A linear theory for noncausality
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Abstract
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Note: In : Econometrica, 53(1), 157-175, 1985
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Citations
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Cited by:
- Andrea Silvestrini & David Veredas, 2008.
"Temporal Aggregation Of Univariate And Multivariate Time Series Models: A Survey,"
Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 458-497, July.
- Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: A survey," Temi di discussione (Economic working papers) 685, Bank of Italy, Economic Research and International Relations Area.
- Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: a survey," ULB Institutional Repository 2013/136205, ULB -- Universite Libre de Bruxelles.
- SILVESTRINI, Andrea & VEREDAS, David, 2009. "Temporal aggregation of univariate and multivariate time series models: A survey," LIDAM Reprints CORE 2013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Tomasz Woźniak, 2018.
"Granger-causal analysis of GARCH models: A Bayesian approach,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(4), pages 325-346, April.
- Tomasz Wozniak, 2015. "Granger-causal analysis of GARCH models: a Bayesian approach," Department of Economics - Working Papers Series 1194, The University of Melbourne.
- Hendry, David F & Ericsson, Neil R, 1991.
"An Econometric Analysis of U.K. Money Demand in 'Monetary Trends in the United States and the United Kingdom' by Milton Friedman and Anna Schwartz,"
American Economic Review, American Economic Association, vol. 81(1), pages 8-38, March.
- Neil R. Ericsson & David F. Hendry, 1989. "An econometric analysis of UK money demand in MONETARY TRENDS IN THE UNITED STATES AND THE UNITED KINGDOM by Milton Friedman and Anna J. Schwartz," International Finance Discussion Papers 355, Board of Governors of the Federal Reserve System (U.S.).
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