Overview: This module covers the basic concepts needed to understand the uses and mechanics of seasonal adjustment. It can be taught with other modules that involve computer work, or it can be taught as a separate module with no computer work.
Prerequisites: None
Outline: The course examines the following topics:
Courses that contain this module:
Overview: This module covers all the commands of X-13ARIMA-SEATS needed to compute X-11-type adjustments, and includes instruction on input files, running the program in Windows, reading the output, and assessing the results. The module focuses on the options used for official U.S. government adjustments, the X-11/X-12-type adjustments, and only generally discusses options for SEATS-type adjustments. The module is practical in nature, with some brief discussion of the theory behind the calculations.
Prerequisites: The "Introduction to Seasonal Adjustment" course.
Outline: The course examines the following topics:
Note: If time permits at the end of the course, participants will have the chance to work on sample series provided or on their own series. Participants are encouraged to bring sample time series with them to class as either text files or in Excel format.
Courses that contain this module:
Overview: This module covers the commands available in SEATS, and includes instruction on input files, running the program, reading the output, and assessing the results. We will run the program in both TSW (TRAMO/SEATS for Windows) and in X-13ARIMA-SEATS. The module is practical in nature.
Prerequisites: The "Introduction to Seasonal Adjustment" course.
Outline: The course examines the following topics:
Note: If time permits at the end of the course, participants will have the chance to work on sample series provided or on their own series. Participants are encouraged to bring sample time series with them to class as either text files or in Excel format.
Courses that contain this module:
Overview: This module uses examples and exercises to give the participants a detailed look at the diagnostics for seasonal adjustment and regARIMA modeling available in X-13ARIMA-SEATS. The module is both practical and technical, and we also discuss some of the theory behind the diagnostics.
Prerequisites: The "Running X-13ARIMA-SEATS" course or similar work experience in X-12-ARIMA or X-13ARIMA-SEATS is useful. We assume that participants are already familiar with the basics of seasonal adjustment. Topics require some knowledge of statistics, and we cover some theoretical topics.
Outline: The course examines the following topics:
Note: At the end of the course, participants will have the chance to work on sample series provided or on their own series. Participants are encouraged to bring sample time series with them to class as either text files or in Excel format.
Courses that contain this module:
Overview: ARIMA models are mathematical models of the autocorrelation in a time series. This module is designed for users of seasonal adjustment and forecasting software who would like a deeper understanding of ARIMA models and the Box-Jenkins method. Because the focus is on forecasting for seasonal adjustment, we will discuss only univariate time series. The module is both practical and theoretical. The module is best when taught with in-class computer work (using X-13ARIMA-SEATS), but could also be taught as lectures only.
Prerequisites: None, but topics require some knowledge of statistics, for example, the participants should understand terms like mean, normal distribution, covariance, and linear regression.
Outline: The course examines the following topics:
Courses that contain this module:
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Last modified: 8 Aug 2017