The Asymmetric Effects of Monetary Policy Shocks on the Residential Market of Iran:A DSGE Approach

Document Type : Research Paper

Authors

1 Ph.D Economics, University of Tabriz

2 Professor of Economics, University of Tabriz

3 Professor in Economics, University of Tabriz

Abstract

The aim of this study is analyzing the asymmetric effects of monetary policy shocks on the residential market of Iran. In so doing, a Dynamic Stochastic General Equilibrium (DSGE), based on the residential sector of Iran is designed. Moreover, the data used are quarterly in period 1989-2016 and Bayesian method is employed in order to estimate Iran’s economy. The asymmetries of monetary policy shocks are indicated in the following three conditions: The positive and negative effects of monetary policy shocks, the effects of the size of shocks and the effects of monetary policy shocks in depression & inflation. By implementing a positive shock (single- unit) on the model, housing volume (h) has decreased about 45% and the relative rental price (q) has increased approximately about 13%. By increasing the relative rental price, the real income of the housing sector’s agents has augmented. By exerting a negative shock (single- unit) housing volume has been amplified 9%.  By increasing the housing construction, the relative rental price has been augmented about 1%.  But the generated net value in the residential sector showed no change at first. The results indicate by implementing a positive shock, the net value in housing sector rose by around 12%.  One the other hand, The feedback of the models’ variables vary while the size of shocks has changed, or by exerting the same monetary policy once in depression and the other time in inflation

Keywords

Main Subjects


  1. Aastveit, K. A., & Anundsen, A. K. (2018). Asymmetric effects of monetary policy in regional housing markets.
  2. Bretscher, L., Hsu, A., & Tamoni, A. (2017). Implementing stochastic volatility in DSGE models: a comment. Georgia Tech Scheller College of Business Research Paper, (17-40).
  3. Christiano, L. J., Eichenbaum, M. S., & Trabandt, M. (2018). On DSGE models. Journal of Economic Perspectives32(3), 113-40.
  4. Dindar Rostami, M., & Shirinbakhsh, Sh. (2015). The Asymmetric Effect of Housing Price Impact on the Consumption of Urban Households in the Provinces of Iran: Rahaft VAR – Panel. Journal of Regional Economics and Development, 23(12), 34-64 (In Persian).
  5. Ferreira, F., & Gyourko, J. (2012). Heterogeneity in neighborhood-level price growth in the united states, 1993-2009. American Economic Review102(3), 134-40.
  6. Glaeser, E. L., & Gyourko, J. (2005). Urban decline and durable housing. Journal of political economy113(2), 345-375.
  7. Mian, A., Rao, K., & Sufi, A. (2013). Household balance sheets, consumption, and the economic slump. The Quarterly Journal of Economics128(4), 1687-1726.
  8. Saqi, F., Hejberkiani, K., Mirza Pour-Babajan, A., & Akbari Moghaddam, B. (2018). Asymmetric Effects of Monetary Policy on the Iranian Housing Market: MS-VAR Nonlinear Approach. Applied Economic Theories, 5(3), 75-102 (In Persian).
  9. Simo-Kengne, B. D., Balcilar, M., Gupta, R., Reid, M., & Aye, G. C. (2013). Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-Switching Vector Autoregressive model. Economic Modelling32, 161-171.
  10. Tavaklian, H., & Sarem, M. (2017). DSGE patterns in DYNARE software (modeling, solving and estimation based on Iranian economy). Monetary and Banking Research Institute of the Central Bank of the Islamic Republic of Iran (In Persian).
  11. Tsai, I. C. (2013). The asymmetric impacts of monetary policy on housing prices: A viewpoint of housing price rigidity. Economic Modelling31, 405-413.
  12. Walsh, J. (2010). Contests and contexts: The Irish language and Ireland's socio-economic development (Vol. 15). Peter Lang.
  13. Weisstein, E. W. (2003). Beta distribution. https://mathworld. wolfram. com/.
  14. Wei Hogg, R., & A. Tanis, E.(1996). Probability and statistical inference. Sixth edition, University of Tehran Press (In Persian).
  15. Zarouki, Sh., & Motameni, M. (2017). The asymmetric effect of oil prices on the housing market in Iran (application of the nonlinear ARDL approach). Macroeconomic Research Journal, 12(23), 81-105 (In Persian).