## ABSTRACT A forecasting model for unemployment is constructed that exploits the time series properties of unemployment while satisfying the economic relationships specified by Okun's law and the Phillips curve. In deriving the model, we jointly consider the problem of obtaining estimates of the u
Time-series forecasting of the German unemployment rate
โ Scribed by PD Dr. Michael Funke
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 810 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
โฆ Synopsis
The purpose of the paper is to investigate the accuracy of forecasts derived from univariate and multivariate time-series models. An iterative method to adjust for impact assessment in univariate ARIMA models is discussed and illustrated for the German unemployment rate. Finally, we also examine the pros and cons of the impact assessment model in comparison with VAR models.
KEY WORDS Univariate and multivariate time series Impact assessment
Historical tracking Forecast
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