Application of Generalized Space-Time Autoregressive Model on GDP Data in West European Countries

Publons ID53350620
Wos IDWOS:000215830900034
Doi10.1155/2012/867056
TitleApplication of Generalized Space-Time Autoregressive Model on GDP Data in West European Countries
First Author
Last Author
AuthorsNurhayati, NN; Pasaribu, US; Neswan, O;
Publish Date2012
Journal NameJOURNAL OF PROBABILITY AND STATISTICS
Citation5
AbstractThis paper provides an application of generalized space-time autoregressive (GSTAR) model on GDP data in West European countries. Preliminary model is identified by space-time ACF and space-time PACF of the sample, and model parameters are estimated using the least square method. The forecast performance is evaluated using the mean of squared forecast errors (MSFEs) based on the last ten actual data. It is found that the preliminary model is GSTAR (2; 1,1). As a comparison, the estimation and the forecast performance are also applied to the GSTAR (1;1) model which has fewer parameter. The results showed that the ASFE of GSTAR (2; 1,1) is smaller than that of the order (1; 1). However, the t-test value shows that the performance is significantly indifferent. Thus, due to the parsimony principle, the GSTAR (1; 1) model might be considered as a forecasting model.
Publish TypeJournal
Publish Year2012
Page Begin(not set)
Page End(not set)
Issn1687-952X
Eissn1687-9538
Urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000215830900034
AuthorDr NUNUNG NURHAYATI, S.Si, M.Si
File60699.pdf