Low-Frequency Estimates of Long-Run Relationships in Macroeconomics

Working Paper: NBER ID: w1162

Authors: Bennett T. McCallum

Abstract: A number of recent studies have attempted to test propositions concerning "long runt" economic relationships by means of frequency-domain time series techniques that concentrate attention on low frequency co-movements of variables.The present paper emphasizes that many of these propositions involve expectational relationships that are not inherently related to specific frequencies or periodicities. Thus the association of low-frequency time series test statistics with long-run economic propositions is not generally warranted. That such an association can be misleading is demonstrated by analysis of examples taken from notable papers by Geweke, Lucas, and Summers.

Keywords: No keywords provided

JEL Codes: No JEL codes provided


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
expected inflation rate (E31)interest rates (E43)
interest rates (E43)expected inflation rate (E31)
low-frequency estimators (C51)misrepresentation of Fisher effect (E43)
Lucas's approach (Y20)invalid evidence for Quantity Theory of Money (E41)
low-frequency measures (C20)incorrect conclusions about long-run neutrality (E19)

Back to index