A Forecasting Model for Japan's Unemployment Rate

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.

Keywords

• Unemployment Rate
• Hysteresis
• ARFIMA Model
• Forecasting.