IDEAS home Printed from https://ideas.repec.org/p/fip/fednrp/9211.html
   My bibliography  Save this paper

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

Author

Listed:
  • Michael D. Boldin

Abstract

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.

Suggested Citation

  • Michael D. Boldin, 1992. "Using switching models to study business cycle asymmetries: 1. overview of methodology and application," Research Paper 9211, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednrp:9211
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below 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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Filardo, Andrew J. & Gordon, Stephen F., 1998. "Business cycle durations," Journal of Econometrics, Elsevier, vol. 85(1), pages 99-123, July.
    2. Chan Guk Huh, 1995. "Regime switching in the dynamic relationship between the federal funds rate and nonborrowed reserves," Working Papers in Applied Economic Theory 95-11, Federal Reserve Bank of San Francisco.
    3. Chan Guk Huh, 1998. "Forecasting industrial production using models with business cycle asymmetry," Economic Review, Federal Reserve Bank of San Francisco, pages 29-41.
    4. Gabriela Mundaca, B., 2000. "The effect of interventions on realignment probabilities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(3-4), pages 323-347, December.
    5. Kakes, Jan, 1998. "Monetary transmission and business cycle asymmetry," Research Report 98C36, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    7. Chan Guk Huh, 1996. "Regime switching in the dynamic relationship between the federal funds rate and innovations in nonborrowed reserves," International Finance Discussion Papers 536, Board of Governors of the Federal Reserve System (U.S.).
    8. Luca Stanca, 1999. "Asymmetries and nonlinearities in Italian macroeconomic fluctuations," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 483-491.

    More about this item

    Keywords

    Business cycles;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fednrp:9211. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gabriella Bucciarelli (email available below). General contact details of provider: https://edirc.repec.org/data/frbnyus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.