1 / 11

Incorporating Seasonality

Incorporating Seasonality. Modeling seasonality with trend Forecasting. Seasonality. Data = Trend + Season (Quarter, say) + e. *. *. *. *. *. *. *. *. *. *. *. *. I. II. III. IV. IV. IV. Defining Dummy Variables. Eviews : @seas. Seasonal Model - 1 for Quarterly Data.

mada
Download Presentation

Incorporating Seasonality

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Incorporating Seasonality • Modeling seasonality with trend • Forecasting

  2. Seasonality • Data = Trend + Season (Quarter, say) + e * * * * * * * * * * * * I II III IV IV IV

  3. Defining Dummy Variables Eviews:@seas

  4. Seasonal Model - 1for Quarterly Data Yt = b0 + g1Q1t + g2Q2t + g3Q3t + et Note: Q4 is not included

  5. Interpretation of the Model

  6. Seasonal Model – 2for Quarterly Data Yt = g1Q1t + g2Q2t + g3Q3t + g4Q4t+et Note: b0 is not included

  7. Interpretation of the Model

  8. Model for Trend and Seasonality-1 Yt = b0 +b1 t +g1Q1t + g2Q2t + g3Q3t + et Note: Q4 is not included

  9. Interpretation of the Model

  10. Model for Trend and Seasonality-2 Yt = b1 t +g1Q1t + g2Q2t + g3Q3t + g4Q4t + et Note: b0 is not included

  11. Interpretation of the Model

More Related