Testing for Volatility Changes in US Macroeconomic Time Series
Marianne Sensier () and
Dick van Dijk
Centre for Growth and Business Cycle Research Discussion Paper Series from Economics, The University of Manchester
Abstract:
We test for a change in the volatility of 214 US macroeconomic time series over the period 1959-1999. We find that about 80% of these series have experienced a break in unconditional volatility during this period. Even though more than half of the series experienced a break in conditional mean, most of the reduction in volatility appears to be due to changes in conditional volatility. Our results are robust to controlling for business cycle nonlinearity in both mean and variance. Volatility changes are more appropriately characterized as an instantaneous break rather than gradual change. Nominal variables such as inflation and interest rates experienced multiple volatility breaks and witnessed temporary increases in volatility during the 1970s. Based upon this evidence, we conclude that the increased stability of economic fluctuations in a wide-spread phenomenon.
Keywords: volatility; structural change tests; business cycle nonlinearity (search for similar items in EconPapers)
Pages: 18 pages
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
https://hummedia.manchester.ac.uk/schools/soss/cgb ... papers/dpcgbcr36.pdf (application/pdf)
Related works:
Journal Article: Testing for Volatility Changes in U.S. Macroeconomic Time Series (2004) 
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:man:cgbcrp:36
Access Statistics for this paper
More papers in Centre for Growth and Business Cycle Research Discussion Paper Series from Economics, The University of Manchester Contact information at EDIRC.
Bibliographic data for series maintained by Patrick Macnamara ().