Forecasting with Mixed Frequencies (ICPSR 34712)
Version Date: Jun 20, 2013 View help for published
Principal Investigator(s): View help for Principal Investigator(s)
Michelle T. Armesto, Federal Reserve Bank of St. Louis;
Kristie M. Engemann, Federal Reserve Bank of St. Louis;
Michael T. Owyang, Federal Reserve Bank of St. Louis
https://doi.org/10.3886/ICPSR34712.v1
Version V1
Summary View help for Summary
A dilemma faced by forecasters is that data are not all sampled at the same frequency. Most macroeconomic data are sampled monthly (e.g., employment) or quarterly (e.g., GDP). Most financial variables (e.g., interest rates and asset prices), on the other hand, are sampled daily or even more frequently. The challenge is how to best use available data. To that end, the authors survey some common methods for dealing with mixed-frequency data.
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Data Collection Notes View help for Data Collection Notes
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The data are distributed as a Microsoft Excel file, which provides data, tables, and figures used in the publication.
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These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.
Original Release Date View help for Original Release Date
2013-06-20
Version History View help for Version History
2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
- Armesto, Michelle T., Kristie M. Engemann, and Michael T. Owyang. Forecasting with Mixed Frequencies. ICPSR34712-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2013-06-20. http://doi.org/10.3886/ICPSR34712.v1
Notes
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