In: Statistics and Probability
The following data is the unemployment rate in a metropolitan community over the last 10 years. Use exponential smoothing with a smoothing constant of a = 0.2, 0.4, 0.6, and 0.8 to find the best forecast for unemployment for next year. Using mean absolute deviation which forecast constant provides the best prediction of unemployment? Why?
Year |
Rate |
Year |
Rate |
1 |
7.2 |
6 |
5.5 |
2 |
7.0 |
7 |
6.7 |
3 |
6.2 |
8 |
7.4 |
4 |
5.0 |
9 |
6.8 |
5 |
5.3 |
10 |
6.1 |
Exponential smoothing method formula for forecasting is
where st is forecasted value for t period, xt is actual value for t period
smoothing factor | 0.2 | 0.4 | 0.6 | 0.8 | 0.2 | 0.4 | 0.6 | 0.8 | |||||
Year | Rate | Forecast | Forecast | Forecast | Forecast | Difference | Abs.Diff. | Difference | Abs.Diff. | Difference | Abs.Diff. | Difference | Abs.Diff. |
1 | 7.2 | 7.2 | 7.2 | 7.2 | 7.2 | 0.0 | |||||||
2 | 7 | 7.2 | 7.1 | 7.1 | 7.0 | 0.2 | 0.2 | 0.1 | 0.1 | 0.1 | 0.1 | 0.0 | 0.0 |
3 | 6.2 | 7.0 | 6.8 | 6.6 | 6.4 | 0.8 | 0.8 | 0.6 | 0.6 | 0.4 | 0.4 | 0.2 | 0.2 |
4 | 5.5 | 6.7 | 6.3 | 5.9 | 5.7 | 1.2 | 1.2 | 0.8 | 0.8 | 0.4 | 0.4 | 0.2 | 0.2 |
5 | 5.3 | 6.4 | 5.9 | 5.5 | 5.4 | 1.1 | 1.1 | 0.6 | 0.6 | 0.2 | 0.2 | 0.1 | 0.1 |
6 | 5.5 | 6.2 | 5.7 | 5.5 | 5.5 | 0.7 | 0.7 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 |
7 | 6.7 | 6.3 | 6.1 | 6.2 | 6.5 | -0.4 | 0.4 | -0.6 | 0.6 | -0.5 | 0.5 | -0.2 | 0.2 |
8 | 7.4 | 6.5 | 6.6 | 6.9 | 7.2 | -0.9 | 0.9 | -0.8 | 0.8 | -0.5 | 0.5 | -0.2 | 0.2 |
9 | 6.8 | 6.6 | 6.7 | 6.9 | 6.9 | -0.2 | 0.2 | -0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 |
10 | 6.1 | 6.5 | 6.5 | 6.4 | 6.3 | 0.4 | 0.4 | 0.4 | 0.4 | 0.3 | 0.3 | 0.2 | 0.2 |
Total | 5.8 | 4.0 | 2.4 | 1.2 | |||||||||
MAD | 0.6 | 0.4 | 0.3 | 0.1 |
Lowest MAD is for 0.8 smoothing constant