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Umi Mahmudah
School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu
Economics, Econometrics & Finance

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Predicting unemployment rates in Indonesia Umi Mahmudah
Economic Journal of Emerging Markets Volume 9 Issue 1, 2017
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.vol9.iss1.art3

Abstract

The main purpose of this study is to predict the unemployment rate in Indonesia by using time series data from 1986 to 2015 using autoregressive integrated moving average (ARIMA). A differencing process is required due to the actual time series of the unemployment rates in Indonesia is non-stationary. The results show that the best model for forecasting the unemployment rate in Indonesia by using the ARIMA (0,2,1) model. The forecasting results reveal that the unemployment rate in Indonesia tends to decrease continuously. The average of the residuals is close to zero which informs a good result of the forecasting analysis.
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