Asymmetric Effect f Oil Price on Residential Market in Iran: Application of NARDL Method

Document Type : Scientific paper

Authors

Assistant Professor in Economics, University of Mazandaran

Abstract

Looking at the trend of oil price in Iran economy, it seems that the oil boom periods have been accompanied by an increase in residential prices, but there isn’t reverse of this relation in oil recession periods. Therefore, the analysis of the relationship between residential price and oil price requires an asymmetrical model. In this study, the effect of oil price on housing price in asymmetric shape in 1972-2015 periods has been analyzed using Shin et al. (2014). For this purpose, a nonlinear autoregressive distributed lag (NARDL) approach has been used. The results confirm the asymmetric relationship between oil price and the residential price index. So that, in the short and long run, the increase in oil price has a positive and significant effect on residential price, while the decreasing in oil price does not have a significant effect. In summery the result of this study provides a new explanation of the Business cycle of the residential market and the global oil price is introduced as an effective variable in this cycle. But the role of this variable is confirmed only during the period of increasing oil price. Another finding is that consumer price index has a positive and significant effect on residential price in the short-run and long-run.

Keywords

References

Abbasi Nejad, H. and Yari, H. (2009). The Effect of Oil Shocks on House Prices in Iran. Economic Research, 9(1): 59-77 (In Persian).
Adams, Z. and Füss, R. (2010). Macroeconomic Determinants of International Housing Markets. Journal of Housing Economics, 19(1): 38-50.
Antonakakis, N., Gupta, R. and Mwamba, J.W.M. (2016).  Dynamic Co-Movement between Housing and Oil Markets in the US over 1859 to 2013: A Note. www.researchgate.net,5787776208aedc252a935889.
Bruno, M. and Sachs, J. (1982). Energy and Resource Allocation: A Dynamic Model of the Dutch Disease. The Review of Economic Studies, 49(5): 845-859.
Corden, M.W. and Neary, J.P. (1982). Booming Sector and DE-Industrialization in a Small Open Economy. The Economic Journal, 92(368): 825-848.
Davidoff, T. (2005). A House Price is not a Home Price: Land Structures, and the Macroeconomy. Hass University of Business.
Dipasquale, D. and Wheaton, W.C. (1992). The Markets for Real Estate Assets and Space: A Conceptual Framework. Real Estate Economics, 20(2), 181-198.
Egert, B. and Leonard, C.S. (2008). Dutch Disease Scare in Kazakhstan: Is it Real?. Open Economies Review, 19(2): 147-165.
Elbourn, A. (2008). The UK Housing Market and the Transmission of Monetary Policy: An SVAR Approach. Journal of Housing Economics, 17(1): 65-87.
Himmelberg, C., Mayer, C. and Sinnai, T. (2005). Assessing High House Prices: Bubbles, Fundamentals and Misconceptions. Journal of Economic Perspectives, 19(4): 67-92.
Hui, H-C. (2013). Housing Price Cycles and Aggregate Business Cycles: Stylized Facts in the Case of Malaysia. Journal of Developing Areas, 47(1): 149-169.
Kelly, E. (2000). Dublin Housing Prices: An Econometrics Analysis. Student Economic Review.
Khataei, M., Shah Hosseini, S. and Molana, S.H. (2007). Effect of Changes in Oil Revenues on the Real Exchange Rate in Iran. Economic Research, 7(3): 103-130 (In Persian).
Khiabani, N. (2011). How Important Are Oil and Money Shocks in Explaining Housing Market Fluctuations in an Oil-Exporting Country?: Evidence from Iran. Munich Personal RePEc Archive, https://mpra.ub.uni-muenchen.de/id/eprint /34041.
Lastrapes, W. (2002). The Real Price of Housing and Money Supply Shocks: Time Series Evidence and Theoretical Simulations. Journal of Housing Economics, 11(1): 40-74.
Le, T-H. (2015). Do Soaring Global Oil Prices Heat up the Housing Market? Evidence from Malaysia Economics. The Open-Assessment E-Journal, http://www.economics-ejournal.org/economics/discussion papers, No. 27.
Ludwig, A. and Slok, T. (2004). The Relationship between Stock Prices, House Prices and Consumption in OECD Countries. The B.E. Journal of Macroeconomics, 4(1): 1-28.
Maclennan, D., Muellbauer, J. and Stephens, M. (1998). Asymmetries in Housing and Financial Market Institutions and EMU. Oxford Review of Economic Policy, 14(3): 54-80.
McQuinn, K. (2004). A Model of the Irish Housing Sector. Research Technical Paper, Central Bank and Financial Services Authority of Ireland, No. 1/RT/04.
Muth, R.F. (1972). Demand for Non-Farm Housing. Readings in Urban Economics, Edited by Edel, Matthew and Rathenberg, Jerme.
Nasorlahi, Kh., Tayyebi, K., Shajarim, H. and Forotan, M. (2009). Evaluating the Application of Dutch Disease and the Rate of Banking Facilities in Iran on Housing Prices Lagged Broad Explained Using a Model (ARDL). Journal of Housing Economics, Issue 45: 29-50 (In Persian).
Pesaran, M.H., Shin, Y. and Smith, R.J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3): 289-326.
Poterba, J.M. (1984). Tax Subsidies to Owner-Occupied Housing: An Asset Market Approach. The Quarterly Journal of Economics, 99(4): 729-752.
Salmani, Y. and Sadeghi, S. (2015). Effect of Oil Income Shocks on House Prices in Iran Through the Mechanism of Dutch Disease, Application of the Model SVAR. Journal of Housing Economics, Issue 55: 57-80 (In Persian).
Shin, Y., Yu, B. and Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. Springer New York, 281-314.
Smith, B.A. (1976). The Supply of Urban Housing. The Quarterly Journal of Urban Economics, 90(3): 389-405.
Tan, A. and Voss, G. (2003). Consumption and Wealth in Australia. The Economic Record, 79(244): 39-56.
www.cbi.ir
www.quandl.com/data/OPEC/ORB-OPEC-Crude-Oil-Price.
Macroeconomics Research Letter
Volume 12, Issue 23
August 2017
Pages 81-105

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History

  • Receive Date: 01 January 1970
  • Accept Date: 01 January 1970

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