Implementation of Bootstrap ARIMA Method to Forecasting Gross Domestic Products (GDP)

Abstract

This study examines the application of bootstrap ARIMA method to forecasting the GDP of West Sulawesi Province. GDP data is time series data so to predict GDP of West Sulawesi Province for some future period used time series analysis technique. One method often used in time series modeling in forecasting data is ARIMA Box-Jenkins. A nonparametric approach that is free of assumptions, one of which is the bootstrap method. The bootstrap method is a computer-based method that is very potential to be used on accuracy problems where the method is based on data simulations for statistical inference purposes. From result of research obtained that model of GDP data is ARIMA Bootstrap (0,2,1).