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Confidence Intervals for Univariate Impulse Responses with a Near Unit Root

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Author Info
Wright, Jonathan H

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Abstract

This article proposes a method for constructing confidence intervals for the impulse response function of a univariate time series with a near unit root. These confidence intervals control coverage, whereas the existing techniques can all have coverage far below the nominal level. I apply the proposed method to several measures of U.S. aggregate output.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 18 (2000)
Issue (Month): 3 (July)
Pages: 368-73
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Handle: RePEc:bes:jnlbes:v:18:y:2000:i:3:p:368-73

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  1. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall. [Downloadable!] (restricted)
  2. Elena Pesavento & Barbara Rossi, 2006. "Impulse Responses Confidence Intervals for Persistent Data: What Have We Learned?," Emory Economics 0603, Department of Economics, Emory University (Atlanta). [Downloadable!]
    Other versions:
  3. Jonathan H. Wright, 2000. "Exact confidence intervals for impulse responses in a Gaussian vector autoregression," International Finance Discussion Papers 682, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  4. Lutz Kilian & Silvia Goncalves, 2002. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Working Paper Series 196, European Central Bank. [Downloadable!]
    Other versions:
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