Application of Fuzzy Nonlinear Regression Model in Investigating Asymmetric Effects of Inflation

Authors

20.1001.1.27174409.1398.2.2.9.9=DOR

Abstract

The Main Purpose Of This Article Is To Investigate The Nonlinear Effect Of Inflation And Unemployment On The Rent Of Residential Houses In Large Cities Of Iran. In This Regard, Using Nonlinear Logistic Model And Fuzzy Approach, Using Annual Data From 160 To 155, We Analyze The Variables Affecting The Rent Of Residential Houses In Large Cities. With The Help Of Trasworth Test, The Fit Of The Nonlinear Logistic Model Of The Data Is Confirmed. Therefore, Based On The Nonlinear Logistic Model, The Changes Of Independent Variables Are Divided Into Three Parts (Low Threshold, Middle Threshold And High Threshold) And The Results Show That The Change In Inflation At The Upper Threshold Has The Greatest Impact On Housing Rents. This Effect Is Also Significant At The Average Threshold, Which Indicates The Existence Of Inflation Stickiness In The Housing Rent Sector. The Role Of Inflation Expectations In Increasing The Rent Of Residential Houses In Iran Can Not Be Denied Because The Effect Of The Percentage Change In Rent In The Previous Period On The Current Period Rent Is Positive At All Thresholds. On The Other Hand, The Percentage Change In Unemployment Has A Positive Effect On Rent At High Thresholds, Low Thresholds And Mediums.

Keywords

References

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History

  • Receive Date: 15 July 2020
  • Revise Date: 25 August 2020
  • Accept Date: 31 August 2020

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