Comparing the CCA Subspace Method to Pseudo Maximum Likelihood Methods in the case of No Exogenous Inputs
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DOI: 10.1111/j.1467-9892.2005.00441.x
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References listed on IDEAS
- Bauer, Dietmar & Wagner, Martin, 2002.
"Estimating cointegrated systems using subspace algorithms,"
Journal of Econometrics, Elsevier, vol. 111(1), pages 47-84, November.
- Dietmar Bauer & Martin Wagner, 2000. "Estimating Cointegrated Systems Using Subspace Algorithms," Econometric Society World Congress 2000 Contributed Papers 0293, Econometric Society.
- Dahlen, Anders & Scherrer, Wolfgang, 2004. "The relation of the CCA subspace method to a balanced reduction of an autoregressive model," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 293-312.
- Robinson, Peter M, 1988. "The Stochastic Difference between Econometric Statistics," Econometrica, Econometric Society, vol. 56(3), pages 531-548, May.
- Bauer, Dietmar, 2008.
"Using Subspace Methods For Estimating Arma Models For Multivariate Time Series With Conditionally Heteroskedastic Innovations,"
Econometric Theory, Cambridge University Press, vol. 24(4), pages 1063-1092, August.
- Dietmar Bauer, 2004. "Using Subspace Methods for Estimating ARMA Models for Multivariate Time Series with Conditionally Heteroskedastic Innovations," Cowles Foundation Discussion Papers 1452, Cowles Foundation for Research in Economics, Yale University.
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- Alfredo García‐Hiernaux, 2011.
"Forecasting linear dynamical systems using subspace methods,"
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- Alfredo García-Hiernaux, 2009. "Forecasting linear dynamical systems using subspace methods," Documentos de Trabajo del ICAE 2009-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Bauer, Dietmar, 2009. "Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 397-421, March.
- Izquierdo, Segismundo S. & Hernández, Cesáreo & del Hoyo, Juan, 2006. "Forecasting VARMA processes using VAR models and subspace-based state space models," MPRA Paper 4235, University Library of Munich, Germany.
- Christian Kascha, 2012.
"A Comparison of Estimation Methods for Vector Autoregressive Moving-Average Models,"
Econometric Reviews, Taylor & Francis Journals, vol. 31(3), pages 297-324.
- Christian Kascha, 2007. "A Comparison of Estimation Methods for Vector Autoregressive Moving-Average Models," Economics Working Papers ECO2007/12, European University Institute.
- Bauer, Dietmar & Wagner, Martin, 2002.
"Estimating cointegrated systems using subspace algorithms,"
Journal of Econometrics, Elsevier, vol. 111(1), pages 47-84, November.
- Dietmar Bauer & Martin Wagner, 2000. "Estimating Cointegrated Systems Using Subspace Algorithms," Econometric Society World Congress 2000 Contributed Papers 0293, Econometric Society.
- Kascha, Christian & Mertens, Karel, 2009.
"Business cycle analysis and VARMA models,"
Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 267-282, February.
- Christian Kascha & Karel Mertens, 2006. "Business Cycle Analysis and VARMA models," Economics Working Papers ECO2006/37, European University Institute.
- Christian Kascha & Karel Mertens, 2008. "Business cycle analysis and VARMA models," Working Paper 2008/05, Norges Bank.
- Bauer, Dietmar, 2008.
"Using Subspace Methods For Estimating Arma Models For Multivariate Time Series With Conditionally Heteroskedastic Innovations,"
Econometric Theory, Cambridge University Press, vol. 24(4), pages 1063-1092, August.
- Dietmar Bauer, 2004. "Using Subspace Methods for Estimating ARMA Models for Multivariate Time Series with Conditionally Heteroskedastic Innovations," Cowles Foundation Discussion Papers 1452, Cowles Foundation for Research in Economics, Yale University.
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