Template-Type: ReDIF-Paper 1.0

Author-Name: Katrin Woelfel
Author-X-Name-First: Katrin
Author-X-Name-Last: Woelfel

Author-Name: Christoph S. Weber
Author-X-Name-First: Christoph S.
Author-X-Name-Last: Weber

Title: Searching for the FED's Reaction Function

	
Abstract: There is still some doubt about those economic variables that really matter for the FED’s decisions. In comparison to other estimations, this study uses the approach of Bayesian Model Averaging (BMA). The estimations show that over the long run in?ation, unemployment rates, and long-term interest rates are the crucial variables in explaining the Federal Funds Rate. In the other two estimation samples, also the federal de?cit and M2 were of relevance. In addition, we present the best models in more detail. Finally, a model average is constructed via BMA. The model average substantially outperforms a simple Taylor rule.
Length: 30 pages
Creation-Date: 2014-07
File-URL: http://www.bgpe.de/texte/DP/154_WoelfelWeber.pdf
File-Format: Application/pdf
File-Function: First version, 2014
Number: 154
Classification-JEL: E43, E52, E58
Keywords: FED, Monetary Policy Reaction Functions, Model Uncertainty, Bayesian Model Averaging
Handle: RePEc:bav:wpaper:154_WoelfelWeber