Volume 2, Issue 3 (3-2011)
jemr 2011, 2(3): 169-190 |
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amiri H, Gorji E. Estimation of Phillips Curve with Regression Models of Smooth . jemr 2011; 2 (3) :169-190
URL: http://jemr.khu.ac.ir/article-1-216-en.html
URL: http://jemr.khu.ac.ir/article-1-216-en.html
1- Allmeh Tabata’i University , hossienamiri@gmail.com
2- University of Tehran
2- University of Tehran
Abstract: (15844 Views)
The Phillips curve usually has been estimated in a linear framework which implies a stable constant relationship between inflation and unemployment. Some of the studies claim that the slope of the Phillips curve is a function of macroeconomic conditions and also the relationship is asymmetric. This article deals with a smooth transition regression model for relationship between inflation and unemployment for Iran, during the period of 1971 -2007. Smooth transition regression model is a non linear time series regression model which could be considered as developed form of regime switching regression model. Results show that there is a negative and nonlinear relationship between inflation and unemployment in short-term. Regarding this result it's highly important for policy makers to be able to make a relationship between these two variables
Keywords: Phillips curve, Inflation, Unemployment, GDP Gap, Nonlinear Phillips Curve, Smooth Transition Regression Models
Type of Study: Applicable |
Subject:
رشد و توسعه و سیاست های کلان
Received: 2011/05/10 | Accepted: 2011/06/26 | Published: 2011/06/15
Received: 2011/05/10 | Accepted: 2011/06/26 | Published: 2011/06/15
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