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Cross-Country Evidence on Output Growth Volatility: Nonstationary Variance and GARCH Models

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Author Info
WenShwo Fang (Feng Chia University)
Stephen M. Miller (University of Connecticut and University of Nevada, Las Vegas)
ChunShen Lee (Feng Chia University)

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Abstract

This paper revisits the issue of conditional volatility in real GDP growth rates for Canada, Germany, Italy, Japan, the United Kingdom, and the United States. Previous studies find high persistence in the volatility. This paper shows that this finding largely reflects a nonstationary variance. Output growth in the six countries became noticeably less volatile over the past few decades. In this paper, we employ the modified ICSS algorithm to detect structural change in the variance of output growth. One structural break exists in each of the six countries after identifying outliers and mean shifts in the growth rates. We then use generalized autoregressive conditional heteroskedasticity ( GARCH) specifications, modeling output growth and its volatility with and without the break in volatility. The evidence shows that the time-varying variance falls sharply in Canada and Japan, and disappears entirely in Germany, Italy, the U.K. and the U.S., once we incorporate the break in the variance equation of output for the six countries. That is, the integrated GARCH (IGARCH) effect proves spurious and the GARCH model demonstrates misspecification, if researchers neglect a nonstationary variance. Moreover, we also consider the possible effects of our more correct measure of output volatility on output growth as well as the reverse effect of output growth on its volatility. The conditional standard deviation possesses no statistical significance in all countries, except a significant negative effect in Japan. The lagged growth rate of output produces significant negative and positive effects on the conditional variances in Germany and Japan, respectively. No significant effects exist in Canada, Italy, the U.K., and the U.S.

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Publisher Info
Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2007-20.

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Length: 47 pages
Date of creation: Apr 2007
Date of revision: Mar 2008
Publication status: Published in Scottish Journal of Political Economy, September 2008
Handle: RePEc:uct:uconnp:2007-20

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Related research
Keywords: Nonstationary variance; the Great Moderation; real GDP growth and volatility; modified ICSS algorithm; IGARCH effect;

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Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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  1. Giorgio Canarella & WenShwo Fang & Stephen M. Miller & Stephen K. Pollard, 2008. "Is the Great Moderation Ending? UK and US Evidence," Working papers 2008-24, University of Connecticut, Department of Economics. [Downloadable!]
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