Impact factors
Abstract
In this paper we discuss sensitivity of forecast with respect to the information set considered in prediction; we define a sensitivit measure called impact factor, IF. We calculate this measure in VAR processes integrated of order 0, 1 and 2. For VAR processes this measure is as simple function of the impulse response coefficients. For integrated VAR systems this measure is shown to have a direct interpretation in terms of long-run forecasts. Various applications of this concept are reviewed, including one on the interpretation and effectiveness of economics policies and one on the sensitivity of forecasts with respect to data revisions. A unified approach to inference on the IF is given, showing under what circumstances standard asymptotic inference can be conducted also in systems integrated of order 1 and 2.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 128 (2005)
Issue (Month): 1 (September)
Pages: 31-68
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Web page: http://www.elsevier.com/locate/jeconom
Related research
Keywords:Other versions of this item:
- Omtzigt Pieter & Paruolo Paolo, 2002. "Impact factors," Economics and Quantitative Methods qf0203, Department of Economics, University of Insubria.
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Paolo Paruolo, 2006.
"The Likelihood Ratio Test for the Rank of a Cointegration Submatrix,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 68(s1), pages 921-948, December.
- Paruolo Paolo, 2004. "The likelihood ratio test for the rank of a cointegration submatrix," Economics and Quantitative Methods qf04024, Department of Economics, University of Insubria.
- Paruolo Paolo, 2004.
"Common trends and cycles in I(2) VAR systems,"
Economics and Quantitative Methods
qf0217tris, Department of Economics, University of Insubria.
- Paruolo, Paolo, 2006. "Common trends and cycles in I(2) VAR systems," Journal of Econometrics, Elsevier, vol. 132(1), pages 143-168, May.
- Paruolo Paolo, 2003. "Common trends and cycles in I(2) VAR systems," Economics and Quantitative Methods qf0217bis, Department of Economics, University of Insubria.
- Fanelli, Luca & Paruolo, Paolo, 2007.
"Speed of Adjustment in Cointegrated Systems,"
MPRA Paper
9174, University Library of Munich, Germany.
- Fanelli, Luca & Paruolo, Paolo, 2010. "Speed of adjustment in cointegrated systems," Journal of Econometrics, Elsevier, vol. 158(1), pages 130-141, September.
- Paruolo Paolo, 2002. "Testing for common trends in conditional I(2) VAR models," Economics and Quantitative Methods qf0216, Department of Economics, University of Insubria.
- Paolo Paruolo & Ben Murphy & Greet Janssen-Maenhout, 2012.
"Do Emissions and Income Have a Common Trend? A Country-Specific, Time-Series, Global Analysis, 1970-2008,"
Working Paper Series
32_12, The Rimini Centre for Economic Analysis.
- Paolo Paruolo & Ben Murphy & Greet Janssens-Maenhout, 2011. "Do emissions and income have a common trend? A country-specific, time-series, global analysis, 1970-2008," Economics and Quantitative Methods qf1113, Department of Economics, University of Insubria.
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