Purpose
To familiarize participants with raking methods and software. Raking deals with the problem of restoring cross-sectional aggregation constraints in time series systems. Optionally, temporal constraints can also be preserved. We also use the words reconciliation and balancing.
Benefits to participants
Upon completion of the course, the participants will be able to understand some of the reconciliation techniques in use at Statistics Canada. They will have acquired the technical knowledge to solve reconciliation problems in SAS and in R, and to analyze the results. The course is technical and theoretical.
Target population
This course is intended for employees involved or interested in the production and analysis of raked time series or in the raking process itself.
Course outline
The course examines
- One- and two- dimensional raking with or without preservation of annual constraints;
- Alterability coefficients;
- Pro-rating and proportional iterative raking methods;
- Reconciliation methods available in SAS and R;
- Time series system with multiple reconciliation rules;
- Movement preservation.
Some knowledge of SAS or R will be useful, but not mandatory.
Other Related Courses
The course is specialized and requires basic statistical knowledge. The course STC0436 Theory and Application of Benchmarking is also available.
Delivery type: Virtual instructor-led
Duration: 2 half-days
Contact:
If you have questions or to register to the course, contact us at
statcan.timeseriessupportsoutienenserieschronologiques.statcan@statcan.gc.ca