期刊名称:CORE Discussion Papers / Center for Operations Research and Econometrics (UCL), Louvain
出版年度:2009
卷号:1
出版社:Center for Operations Research and Econometrics (UCL), Louvain
摘要:This paper evaluates the predictive power of different information sets for the
European Central Bank (ECB) interest rate setting behavior. We employ an ordered
probit model, i.e. a limited dependent variable framework, to take into account the
discreteness displayed by policy rate changes. The results show that the forecasting
ability of standard Taylor-type variables, such as inflation and output gap, is fairly
low both in-sample and out-of-sample, and is comparable to the performance of the
random walk model. Instead by using broader information sets that include
measures of core inflation, exchange rates and monetary aggregates, the accuracy
of the forecasts about ECB future actions substantially improves. Moreover, ECB
rhetoric contributes to a better understanding of its policy reaction function, and
ECB statements complement the information contained in actual macro figures.
Finally, we find that that the ECB has been fairly successful in educating the public
to anticipate the overall future direction of its monetary policy, but has been less
successful in signaling the exact timing of rate changes.