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A Forecasting Model for Japan's Unemployment Rate

Keywords: Unemployment Rate , Hysteresis , ARFIMA Model , Forecasting.

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Abstract:

This note aims to achieve a parsimonious fractionally-integrated autoregressive and moving average (ARFIMA) model for recent time series data of Japan's unemployment rate. A brief review of the ARFIMA model is provided, leading to econometric modeling of the data in the ARFIMA framework. It is demonstrated that the preferred ARFIMA model is a satisfactory representation of the data and is useful as a forecasting device.

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