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dc.contributor.authorAbustan, Abustan
dc.contributor.authorMahyuddin, Mahyuddin
dc.date.accessioned2012-03-03T03:17:27Z
dc.date.available2012-03-03T03:17:27Z
dc.date.issued2010-06
dc.identifier.issn1411-6081
dc.identifier.urihttp://hdl.handle.net/11617/74
dc.description.abstractVector Auto Regression (VAR) is an analysis or statistic method which can be used to predict time series variable and to analyst dynamic impact of disturbance factor in the variable system. In addition, VAR analysis is very useful to assess the interrelationship between economic variables. This research through the following test phases: unit root test, test of hypothesis, Granger causality test, and form a vector autoregresion model (VAR). The data used in this research is the GDP data and budget data of South Sulawesi in the period 1985-2004. The research aims to analyze the interrelationship between public expenditure and economic growth in South Sulawesi. The result showed statistically significant in economic growth (PDRB) influence public expenditure (APBD), however, not vice versa. Otherwise, for the need of APBD prediction, the used of lag 4 was the optimum model based on the causal relationship to PDRB.en_US
dc.subjecthubungan kausalitasen_US
dc.subjectbelanja publiken_US
dc.subjectpertumbuhan ekonomien_US
dc.subjectVector Auto Regression (VAR) analysisen_US
dc.titleANALISIS VECTOR AUTO REGRESSIVE (VAR) TERHADAP KORELASI ANTARA BELANJA PUBLIK DAN PERTUMBUHAN EKONOMI DI SULAWESI SELATAN, TAHUN 1985-2005en_US
dc.typeArticleen_US


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