I Maruddani, Di Asih and Tarno, Tarno and Al Anisah , Rokhma (2008) UJI STASIONERITAS DATA INFLASI DENGAN PHILLIPS-PERON TEST. Media Statistika, 1 (1). pp. 27-34. ISSN 1979-3693

PDF - Published Version

Official URL: http://stat.undip.ac.id


The classical regression model was devised to handle relationships between stationary variables. It should not be applied to nonstationary series. A time series is therefore said to be stationary is its mean, variance, and covariances remain constant over time. A problem associated with nonstationary variables, and frequently faced by econometricians when dealing with time series data, is the spurious regression. An apparent indicator of such spurious regression was a particularly low level for the Durbin-Watson statistics, combined with an acceptable R2. Statistical test for stationarity have proposed by Dickey and Fuller (1979). The distribution theory supporting the Dickey-Fuller test assumes that the errors are statistically independent and have a constant variance. Phillips and Peron (1988) developed a generalization of the Dickey-Fuller procedure that the error terms are correlated and not have constant variance. In this paper, we use Phillips-Peron test for inflation data in Indonesia for the time period 1996-2003. The data showed upward trend and the error terms are correlated. The empirical results showed that the inflation data in Indonesia is a nonstationary series. Keywords : stationarity, non autocorrelation, Phillips-Peron Test, inflation

Item Type:Article
Subjects:Q Science > Q Science (General)
Divisions:School of Postgraduate (mixed) > Master Program in Biomedical Science
ID Code:1393
Deposited By:Mr Hasbi Yasin
Deposited On:15 Oct 2009 15:58
Last Modified:15 Oct 2009 15:58

Repository Staff Only: item control page