Gross Domestic Product (GDP) is considered as the best measure of economicperformance. However, in Indonesia, the GDP is presented in quarterly aggregate value.As a result, the monthly economic outlook is unknown, and analysis with other monthlyeconomic variables becomes limited. Therefore, this study will disaggregate quarterlyGDP into monthly GDP and its forecasting by using one of the coincident indicatorswhich are monthly Production Index of Large and Medium Manufacturing (industrialproduction index). Disaggregation is done on National GDP data of Indonesia period2000/I to 2016 / IV, whereas forecasting is made on monthly and quarterly GDP 2017.This study uses a combination of the simple linear regression model and ARIMA modelwith some modifications. The disaggregation result indicates that the monthly GDPmoves volatile and has a different pattern between quarters. Also, the monthly GDPdisaggregation and forecasting are proven that can be used by industrial productionindex that becomes a coincident indicator. GDP 2017 shows that the highest quarterlyGDP will have occurred in the third quarter, whereas the highest monthly GDP willhave occurred in June (second quarter). The result of disaggregation can be used furtherto the study of economic outlook will be more comprehensive.
Luthfiana, Profita Sumunar and Nasrudin
"Disaggregation and Forecasting of the Monthly Indonesian Gross Domestic Product (GDP),"
Bulletin of Monetary Economics and Banking: Vol. 20:
4, Article 2.
Available at: https://bulletin.bmeb-bi.org/bmeb/vol20/iss4/2