On the relationship between impulse response analysis, innovation accounting and Granger causality
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Publication:1318524
DOI10.1016/0165-1765(93)90080-VzbMath0791.62100OpenAlexW1989622089MaRDI QIDQ1318524
Jean-Marie Dufour, David Tessier
Publication date: 26 April 1994
Published in: Economics Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-1765(93)90080-v
auxiliary variablesVAR modelsimpulse responsesvector autoregressive modelsnumerical illustrationsecond order stationary processesgeneral characterization of Granger non-causalitymoving average characterizations
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
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Cites Work
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- Causality in temporal systems. Characterizations and a Survey
- Inference in dynamic models containing 'surprise' variables
- Testing Causality Between Two Vectors in Multivariate Autoregressive Moving Average Models
- Feedback between stationary stochastic processes
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods