A Forecasting Model for Japan's Unemployment Rate

Authors

  • Takamitsu KURITA Fukuoka University

Keywords:

Unemployment Rate, Hysteresis, ARFIMA Model, Forecasting.

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.

Published

31-05-2010

How to Cite

KURITA, T. (2010). A Forecasting Model for Japan’s Unemployment Rate. Eurasian Journal of Business and Economics, 3(5), 127-134. Retrieved from https://ejbe.org/index.php/EJBE/article/view/35

Issue

Section

Articles