac.ir/article_3514.html?lang=en&lang=en&lang=en&lang=en [in persian]
Nwosa, P. I. (2019). Income inequality and economic growth in Nigeria: Implication for Economic Development. Acta Universitatis Danubius. Œconomica15(1), 108-116.‏
Özüdoğru, C. T. (2020). Effect of inflation differentials across income groups on inequality measures: the Turkish case (Master's thesis).‏
Saez, E., & Gabriel, Z. (2016). .Wealth Inequality in the United States Since 1913: Evidence from Capitalized Income Tax Data, Quarterly Journal of Economics, 131(2), 519.578.
Sadigh Mohammadi, M. F., Sarlak, A., Najafizadeh, S. A., & Hassanzadeh, M. (2023). Impacts of Iranian Oil Sanctions on the Welfare of Households: A Recursive Dynamic Computable General Equilibrium Approach. Quarterly Journal of Quantitative Economics (JQE)20(1), 139-194. doi: 10.22055/jqe.2021.38169.2397 [in persian]
Sotomayor, O. (2019). Growth with reduction in poverty and inequality: did Brazil show the way?. The Journal of Economic Inequality17(4), 521-541.‏
Terasvirta, T.(1994). Specification, estimation, and evaluation of smooth transition  auto regressive models. Journal of the American Statistical Association 89, 208–218
Tsay, R.S. (1989). Testing and modeling threshold autoregressive processes. Journal of the American Statistical Association, 84: 231-240.Vol. 45, May.