Document Type : Research Paper

Authors

1 Professor of Economics, Allameh Tabataba'i University, Tehran, Iran

2 Ph.D. in Economics, Allameh Tabataba'i University, Tehran, Iran

Abstract

  This study utilizes the continuous wavelet transform approach and time-frequency domain analysis to shed new light on the causal relationship between land, housing prices, liquidity , and economic growth. According to the results of the research: 1) In the short term (12-month cycle), the relationship between housing/land prices and liquidity is two-way and direct, while in lower frequencies (long-term), a direct causal relationship from liquidity to the growth of housing/land prices is evident. 2) Analysing the dynamics of the causal relationship between housing/land prices and economic growthindicates a long-term causal relationship between these variables. 3) In the medium and long term, a stable, strong, and in-phase relationship exists between the ratio of liquidity to GDP and the ratio of the housing price index to the price index. This implies that when the liquidity-to-GDP ratio increases, leading to a higher influx of liquidity into the land and housing sector, the housing price index surpasses the overall price index.

Keywords

حاجی­زاده، سمیه. (1393). اثرات نامتقارن تغییرات حجم پول بر قیمت های مسکن در ایران (نگرشی از چسبندگی قیمت مسکن). پایان نامه ارشد، دانشگاه سمنان.
سیدنورانی، سیدمحمدرضا (1393). بررسی سفته بازی و حباب قیمت مسکن در مناطق شهری ایران. فصلنامه پژوهشنامه اقتصادی، 14(52)، 68-49.
شاکری، عباس  (1395). مقدمه­ای بر اقتصاد ایران. انتشارات رافع.
شاکری، عباس، الناز، باقرپور اسکویی. (1400). بررسی ماهیت درون­زایی و برون­زایی نقدینگی
در اقتصاد ایران. فصلنامه نظریه‌های کاربردی اقتصاد، 8(4)، 160-127.
doi: 10.22034/ecoj.2021.46454.2898
شاکری، عباس، الناز، باقرپور اسکویی. (1401). تحلیلی بر اثرات متفاوت اجزای نقدینگی بر تورم و تولید در اقتصاد ایران: تحلیل همدوسی موجکی، دو فصلنامه «علمی» توسعه علوم انسانی، 5، 76-49.
شهبازی، کیومرث، زهرا، کلانتری. (1391). اثرات شوک های سیاست های پولی و مالی بر متغیرهای بازار مسکن در ایران: رهیافت SVAR، فصلنامه پژوهش­ها و سیاست­های اقتصادی، سال بیستم،شماره 61، بهار 1391، صفحات 104-77.
نادمی، یونس، رامین، خوچیانی. (1396). بررسی رابطه بخش مسکن و برخی متغیرهای اقتصاد کلان ایران: رویکرد همدوسی موجک. فصلنامه مدلسازی اقتصاد سنجی، (2)4 ، 85.- 106 doi: 10.22075/jem.2018.13614.1126
Aguiar‐Conraria, L., & Soares, M. J. (2014). The continuous wavelet transform: Moving beyond uni‐and bivariate analysis. Journal of Economic Surveys, 28(2), 344-375. https://doi.org/10.1111/joes.12012
Andrieş, A. M., Ihnatov, I., & Tiwari, A. K. (2016). Comovement of exchange rates: A wavelet analysis. Emerging markets finance and trade, 52(3), 574-588. https://doi.org/10.1080/1540496X.2014.998563
Brissimis, S. N. & Vlassopoulos, T. (2009). The Interaction between Mortgage Financing and Housing Prices in Greece. The Journal of Real Estate Finance and Economics, 39,146–164.
Brunnermeier, M. K., & Julliard, C. (2008). Money illusion and housing frenzies. The Review of Financial Studies, 21(1), 135-180.
Bruzda, J. (2017). Real and complex wavelets in asset classification: an application to the US stock market. Finance Research Letters, 21, 115-125. https://doi.org/10.1016/j.frl.2017.02.004
     doi: 10.22034/ecoj.2021.46454.2898
Gao, S., Kang, Y., Zhang, F., Peng, W., Rao, J., Duarte, F., & Ratti, C. (2021). Understanding house price appreciation using multi-source big geo-data and machine learning. Land Use Policy111, 104919.‏ https://doi.org/10.1016/j.landusepol.2020.104919
Goodhart, C., & Hofmann, B. (2008). House prices, money, credit, and the macroeconomy. Oxford review of economic policy24(1), 180-205.‏
Grinsted, A. J., Moore, C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series.582
Habimana, O. (2016). Oil price, exchange rate and consumer price co-movement: A continuous-wavelet analysis.
Hajizadeh, S. (2013). Asymmetric effects of money volume changes on housing prices in Iran (an approach of housing price stickiness). Master thesis, Semnan University [In Persian].
Iacoviello, M. (2005). House prices, borrowing constraints, and monetary policy in the business cycle. American economic review, 95(3), 739-764. DOI: 10.1257/0002828054201477
Iacoviello, M., & Neri, S. (2010). Housing market spillovers: evidence from an estimated DSGE model. American Economic Journal: Macroeconomics2(2), 125-164.‏ DOI: 10.1257/mac.2.2.125
Kiyotaki, N., & Moore, J. (1997). Credit cycles. Journal of political economy, 105(2), 211-248. https://doi.org/10.1086/262072
Korkmaz, Ö. (2019). The relationship between housing prices and inflation     rate in Turkey: Evidence from panel Konya causality test. International Journal of Housing Markets and Analysis, 13(3), 427-452. DOI: 10.1108/IJHMA-05-2019-0051
Lastrapes, W. D. (2002). The real price of housing and money supply shocks: time series evidence and theoretical simulations. Journal of Housing Economics, 11(1), 40-74. https://doi.org/10.1006/jhec.2002.0309
McLeay, M., Radia, A., & Thomas, R. (2014). Money creation in the modern economy. Bank of England quarterly bulletin, Q1.
MHUD (2007). Ministry of Housing and Urban Development of Iran, online, retrieved 23 January 2010, from http://maskan-sakhteman. ir/Content/?CID=30&PID=39&LID=1
Nademi,Y.,& Khochiany, R . (2017). Considering the Relationship between the Housing Sector and Some Macroeconomic Variables of Iran: The Wavelet Coherency Approach. Quarterly Journal of Econometric modeling, 2(4), 85-106 [In Persian]. doi:10.22075/jem.2018.13614.1126
Parrikar, J. G. P. (2019). The influence of macroeconomic factors on housing prices in India: an empirical study. Indian Journal of Economics and Development7(3), 1-7.
Peng, W., Tam, D. C. and Yiu, M. S. (2008). 'Property market and the macroeconomy of mainland China: a cross region study.' Pacific Economic
Seyed Noorani, S. (2014). Investigating speculation and housing price bubble in urban areas of Iran, Economic Research Quarterly, 14(52), 68-49 [In Persian].
Shahbazi, K.,& Kalantari, Z. (2011). Effects of monetary and financial   policy shocks on housing market variables in Iran: SVAR approach, Economic Research and Policy Quarterly, 20(61), 77-104 [In Persian].
Shakeri, A. (2016). An Introduction to the Iranian Economy. Rafe
Publications [In Persian]
Shakri, A., & Bagharpour, E. (2021). Investigating the endogenous and exogenous nature of liquidity in Iran's economy, Quarterly Journal of Applied Economic Theories, 8(4), 127-160 [In Persian].
Shakri, A., & Bagharpour, E. (2022). An analysis of the different effects of liquidity components on inflation and production in Iran's economy: wavelet coherence analysis, quarterly journals of the development of human sciences, 5, 76-49 [In Persian].
Stein. Jeremy C, (1995), "Price and Trading Volume in the Housing Market: A Model with Down-Payment Effects", Quarterly Journal of Economics, 110, 379- 406. https://doi.org/10.2307/211844
Su, C. W., Wang, X. Q., Tao, R., & Chang, H. L. (2019). Does money supply drive housing prices in China?. International Review of Economics & Finance, 60, 85-94.‏ https://doi.org/10.1016/j.iref.2018.12.013
Wang, Y., & Jiang, Y. (2016). An empirical analysis of factors affecting the housing price in Shanghai. Asian Journal of Economic Modelling, 4(2), 104-111.‏ DOI: 10.18488/journal.8/2016.4.2/8.2.104.111
Wang, Z., Hoon, J., & Lim, B. (2012). The impacts of housing affordability on social and economic sustainability in Beijing. In Australasian Journal of Construction Economics and Building-Conference Series,  1(1), 47-55). DOI: 10.5130/ajceb-cs.v1i1.3154
Willen, P. (2015). Discussion of Arslan, Guler, and Taskin. Journal of Money, Credit and Banking, 47(S1), 171-174.‏ https://doi.org/10.1111/jmcb.12197