Investigating Club Convergence Dynamics in Housing Prices (Case Study: Tehran City)

The purpose of this paper is to analyze the dynamics of club convergence of housing prices in different areas of Tehran. For this purpose, the log t regression test method and price data in two time periods of no price jump (2012-2018) and the occurrence of housing price jump (2019-2021) were used.  Based on the results of the log t-test, in these two time periods, the null hypothesis that there is convergence in the whole sample is not rejected. Also, the existence of club convergence in each of the periods was confirmed. Accordingly, in the period 2012-2018, the regions of Tehran form three clubs, but in the period 2019-2021, price behavior in the regions of Tehran changed and all regions of Tehran became one club and converged into a state of equilibrium. According to the results of the research, it can be said that in case of intensification of convergence, housing market policies will become more difficult than before to manage this market.