IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Using switching models to study business cycle asymmetries: 1. overview of methodology and application

Listed author(s):
  • Michael D. Boldin

Switching Models are advocated as interesting and tractable alternatives to conventional, linear models of the business cycle. Applications are motivated by the belief that expansions and recessions are distinct regimes with different data generating processes. Therefore, it is important that econometric specifications capture this fundamental asymmetry. With Switching Models, both the time-periods and characteristics of business cycle regimes can be derived simultaneously. Asymmetries can then be tested with a minimum of prior modeling assumptions and restrictions. Results with monthly data strongly support the asymmetric, multiple-regime view. These models have definite potential in many areas of economic research.

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Paper provided by Federal Reserve Bank of New York in its series Research Paper with number 9211.

in new window

Date of creation: 1992
Handle: RePEc:fip:fednrp:9211
Contact details of provider: Postal:
33 Liberty Street, New York, NY 10045-0001

Web page:

More information through EDIRC

Order Information: Email:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:fip:fednrp:9211. 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: (Amy Farber)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.