Since the end of 1950s, the Philips Curve has been a basic topic in the centre of macro-economic discipline
both at theoretical and at empirical level with successes and failures. In this study, the causality relationship
between inflation and unemployment was studied through panel data analysis by using the tri-monthly data in
G7 countries between 1998: 1- 2016: 1. In the study, the stationarity of the series was tested by Levin, Lin, and
Chu (2002), Im, Pesaran, and Shin (2003) and Breitung (2000) tests. According to the results of the LLC, IPS
and Breitung unit root tests, the variables include root at level. When the first differences of the variables are
taken, it was determined that the series got stationary at 1% and 5% significance levels according to three-unit
root tests. After it was determined that the variables were stationary at the same level, the long-term relationship
among the variables were studied through Johansen-Fisher panel co-integration test and it was concluded that
there is co-integration among the variables of inflation and unemployment in the long-term. Finally, in testing
the causality relationship among the series in the study, the causality test developed by Dumitrescu-Hurlin
(2012) was used. According to the results of the causality, there is a bilateral causality detection between
inflation and unemployment. This result show that the compromise between inflation and unemployment is
valid in G7 countries in the long-term.
The Philips Curve Inflation rate Unemployment rate Panel Data Analysis
Birincil Dil | Türkçe |
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Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 26 Aralık 2017 |
Yayımlandığı Sayı | Yıl 2017 Cilt: 6 Sayı: 12 |
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