On Granger-causality and the effect of interventions in time series
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DOI: 10.26481/umamet.2009003
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References listed on IDEAS
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Cited by:
- Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2016.
"Testing for Granger causality in large mixed-frequency VARs,"
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- Götz, T.B. & Hecq, A.W., 2014. "Testing for Granger causality in large mixed-frequency VARs," Research Memorandum 028, Maastricht University, Graduate School of Business and Economics (GSBE).
- Götz, T.B. & Hecq, A.W. & Smeekes, S., 2015. "Testing for Granger Causality in Large Mixed-Frequency VARs," Research Memorandum 036, Maastricht University, Graduate School of Business and Economics (GSBE).
- Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2015. "Testing for Granger causality in large mixed-frequency VARs," Discussion Papers 45/2015, Deutsche Bundesbank.
- José Osvaldo De Sordi & Marco Antonio Conejero & Manuel Meireles, 2016. "Bibliometric indicators in the context of regional repositories: proposing the D-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 235-258, April.
- Louis Anthony (Tony) Cox, 2013. "Improving Causal Inferences in Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 33(10), pages 1762-1771, October.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-ETS-2009-02-22 (Econometric Time Series)
- NEP-HPE-2009-02-22 (History and Philosophy of Economics)
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