1 / 39

Introduction to Time Series Regression and Forecasting (SW Chapter 14)

Introduction to Time Series Regression and Forecasting (SW Chapter 14). Example #1 of time series data: US rate of price inflation, as measured by the quarterly percentage change in the Consumer Price Index (CPI), at an annual rate. Example #2: US rate of unemployment.

holly
Télécharger la présentation

Introduction to Time Series Regression and Forecasting (SW Chapter 14)

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. Introduction to Time Series Regression and Forecasting(SW Chapter 14)

  2. Example #1 of time series data: US rate of price inflation, as measured by the quarterly percentage change in the Consumer Price Index (CPI), at an annual rate

  3. Example #2: US rate of unemployment

  4. Why use time series data?

  5. Time series data raises new technical issues

  6. Using Regression for Forecasting

  7. Time Series data & Serial Correlation

  8. Example: Quarterly rate of inflation at an annual rate (U.S.)

  9. Example: U.S. CPI inflation

  10. Autocorrelation

  11. Sample autocorrelations

  12. Example

  13. Other economic time series:

  14. Other economic time series, ctd:

  15. Stationarity: a key requirement for external validity of time series regression

  16. First Order Autoregressive Model

  17. Example: AR(1) model of the change in inflation

  18. Example: AR(1) model of inflation – STATA

  19. Example: AR(1) model of inflation

  20. Example: AR(1) model of inflation

  21. Forecasts: terminology and notation

  22. Forecast errors

  23. Example: forecasting inflation using an AR(1)

  24. The AR(p) model

  25. Example: AR(4) model of inflation

  26. Example: AR(4) model of inflation

  27. Example: AR(4) model of inflation

  28. Digression: we used Inf, not Inf, in the AR’s. Why?

  29. So why use Inft, not Inft?

  30. Autoregressive Distributed Lag (ADL) Model

  31. Example: inflation and unemployment

  32. The empirical U.S. “Phillips Curve,” 1962 – 2004 (annual)

  33. The empirical (backwards-looking) Phillips Curve, ctd.

  34. Example: dinf and unem

  35. Example: ADL(4,4) model of inflation & Granger causality test

More Related