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Predicting unemployment rates in Indonesia

Author

Listed:
  • Umi Mahmudah

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.

Suggested Citation

  • Umi Mahmudah, 2017. "Predicting unemployment rates in Indonesia," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 9(1), pages 20-28.
    • Handle: RePEc:uii:journl:v:9:y:2017:i:1:p:20-28:id:7090
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    File URL: https://journal.uii.ac.id/JEP/article/view/7090/6707
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