IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/0006.html
   My bibliography  Save this paper

A Review of Cyclical Indicators for the United States: Preliminary Results

Author

Listed:
  • Victor Zarnowitz

Abstract

This paper represents a very early progress report on a new study of business cycle indicators for the United States. Our host organization, CIRET, is concerned with research on surveys of economic tendencies that cover broad areas of business, investment, and consumer behavior. These inquiries yield mainly qualitative data on plans and expectations of economic decision-making units. Such data are aggregated and also in a sense quantified in form of diffusion indexes (the Ifo Business Test and its components may serve as examples), but they are basically limited to showing only the direction and not the size of changes in the economic variables covered. A major purpose of compiling and analyzing these diffusion measures is to improve prediction of cyclical movements in business activity. This objective is the same as that pursued in the National Bureau studies of quantitative business cycle indicators -- the latest of which is the project to be discussed in this paper. Appraisals of the predictive records and potentials of these two time series data sets (the cyclical indicators and the expectational diffusion indexes) are therefore definitely an appropriate subject for consideration in this conference.

Suggested Citation

  • Victor Zarnowitz, 1973. "A Review of Cyclical Indicators for the United States: Preliminary Results," NBER Working Papers 0006, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:0006
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w0006.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Boriss Siliverstovs, 2013. "Do business tendency surveys help in forecasting employment?: A real-time evidence for Switzerland," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 129-151.
    2. Boriss Siliverstovs, 2010. "Assessing Predictive Content of the KOF Barometer in Real Time," KOF Working papers 10-249, KOF Swiss Economic Institute, ETH Zurich.
    3. Vojtech Benda & Lubos Ruzicka, 2007. "Short-term Forecasting Methods Based on the LEI Approach: The Case of the Czech Republic," Research and Policy Notes 2007/01, Czech National Bank.

    More about this item

    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:nbr:nberwo:0006. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.