نوع مقاله : مقاله پژوهشی
1 دانشجوی دکترای اقتصاد دانشگاه آزاد اسلامی یزد
2 استادیار اقتصاد دانشگاه آزاد اسلامی واحد یزد
عنوان مقاله [English]
In the present study, a nonlinear analysis of the relationship between macroeconomic variables and monetary policy with the Menu Cost and Mankiw Model in the Iranian economy using the time-regression vector variable coefficient (TVP-VAR) based on the frequency of quarterly data during the period 1368- 1397 was paid. According to the estimation results; it was found that there was a non-linear correlation between macroeconomic variables such as inflation, oil prices and GDP with the monetary policy index. The results show that the impact of oil price shocks on GDP is positive, which can be attributed to the increase in capital goods due to increased oil revenues, which has led to an increase in production in the short run. The effect of oil price shock on inflation has a negative effect on the third period due to the reaction function, which can be attributed to the increase in imports of goods due to increased oil revenues, which disappears from the third period onwards. The effect of monetary shocks on GDP can also be considered positive in a very short period of time, but as the corresponding reaction function shows, it has no effect on production in the long run. The effect of monetary shocks on inflation is also positive, so the assumption of inflation monetary relationship is not rejected.
1- Ball, L., & Mankiw, N. G. (1994). Asymmetric price adjustment and economic fluctuations. The Economic Journal, 104(423), 247-261.
2- Baum, A., & Koester, G. (2011). The impact of fiscal policy on economic activity over the business cycle-evidence from a threshold VAR analysis.
3- Baxter, M., & King, R. G. (1999). Measuring business cycles: approximate band-pass filters for economic time series. Review of economics and statistics, 81(4), 575-593.
4- Boivin, J., & Giannoni, M. P. (2006). Has monetary policy become more effective?. The Review of Economics and Statistics, 88(3), 445-462.
5- Casares, M. (2009). Wage setting actors and sticky wages: Implications for the business cycle and optimal monetary policy. Economic Modelling, 26(3), 571-585.
6- Christiano, L. J., & Fitzgerald, T. J. (2003). The band pass filter. international economic review, 44(2), 435-465.
7- Dufrénot, G., Mignon, V., & Peguin-Feissolle, A. (2004). Business cycles asymmetry and monetary policy: a further investigation using MRSTAR models. Economic Modelling, 21(1), 37-71.
8- Estrella, A., & Mishkin, F. S. (1998). Predicting US recessions: Financial variables as leading indicators. Review of Economics and Statistics, 80(1), 45-61.
9- Galí, J. (2002). New perspectives on monetary policy, inflation, and the business cycle (No. w8767). National Bureau of Economic Research.
10- Galí, J. (2008). Monetary Policy, Inflation, and the Business Cycle, Princeton University Press, Princeton. New Jersey.
11- Ghahramanzadeh, M. (2011). Monthly price forecast of one-day-old broiler chickens in East Azerbaijan province. Journal of Agricultural Economics (Economics and Agriculture), 5 (4), 183-210 (In Persian).
12- Ghalayini, L. (2018). Monetary policy and business cycle fluctuations of the Lebanese economy. Journal of Economic Structures, 7(1), 1-15.
13- Gorji, E., Ghavami, M., & Goodarzi Farahani, Y. (2014). Causes of business cycles in Iran and ways out of it. New Economic Theories, 2 (2), 99-112 (In Persian).
14- Gorji, E., & Anvari, F. (2018). The role of the Central Bank in creating business cycles in the Iranian economy. Monetary Economics Research, 25 (15), 1-32 (In Persian).
15- Kitchin, J. (1923). Cycles and trends in economic factors. The Review of economic statistics, 10-16.
16- Krishnamurthy, A., & Vissing-Jorgensen, A. (2012). The aggregate demand for treasury debt. Journal of Political Economy, 120(2), 233-267.
17- Kydland, F. E., & Prescott, E. C. (1990). Business cycles: Real facts and a monetary myth. Federal Reserve Bank of Minneapolis Quarterly Review, 14(2), 3-18.
18- Lin, T. T. T., & Weise, C. L. (2019). A new Keynesian model with robots: implications for business cycles and monetary policy. Atlantic Economic Journal, 47(1), 81-101.
19- Liu, D., Xu, N., Zhao, T., & Song, Y. (2018). Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the US. Economic Modelling, 73, 45-54.
20- Lucas, R. E. (1981). Studies in Business Cycle Theory. Oxford: Basil Blackwell.
21- Lucas, R. E., Brunner, K., & Meltzer, A. (1977). Stabilization of the domestic and international economy. In Carnegie-Rochester Conference Series on Public Policy.
22- Lucas, R. E. (1998). 'Econometric Policy Evaluation: A Critique', Carnegie-Rochester Conference Series on Public Policy, I, 19-46. INTERNATIONAL LIBRARY OF COMPARATIVE PUBLIC POLICY, 6, 273-300.
23- Mankiw, N. G. (1989). Real business cycles: A new Keynesian perspective. Journal of economic perspectives, 3(3), 79-90.
24- Millard, S. (2003). The role of asset prices in transmitting monetary and other shocks.
25- Prescott, E. C. (1986, September). Theory ahead of business-cycle measurement. In Carnegie-Rochester conference series on public policy (Vol. 25, pp. 11-44). North-Holland.
26- Sahabi, B., Asgharpour, H., & Ghorbani, S., (2017). Investigating the asymmetric effects of monetary shocks in Iranian business cycles (Approach: Stochastic dynamic equilibrium model). Economic Modeling Research Quarterly, 8 (29), 133-168 (In Persian).
27- Tahvili, A., Sahabi, B., Yavari, K., & Mehregan, N. (2019). Business cycles and financial accelerators in the Iranian economy. Journal of Quantitative Economics, 16 (1), 1-23 (In Persian).