A quantitative look at the system of economic indicators
AbstractThe Bureau of Economic Analysis (BEA) regularly publishes data on the current state and anticipated future of the domestic economy. This information is frequently used, mainly in a qualitative sense, by policymakers and other economic agents to assess the direction of economic activity. This paper examines the quantitative time interrelationships between the composite economic indicators. Specifically, crosscorrelations were computed from the white noise innovations from univariate ARIMA models and used to isolate, the delay behavior and directional relation between the series pairs. The correlations were also used to specify a multivariate time series model connecting the coincident and leading indexes of economic activity.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Macroeconomics.
Volume (Year): 7 (1985)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/622617
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Marcel M, 1990. "Labour market indicators: leading indicators for employment forecasting in developing countries," ILO Working Papers 278801, International Labour Organization.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.