Economic Research and Perspectives

Economic Research and Perspectives

Modeling the Effects of Economic, Social, and Political Factors on Inflation in the Iranian Economy

Document Type : Original Research

Authors
1 PhD Candidate, Field or Department: Economics, Faculty of: Management and Economics, University: Science and Research Branch, Islamic Azad University, City: Tehran, Country: Iran
2 Academic rank: Associate Professor, Field or Department: Economics, Faculty of: Economics, University: Tarbiat Modares University, City: Tehran, Country: Iran
3 Academic rank: Assistant Professor, Field or Department: Economics, Faculty of: Economics, University: Tehran Central Branch, Islamic Azad University, City: Tehran, Country: Iran
Abstract
Abstract
from relatively high estimation errors. Consequently, in recent years, research based on Bayesian approaches has expanded considerably. The objective of this study is to model inflation in the Iranian economy under the influence of political, social, and economic variables using advanced econometric methods and to identify the best-performing model. The study period covers the years 2001–2023.
In this research, inflation modeling is conducted by incorporating 43 variables affecting inflation across four categories of models: Time-Varying Parameter Dynamic Model Averaging (TVP-DMA), Time-Varying Parameter Dynamic Model Selection (TVP-DMS), Bayesian Model Averaging (BMA), and Weighted-Average Least Squares (WALS). The aim is to determine the most appropriate model for explaining inflation among these alternatives. Among the examined models, the WALS model is identified as the most efficient.
.Based on the results, 11 variables with the highest impact on inflation are identified, among which the unofficial exchange rate emerges as the most influential factor. Furthermore, the findings indicate that, in explaining inflation in the Iranian economy, economic factors have the greatest explanatory power, followed by political factors and then social factors
Purpose/Aims:
The complex and dynamic nature of inflation has made it a variable influenced by multiple factors. In the economic literature, economic, social, and political factors are recognized as three main categories that affect the behavior of firms and consumers and ultimately shape the inflation rate through macroeconomic instability, heightened uncertainty, and changing expectations. Among these, developing and emerging countries—particularly economies such as Iran—are more exposed to such effects due to fragile institutional structures and vulnerability to non-economic shocks.
In recent decades, Iran has experienced significant political and economic developments, including widespread international sanctions, managerial changes at macroeconomic levels, social crises, and domestic unrest, all of which have imposed multiple shocks on the economy. Accordingly, understanding and analyzing the effects of political, social, and economic factors on inflation in Iran is of particular importance, not only for improving comprehension of the country’s inflationary dynamics but also for designing and implementing effective and sustainable economic policies. Therefore, the purpose of this study is to model inflation in the Iranian economy under the influence of political, social, and economic variables using modern econometric methods and to identify the most appropriate model.
Methodology & Framework:
This research is applied in nature. Data are collected from the statistical databases of the Central Bank of Iran and the Statistics Center of Iran using documentary methods. The study period spans from 1380 to 1402. After data extraction, the values of the variables are calculated and processed using Microsoft Excel, while MATLAB and R software are employed for statistical analysis and result estimation.
The analysis is conducted using Bayesian econometric techniques by introducing 43 variables affecting inflation, grounded in theoretical foundations, within the frameworks of TVP-DMA, TVP-DMS, BMA, and WALS. The objective is to identify the most suitable model for explaining inflation among these alternatives.
Findings:
Among the aforementioned models, the WALS model is identified as the most efficient. Based on the results, 11 variables with the highest impact on inflation are determined. These variables include the unofficial exchange rate, sanctions, liquidity, output gap, net debt of banks to the central bank, budget deficit, oil revenues, interest rate, current government expenditures, human capital index, and corruption. Among these factors, the unofficial exchange rate is identified as the most significant determinant of inflation. The results further indicate that economic factors account for the largest share in explaining inflation, followed by political factors and, subsequently, social factors.
Discussion:
The findings of this study indicate that one of the most important determinants of inflation in Iran is the exchange rate. Statistical evidence from 2018 onward strongly confirms this relationship. Given the heavy dependence of domestic production on imported raw materials and intermediate goods, exchange rate shocks are rapidly transmitted to producer prices. Consequently, increases in the exchange rate lead to higher producer price inflation.
The estimated coefficient for sanctions suggests that weak political and diplomatic relations at the global level, combined with the limited capacity of domestic production to respond to demand, have imposed dual pressure on inflation. This finding highlights the structural vulnerability of the Iranian economy to external shocks. Liquidity growth is identified as the third key determinant of inflation. Excessive liquidity growth, when not accompanied by corresponding real output growth, intensifies inflationary pressures. Similarly, the positive effect of oil revenues on inflation indicates that inflows of oil income, in the absence of sufficient productive capacity to absorb them, are inherently inflationary.
The positive relationship between the output gap and inflation implies an inverse relationship between economic growth and inflation. Empirical evidence from Iran confirms that periods of higher economic growth are associated with lower inflation, whereas economic stagnation coincides with rising inflation. This finding is closely aligned with economic theory. The study also identifies a positive effect of the budget deficit on inflation. In Iran, budget deficits are frequently financed through borrowing from the banking system or monetary expansion, both of which increase liquidity and contribute to inflation through multiple channels.
Another important result is the positive effect of interest rates on inflation. Although increases in interest rates are typically employed to curb inflation by encouraging savings and reducing liquidity, evidence from recent years indicates that inflation has intensified alongside rising interest rates. This apparent paradox can be explained by the prevalence of negative real interest rates in Iran, which limits their effectiveness in attracting deposits and controlling liquidity.
Finally, the results demonstrate that corruption has a positive effect on inflation. Corruption undermines the effectiveness of monetary policy, increases production costs, distorts price mechanisms, and encourages rent-seeking behavior. In contrast, human capital exhibits a negative relationship with inflation. A decline in human capital reduces efficiency, increases social and production costs, weakens governance quality, and indirectly fosters corruption, all of which contribute to higher inflation.
Conclusion & Implications:
Overall, the findings suggest that inflation in Iran is a multidimensional phenomenon driven by structural, monetary, fiscal, and institutional factors. Exchange rate instability, international sanctions, excessive liquidity growth, dependence on oil revenues, persistent budget deficits, ineffective interest rate policies, corruption, and weak human capital all play significant roles in fueling inflation.
From a policy perspective, controlling inflation requires more than short-term monetary tightening. Stabilizing the exchange rate, reducing dependence on imported inputs, reforming fiscal discipline to limit budget deficits, and avoiding inflationary financing methods are essential. Moreover, oil revenues should be managed in a way that enhances productive capacity rather than expanding liquidity. The results also underscore the importance of supply-side policies aimed at promoting economic growth, improving productivity, and expanding domestic production capacity. Strengthening human capital, reducing corruption, and improving institutional quality can lower costs, enhance policy effectiveness, and contribute to long-term price stability.
In sum, sustainable inflation control in Iran necessitates coordinated macroeconomic, structural, and institutional reforms rather than isolated policy interventions.
Keywords
Subjects

Reference
Asayesh, H., Mostafapour, Y., & Shamsollahi, R. (2023). Investigating the impact of various factors on inflation in Iran with an emphasis on the Covid-19 pandemic. Economic Policies and Research, 2(1), 95-121
https://doi.org/10.22034/jepr.2023.62838 [In Persian]
Asadzadeh, A., Mohammadzadeh, P., Akbari, A., & Atapour, S. (2014). The effect of human capital on total factor productivity in Iran. Productivity Management, 30, 7-23. [in Persian]
Asgharpur, H., Hatamrad, S., mousavipour, Z., Heydari, M., & Haghighat, J. (2024). Estimating the role of the exchange rate channel in influencing the volume of foreign trade on Iran's economic growth and inflation. QJER, 24(1), 4. [in Persian]
Izadkhasti, H., Negintagi, Z., & Najafi, M. M. (2022). Investigating the factors affecting on inflation with emphasis on knowledge-based economy in oil exporting countries. Stable Economy Journal, 3(3), 50-71.
doi: 10.22111/SEDJ.2022.43997.1260 [in Persian]
Tamizi, A. (2018).  Investigating determinants of tax revenues in Iran: A Bayesian Econometric Approach. Journal of Quantitative Economics , 15(1), 225-244 . [in Persian]
Hosseini Nasab, E., & Rezagholizadeh, M. (2010). Investigating the financial roots of inflation in Iran (With emphasis on budget deficit). Economic Research (Sustainable Growth and Development), 10(1), 43-70. [in Persian]
Heydari, H., Asghari, R., & Alinejad, R. (2016). Investigating the effect of administrative corruption on inflation rates in selected countries of the MENA region. Macroeconomics, 21, 81-104. [in Persian]
Khajeh Mohammadloo, A., & Khodavisi, H. (2017). Investigating the Relationship Between Interest Rate and the Exchange Rate in the Economy of Iran Using Ultra-Innovative Algorithms. Monetary & Financial Economics, 26(18), 73-94.
doi:10.22084/aes.2017.12941.2397 [in Persian]
Danesh, H., Arman, A., Anvari, E., & Mansouri, A. (2013). Investigating the relationship between macroeconomic variables and inflation rate in Iran: Application of wavelet coherence method, wavelet MODWT and Granger causality. Iranian Applied Economic Studies, 49, 40-9
doi:10.22084/aes.2022.26524.3481 [in Persian]
Shakeri, A., & Bagherpour, E. (2023). Investigating the nature of inflation in the Iranian economy: A wavelet coherence approach. Iranian Economic Research, 28(94), 47-79. [in Persian]
Sabouri Deylami, M. H., Bashiri, S., & Valibeigi, H. (2021). Comovement of exchange rate and price indicators in Iran: An Application of Economic Physics in the Study of Mutual Relationships. The Journal of Economic Studies and Policies, 8(2), 88-113.
doi: 10.22096/esp.2022.129435.1362 [in Persian]
Taheri Bazkhaneh, S. (2023). Analysis of the impact of liquidity and exchange rate on inflation in the time-frequency domain. Economic Policy, 15(29), 111-148.
doi:10.22034/epj.2023.19642.2399 [in Persian]
Alizadeh, S. G., Eshani Ashari Amiri, A., Pourghorban, M. R., Ehsan Far, & M. H. (2024). The effect of liquidity volume on inflation in Iran with a time-varying parameter model approach. Quantitative Economics, 20(4), 87-110
doi:10.22055/jqe.2021.35882.2297 [in Persian].
Farokhi Balajadeh, H., Khochiani, R., & Hamid Asayesh. (2011). Explaining the comovement of monetary base, liquidity and inflation in the Iranian economy, by comparing the performance of discrete and continuous wavelet analysis. The Journal of Economic Studies and Policies, 8(2), 278-299.
doi: 10.22096/esp.2022.136317.1412 [in Persian]
Qavam Masoudi, Z., & Tashkini, A. (2005). Nature of the Inflation in Iranian Economy: Wavelet Coherence Approach. Iranian Journal of Economic Research28(94), 47-79.
doi: 10.22054/ijer.2022.63350.1036 [in Persian]
Mehrabi Boshrabadi, H., Sherafatmand, H., & Baghestny, A. A. (2011). Study on the Impacts of Exchange Rate Shocks and Gap of GDP on Inflation in Iran. Monetary & Financial Economics17(33), 294-3313.
doi: 10.22067/pm.v17i33.27320 [in Persian]
Mehrara, M., Tayebnia, A., & Dehnavi, J. (2012). Determinants of Inflation in Iran Based on STR Approach. Journal of Economic Research (Tahghighat- E- Eghtesadi), 47(4), 221-242.
doi: 10.22059/jte.2013.30201 [in Persian]
Nemati, M. , Naziri, M. K. N., & Shahabadi, A. (2018). The Role of Macroeconomic Variables in the Occurrence of Stagflation in Iran's Economy. The Journal of Economic Policy10(20), 35-70.
doi: 10.29252/epj.2018.1268 [in Persian]
Valian, H., Abdoli, M. R., & Kabousi, M. (2013). Investigating the relationship between interest rates and exchange rates based on the theory of the international Fisher effect in the Iranian economy. Financial Economics, 7(22), 91-114. [in Persian]
Adaramola, A. O., & Dada, O. (2020). Impact of inflation on economic growth: Evidence from Nigeria. Investment management and financial innovations, 17(2), 1-13.
https://doi.org/10.21511/imfi.17(2).2020.01
Ahmed, R., Aizenman, J., & Jinjarak, Y. (2021). Inflation and exchange rate targeting challenges under fiscal dominance. Journal of Macroeconomics, 67, 103281.
https://doi.org/10.1016/j.jmacro.2020.103281
Alves, W.L., & Ferreira, R.T. (2023). Phillips curve and the exchange rate pass-through: a time–frequency approach. Empir Econ, 64, 2165–2181
https://doi.org/10.1007/s00181-022-02317-2
Auerbach, A. J., & Gorodnichenko, Y. (2013). Fiscal stimulus and the labor market: The effects of the economic stimulus program on employment and labor force participation. American Economic Review, 103(3), 258-263.
Bashir, F., Nawaz, S., Yasin, K., Khorsheed, U., Khane, J., & Qureshi, M. (2011). Determinants of inflation in Pakistan: An econometric analysis using johansen co-integration approach. Ausalian Journal of Business and Management Reasearch, 1(5), 43-57.
doi 10.20547/jfer1601105
Benigno, G., Di Giovanni, J., Groen, J., & Noble, A. I. (2022). The GSCPI: A new barometer of global supply chain pressures. Federal Reserve Bank of New York Staff Paper, 1017.
Blanchard, O., Dell'Ariccia, G., & Mauro, P. (2015). Rethinking macroeconomic policy. Journal of Monetary Economics, 68, 1-14.
Danilov, D., & Magnus, J. R. (2004). On the harm that ignoring pretesting can cause. Journal of Econometrics, 122(1), 27-46
https://doi.org/10.1016/j.jeconom.2003.10.018
De Alwis, T., Dewasiri, N. J., & Sood, K. (2023). Persistent fiscal deficit as a determinant of inflation in Sri Lanka: An ARDL approach. In Digital Transformation, Strategic Resilience, Cyber Security and Risk Management (pp. 27-51). Emerald Publishing Limited.
De Luca, G., & Magnus, J. R. (2011). Bayesian model averaging and weighted average least squares: Equivariance, stability, and numerical issues. CentER Discussion Paper Series, 11(4), 518-544
https://doi.org/10.1177/1536867X1201100402
Díaz, E. M., Cuñado, J., & de Gracia, F. P. (2023). Commodity prices and U.S. international trade. Finance Research Letters, 58, 104495.
Díaz, E. M., Cuñado, J., & de Gracia, F. P. (2024). Global drivers of inflation: The role of supply chain disruptions and commodity price shocks. Economic Modelling, 140, 106860
https://doi.org/10.1016/j.econmod.2024.106860
Erkişi, K. (2019). Budget deficits, money supply and inflation: The case of fragile five countries. EuroAsia Journal of Social Sciences and Humanities, 6(9), 49-60.
Euro Area Inflation Persistence Network. (2015). Micro price data and inflation dynamics: A review of empirical evidence. European Central Bank.
Fulton, C., & Hubrich, K. (2021). Forecasting US inflation in real-time. Econometrics, 9(4), 36.
https://doi.org/10.3390/econometrics9040036
Gagnon, J. E., Loisel, O., & Vigneron, A. (2016). The role of price rigidity and adjustment costs in inflation dynamics. Journal of Economic Literature, 54(2), 311-351.
https://doi.org/10.1016/j.jmoneco.2024.103559
Ghosh, S., & Neanidis, K. C. (2010). Corruption in public finances and the effects on inflation, taxation and growth, center for growth and business cycle research. Discussin Paper, 140, 1-133
Ha, J., Kose, M. A., Ohnsorge, F., & Yilmazkuday, H. (2024). What explains global inflation. IMF Economic Review, 73, 522–555
https://doi.org/10.1057/s41308-024-00255-w
Huang, H., & Wei, S.J. (2001). Monetary policies for developing countries: The Role of corruption. IMF Working Paper. NBER Working Papers 10093, National Bureau of Economic Research, Inc.
Iqbal, M. A., Nadim, N., & Akbar, Z. (2022). Determinants of recent inflation in Pakistan and its relation with economic growth: An econometric analysis. Pakistan Journal of Humanities and Social Sciences, 10(1), 345-353.
https://doi.org/10.52131/pjhss.2022.1001.0202
Imimole, B., & Enoma, A. (2011).  Exchange rate depreciation and inflation in Njeria (1986-2008). Busines and Economics Journal, 28, 1-11.
https://doi.org/10.4172/2151-6219.1000028
Jeffreys, H. (1961). Theory of Probability (3rd. ed.). Oxford University Press.
Kandil, M., & Ida, A. M. (2021). Macroeconomic policies and the Iranian economy in the era of sanctions. Middle East Development Journal, 13(1), 78-98.
doi: 10.1080/17938120.2021.1898190
Khandan, A., & Hosseini, S.M. (2016). Dterminants of Inflation: A case study of Iran. Applied Economics and Finance, 3(4), 95-102.
Kilian, L., & Zhou, X. (2022). The impact of rising oil prices on U.S. inflation and inflation expectations in 2020. Energy Economics, 113, 106228. https://doi.org/10.1016/j.eneco.2022.106228
Kinlaw, W., Kritzman, M., Metcalfe, M., & Turkington, D. (2023). The determinants of inflation. Journal of Investment Management, 21(3), 29-41. https://dx.doi.org/10.2139/ssrn.4137861
Kokores, I. T. (2023). Looking to the future: Monetary policy in uncharted waters. In Monetary Policy in Interdependent Economies: The Task Ahead (pp. 217-250). Springer.
doi: 10.1007/978-3-031-41958-4_9
Koop, G. (2003). Bayesian Econometrics. John Wiley & Sons Ltd.
Koop, G., McIntyre, S., Mitchell, J., & Poon, A. (2020). Regional output growth in the United Kingdom: More timely and higher frequency estimates from 1970. Journal of Applied Econometrics, 35(2), 176-197
https://doi.org/10.1002/jae.2748
Leamer, E. E. (1978). Specification Searches. Wiley.
Li, J., & Jiang, Y. (2022). Recent advances of dynamic model averaging theory and its application in econometrics. Journal of Financial Risk Management, 11(4), 740-756.
doi: 10.4236/jfrm.2022.114036
Magnus, J. R., & Durbin, J. (1999). Estimation of regression coefficients of interest when other regression coefficients are of no interest. Econometrica, 67(3), 639-643.
https://doi.org/10.1111/1468-0262.00040
Mankiw, N. G., & Reis, R. (2002). Sticky information versus sticky prices: A proposal to replace the New Keynesian Phillips curve. Quarterly Journal of Economics, 117(4), 1295-1328
https://doi.org/10.1162/003355302320935034
Ndoricimpa, A. (2017). Threshold effects of inflation on economic growth: Is Africa different?. International Economic Journal, 31(4), 599-620
https://doi.org/10.1080/10168737.2017.1380679
Raftery, A. E., & Zheng, Y. (1999). Long-run performance of Bayesian model averaging. Journal of the American Statistical Association, 98(464), 931-938.
Ridwan, M. (2022). Determinants of inflation: Monetary and macroeconomic perspectives. KINERJA: Jurnal Manajemen Organisasi dan Industri, 1(1), 1-10.
Rodrik, D. (1999) Where did all growth go; External shocks, social conflicts and growth collapses. Journal of Economic Growth, 4(4), 385-412.
Stylianou, T., Nasir, R., & Waqas, M. (2024). The relationship between money supply and inflation in Pakistan. Plos One, 19(3), e0301257
https://doi.org/10.1371/journal.pone.0301257
Taslima, N., Sayem, M. A., Sidhu, G. S., & Chowdhury, F. (2024). Mitigating inflation: A comprehensive analysis of policy measures and their impacts on the US economy. Frontline Marketing, Management and Economics Journal, 4(7), 17-38.
https://doi.org/10.37547/marketing-fmmej-04-07-03
Tuğral, A., & Bilgin, B. (2021). Asymmetric effects of exchange rate on inflation in Turkey: What aggregated and disaggregated data reveal. Erciyes Akademik Bakış, 35(3), 1095-1115.
https://doi.org/10.48070/erciyesakademi.973738
Tymoigne, E. (2021). Seven replies to the critiques of modern money theory. Levy Economics Institute, Working Papers Series.
Vindelyn, A., & Hillman, H. (2007) Competition Policy, inflation and corruption: Evidence from African economies. Applied Economices Letters, Teylor and Francis Journals, 14(9), 653-656.
doi: 10.1080/13504850500461415
Weiping, L. (2024). A walk-through and analysis of US monetary policy. In American Monetary Policy Adjustment and its Impacts (pp. 49-79). Springer. doi: 10.1007/978-981-99-7810-6_3
Zeb, A., Shuhai, N., & Ullah, O. (2024). Inflationary dynamics under fiscal and monetary asymmetries: A nonlinear investigation in Pakistan. SN Business & Economics, 4(12), 1-30.