Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/de-gruyter/trimmed-whittle-estimation-of-the-svar-vs-filtering-low-frequency-45ZeMtSERU
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- Publisher
- de Gruyter
- Copyright
- ©2020 Walter de Gruyter GmbH, Berlin/Boston
- ISSN
- 1558-3708
- eISSN
- 1558-3708
- DOI
- 10.1515/snde-2018-0030
- Publisher site
- See Article on Publisher Site
Abstract
AbstractThis paper shows that the trimmed Whittle estimation of the SVAR is superior to filtering (or differencing) undesired, low-frequency fluctuations that may arise in macroeconomic data. Pre-filtering destroys the low-frequency range of the spectrum, thus biasing the estimated parameters and the responses of the variables to shocks. The proposed method, by contrast, accounts for the undesired fluctuations while overcoming these drawbacks. Furthermore, the method remains reliable even when the observed low-frequency variability has been incorrectly considered as external to the SVAR. An empirical application that examines the effect of technology shocks on hours worked is provided to illustrate the results. We find the response of hours positive and similar using both long and short-run identification restrictions, thus providing a solution to a wide debate in the business cycle literature.
Journal
Studies in Nonlinear Dynamics & Econometrics – de Gruyter
Published: Feb 25, 2020
Keywords: band-pass; business cycle; frequency domain; Hodrick-Prescott, hours-worked; impulse response; C32; C51; E32; E37