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1- Professor of Economics, Faculty of Economics, University of Tehran, Tehran, Iran
2- Assistant Professor, Department of Monetary and Foreign Exchange Policy Studies, Monetary and Banking Research Institute, Central Bank of Iran, Tehran, Iran
3- Researcher, Monetary and Banking Research Institute, Central Bank of Iran, Tehran, Iran. , alitavassoli1994@gmail.com
Abstract:   (797 Views)
Government budget imbalance and liquidity growth are among the most important structural challenges facing the Iranian economy and are closely interconnected. This study investigates the asymmetric effects of the government budget balance on liquidity growth in Iran over the period 1989–2024 using the Nonlinear Autoregressive Distributed Lag (NARDL) model. This approach allows the decomposition of positive and negative changes in the budget balance, enabling an examination of the asymmetric response of liquidity growth to improvements and deteriorations in the government budget balance in both the short run and the long run. The control variables include real oil revenues, the free-market exchange rate, and economic growth. The bounds test confirms the existence of a long-run relationship among the variables. The estimation results indicate that deterioration in the government budget balance (movement toward a larger budget deficit) has a positive and statistically significant effect on liquidity growth in both the short run and the long run, whereas improvement in the government budget balance (movement toward a smaller deficit or a budget surplus) has a negative and statistically significant effect. However, the Wald test confirms the presence of asymmetric effects of the government budget balance on liquidity growth in both the short run and the long run. The findings further reveal that the impact of deterioration in the budget balance on liquidity growth is substantially stronger than the impact of improvement, as reflected by the larger absolute value of the long-run coefficient for the positive component (0.468) relative to the negative component (−0.392), suggesting considerable persistence in the fiscal adjustment process. Moreover, real oil revenues and the exchange rate exert positive effects on liquidity growth, while economic growth has a negative effect. The error correction coefficient (−0.684) indicates a relatively rapid adjustment toward the long-run equilibrium. The findings imply that controlling liquidity growth in Iran cannot be achieved solely through monetary policy instruments; rather, it requires sustainable fiscal reforms, reduced dependence on oil revenues, tighter control of current government expenditures, greater transparency in budget financing mechanisms, and stronger coordination between fiscal and monetary policies. Given the confirmed asymmetric effects, preventing the emergence of new fiscal imbalances should be prioritized, as the monetary consequences of fiscal deterioration are stronger and materialize more rapidly than the effects associated with fiscal improvement.
 
     
Type of Study: Research | Subject: Macroeconomics
Received: Jun 29 2026 | Accepted: Aug 22 2026

References
1. Adewale, A. A. (2025). Effects of budget deficit and money supply on inflation in Nigeria (1991-2023): ARDL evidence. Business Excellence and Management, 15(3), 21-39. [DOI:10.24818/beman/2025.15.3-02]
2. • Alti, A., Kume, F., & Özkan, N. (2014). Oil revenues and macroeconomic fluctuations in oil-exporting economies. Energy Economics, 44, 1-12.
3. • Bhusal, T. P. (2013). An econometric analysis of deficit budget, money supply and inflation in Nepal.Tribhuvan University Journal, 28(1-2), 315-324. [DOI:10.3126/tuj.v28i1-2.26261]
4. • Blanchard, O. (2021). Macroeconomics (8th ed.). Pearson.
5. • Branson, W. H., & Henderson, D. W. (1985). Monetary theory and policy. In R. W. Jones & P. B. Kenen (Eds.), Handbook of International Economics (Vol. 2, pp. 749-805). Elsevier. [DOI:10.1016/S1573-4404(85)02006-8]
6. • Cagan, P. (1956). The monetary dynamics of hyperinflation. In M. Friedman (Ed.), Studies in the quantity theory of money (pp. 25-117). University of Chicago Press.
7. • Coibion, O., Gorodnichenko, Y., & Weber, M. (2021). *Fiscal *Policy and Households' Inflation Expectations: Evidence from a Randomized Control Trial (NBER Working Paper No. 28485). National Bureau of Economic Research. [DOI:10.3386/w28485]
8. • Dornbusch, R. (1976). Expectations and exchange rate dynamics. Journal of Political Economy, 84(6), 1161-1176. [DOI:10.1086/260506]
9. • Duodu, E., Addai, E. K., & Adusah-Poku, F. (2022). Causality between budget deficit, money supply and inflation in Ghana: Evidence from VECM and Granger causality tests (1999Q1-2019Q4).
10. • Erdil Şahin, B. (2019). Analysis of the relationship between inflation, budget deficit and money supply in Turkey by ARDL approach: 1980-2017. Journal of Life Economics, 6(3), 297-306. [DOI:10.15637/jlecon.6.018]
11. • Friedman, M. (1956). The quantity theory of money: A restatement. In M. Friedman (Ed.), Studies in the Quantity Theory of Money (pp. 3-21). University of Chicago Press.
12. • Friedman, M. (1970). The counter-revolution in monetary theory.
13. • Friedman, M., & Schwartz, A. J. (1963). A Monetary History of the United States, 1867-1960. Princeton University Press.
14. • Friedman, M., & Schwartz, A. J. (1986). A monetary history of the United States, 1867-1960. Princeton University Press.
15. • Gale, W. G., & Auerbach, A. J. (۲۰۱۴). Forgotten But Not Gone: The Long-Term Fiscal Imbalance. Brookings Institution.
16. • Galí, J. (2014). Monetary policy, inflation, and the business cycle: An introduction to the New Keynesian framework (2nd ed.). Princeton University Press.
17. • Hamilton, J. D. (2011). Historical oil shocks. In Handbook of Major Events in Economic History. Elsevier. [DOI:10.3386/w16790]
18. • International Monetary Fund (IMF). (2019). Fiscal Institutions and Public Investment. Washington, DC: International Monetary Fund.
19. • Jayaraman, T. K., & Chen, H. (2014). Testing Long-Run Neutrality of Money in Fiji (No. 2014/05). School of Economics Working Paper.‌
20. • Olasupo, M., & Isenere, D. (2026). Fiscal Dominance and Monetary Policy Inertia: Evidence from Nigeria.‌ [DOI:10.2139/ssrn.6555102]
21. • Pesaran, M. H., & Shin, Y. (1995). An autoregressive distributed lag modelling approach to cointegration analysis (Vol. 9514, pp. 371-413). Cambridge, UK: Department of Applied Economics, University of Cambridge.‌ [DOI:10.1017/CBO9781139052221.011]
22. • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289-326.‌ [DOI:10.1002/jae.616]
23. • Reinhart, C. M., & Rogoff, K. (2010). This Time Is Different: Eight Centuries of Financial Folly. [DOI:10.1515/9781400831722]
24. • Sajid, G. M., & Riaz, B. (2002). Budget deficit, money supply and inflation: Testing for causality. Pakistan Journal of Applied Economics, 18(1-2), 65-84.
25. • Sargent, T. J., & Wallace, N. (1981). Some unpleasant monetarist arithmetic. Federal Reserve Bank of Minneapolis Quarterly Review, 5(3), 1-17. [DOI:10.21034/qr.531]
26. • Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in honor of Peter Schmidt: Econometric methods and applications (pp. 281-314). New York, NY: Springer New York.‌ [DOI:10.1007/978-1-4899-8008-3_9]
27. • Subedi, R., et al. (2024). Inflation and liquidity interaction in developing economies. Journal of Monetary Economics Studies, 18(2), 45-67.
28. • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of econometrics, 66(1-2), 225-250.‌ [DOI:10.1016/0304-4076(94)01616-8]
29. • Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251-270.Akhlaghi Yazdinejad, E. and Shamsoddini, M. (2023). Examining the effect of aggressive tax policies on excess liquidity, taking into account the role of environmental and economic instability (combined view. Financial Accounting Research, 14(4), 83-108. [DOI:10.1080/07350015.1992.10509904]
30. bagherpur oskouie, E., & shakeri, A. (2024). Analysis of the relationship between inflation and the government budget deficit in Iran's economy: a wavelet coherence approach. Development of humanities, 4(8), 27-44.
31. Pourjamshidi, N., Sohaili, K., & Fattahi, S. (2023). Estimating the Impact of Banks' debt to the Central Bank on the Volume of Liquidity in Iran's Economy Using the ARDL Approach. Journal of Economic Essays: an Islamic Approach, 20(40), 147-166.
32. Tashkini, A., & Shafiei, A. (2005). Monetary and fiscal variables and the test of money neutrality. Business Research Journal, 35(1), 125-152.
33. Tavassoli S. (2024). Budget Deficits, Monetary Base, and Inflation: The Case of IRAN. EPRJ. 29(3), 3-44. [DOI:10.61882/jepr.29.3.3] [DOI:10.61882/jepr.29.3.3]
34. Hajamini, M. , Falahi, M. A. , Ahmadai Shadmehri, M. T. and Naji Meidani, A. A. (2017). The Effects of Budget Deficits Structure on Liquidity in Iran's Economy: A Central Bank Reaction Function Approach. The Journal of Economic Policy, 9(17), 145-172. [DOI:10.29252/jep.9.17.145] [DOI:10.29252/jep.9.17.145]
35. Dehghani, Ali, Ehyaei, Masumeh, Safavi, Bijan. "The Relationship between Budget Deficits,
36. Inflation and Money Supply in Iran." , vol. 8, no. 14, 2017, pp. 31-41.
37. Zamanizadeh, H., & Jalali Naini, A. R. (2016). Investigating the differential effects of liquidity components on output and prices: A vector error correction approach with nonstationary exogenous variables. Journal of Monetary and Banking Research, (27), 1-27.
38. Sargolzaei, M., Takloo, A., & Mahmoudi, M. (2022). The effect of banks' claims on the government and budget deficits on the liquidity of private banks in Iran. The Fourth Annual Conference of the Iranian Finance Association, Isfahan, Iran.
39. Sadeghi Amroabadi, B., & Kazemi, E. (2022). The Effects of Good Governance and Political Cycles on the Changes of Liquidity and Budget Deficit in Iranian Economy. Iranian Journal of Economic Research, 27(90), 171-207.
40. Samsami mazrae akhoond, H., & Bakhtiyari, A. (2022). Investigating the effects of financing the public sector budget deficit from the banking system: Evidence from the dynamic stochastic general equilibrium model (DSGE). Economic Modeling Research, 13(49), 112-152.
41. Farhangdoost, S., Naseri, S. F., & Fallahi, M. A. (2015). Investigating the relationship between oil revenues, budget deficit, money supply, and inflation in Iran. The First International Conference on Applied Economics and Trade*, Tehran, Iran.
42. Komijani A, Alinejad-Mehrabani F. (2012). Evaluating the Effectiveness of Monetary Transmission Channels on Production and Inflation besides Analyzing their Relative Importance in Iran's Economy. EPRJ. 17(2), 39-63.

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