A seasonal root test with Stata
Many economic time series exhibit important systematic fluctuations within the year, i.e., seasonality. Differently from usual practice, we argue that using original data should always be considered, although an unadjusted data process is more complicated than that of seasonally adjusted data. Motivations to use not-adjusted data come from the information contained in their peak and trough and from economic theory. One major complication is the unit root at seasonal frequencies. In this paper, we tackle this complication by implementing a test to identify the source of seasonality. In particular, we follow Hylleberg et al. (1993) for quarterly data. A practical example from Permanent Income Hypothesis emphasizes the utility of the command with macroeconomic time series.
When requesting a correction, please mention this item's handle: RePEc:boc:isug08:07. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.