Semi-Parametric Estimates of Taylor Rules for a Small, Open Economy – Evidence from Switzerland
Thomas Nitschka and
Markov Nikolay
Additional contact information
Markov Nikolay: Pictet Asset Management,Geneva, Switzerland
German Economic Review, 2016, vol. 17, issue 4, 478-490
Abstract:
This article estimates the policy reaction function of the Swiss National Bank (SNB) using real-time internal inflation forecasts and output gap estimates from 2000 to 2012. We analyze potential nonlinearities of policy rate responses to economic fundamentals using a novel semiparametric approach. We find a linear response of the SNB’s policy rate to inflation forecasts but a strong nonlinear response of the policy rate to the output gap and exchange rate changes. This finding suggests that the SNB reacts to extreme movements of these variables if they become a concern for price stability and economic activity.
Keywords: Taylor rules; real-time data; nonlinearity; semiparametricmodelling (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1111/geer.12080 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
Journal Article: Semi-Parametric Estimates of Taylor Rules for a Small, Open Economy – Evidence from Switzerland (2016) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:germec:v:17:y:2016:i:4:p:478-490
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/ger/html
DOI: 10.1111/geer.12080
Access Statistics for this article
German Economic Review is currently edited by Peter Egger, Almut Balleer, Jesus Crespo-Cuaresma, Mario Larch, Aderonke Osikominu and Georg Wamser
More articles in German Economic Review from De Gruyter
Bibliographic data for series maintained by Peter Golla ().