A research strategy is suggested that separates the issue of inference from the problems of prediction or of quantitative policy analysis of an empirical parametric model and illustrates a new methodology that enables this in a test for prima facie causality. Unlike the conventional parametric test, the more powerful multiple rank F test is invariant to monotonic transformations of the variables and independent of the error distribution. Employing this test, the Wagnerian hypothesis, supported by conventional parametric analysis, is rejected and the conventional Keynesian theory is accepted. Copyright 1990 by MIT Press.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
Volume (Year): 72 (1990) Issue (Month): 1 (February) Pages: 87-95 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)