|
Estimation of Phillips Curve with Regression Models of Smooth
|
Hossein Amiri   , Ebrahim Gorji |
|
|
|
Abstract: (12940 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
|
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
