On the Reinterpretation of Money Demand Regressions
A stylized fact concerning estimated money demand relationships is that lagged dependent variables have high explanatory power and large estimated coefficients, which is hard to explain at a theoretical level. Marvin S. Goodfriend (1985) suggests that this may be due to the presence of serially correlated measurement errors in the independent variables. The author demonstrates how consistent estimates of the short-run demand function can be obtained even if the Goodfriend hypothesis is accepted and also how the hypothesis might be tested. Application of the suggested test using the Goldfeld (1973) data set leads to decisive rejection of the hypothesis. Copyright 1994 by Ohio State University Press.
If 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.
Volume (Year): 26 (1994)
Issue (Month): 4 (November)
|Contact details of provider:|| Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-2879|
When requesting a correction, please mention this item's handle: RePEc:mcb:jmoncb:v:26:y:1994:i:4:p:851-66. 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: (Wiley-Blackwell Digital Licensing)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.