Testing for common cycles in non-stationary VARs with varied frecquency data
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DOI: 10.26481/umagsb.2013002
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- Thomas B. Götz & Alain Hecq & Jean-Pierre Urbain, 2013. "Testing for Common Cycles in Non-Stationary VARs with Varied Frequency Data," Advances in Econometrics, in: VAR Models in Macroeconomics – New Developments and Applications: Essays in Honor of Christopher A. Sims, volume 32, pages 361-393, Emerald Group Publishing Limited.
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Cited by:
- Gianluca Cubadda & Alain Hecq, 2021. "Reduced Rank Regression Models in Economics and Finance," CEIS Research Paper 525, Tor Vergata University, CEIS, revised 08 Nov 2021.
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- Götz, T.B. & Hecq, A.W., 2013. "Nowcasting causality in mixed frequency vector autoregressive models," Research Memorandum 050, Maastricht University, Graduate School of Business and Economics (GSBE).
- Hecq, A.W. & Götz, T.B. & Urbain, J.R.Y.J., 2012.
"Real-time forecast density combinations (forecasting US GDP growth using mixed-frequency data),"
Research Memorandum
021, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2014. "Combining distributions of real-time forecasts: An application to U.S. growth," Research Memorandum 027, Maastricht University, Graduate School of Business and Economics (GSBE).
- del Barrio Castro, Tomás & Hecq, Alain, 2016.
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- Tomás del Barrio Castro & Alain Hecq, 2016. "Testing for Deterministic Seasonality in Mixed-Frequency VARs," DEA Working Papers 76, Universitat de les Illes Balears, Departament d'Economía Aplicada.
- Eric Ghysels & J. Isaac Miller, 2014.
"On the Size Distortion from Linearly Interpolating Low-frequency Series for Cointegration Tests,"
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- Eric Ghysels & J. Isaac Miller, 2014. "On the Size Distortion from Linearly Interpolating Low-frequency Series for Cointegration Tests," Working Papers 1403, Department of Economics, University of Missouri.
- Eric Ghysels & J. Isaac Miller, 2015.
"Testing for Cointegration with Temporally Aggregated and Mixed-Frequency Time Series,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 36(6), pages 797-816, November.
- Eric Ghysels & J. Isaac Miller, 2013. "Testing for Cointegration with Temporally Aggregated and Mixed-frequency Time Series," Working Papers 1307, Department of Economics, University of Missouri, revised 07 May 2014.
- Ghysels, Eric & Miller, J. Isaac, 2013. "Testing for Cointegration with Temporally Aggregated and Mixed-frequency Time Series," CEPR Discussion Papers 9654, C.E.P.R. Discussion Papers.
- Thomas B. Götz & Alain W. Hecq, 2019.
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- Marçal, Emerson Fernandes & Zimmermann, Beatrice Aline & Mendonça, Diogo de Prince & Merlin, Giovanni Tondin, 2015.
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- Diogo De Prince Mendonça & Emerson Fernandes Marçal & Beatrice Zimmermann & Giovanni Merlin, 2016. "Does Mixed Frequency Vector Error Correction Model Add Relevant Information To Exchange Misalignment Calculus? Evidence For United States," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 043, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
- Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2016.
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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, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2015. "Testing for Granger causality in large mixed-frequency VARs," Discussion Papers 45/2015, Deutsche Bundesbank.
- 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).
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- Götz, Thomas B. & Hecq, Alain & Urbain, Jean-Pierre, 2016. "Combining forecasts from successive data vintages: An application to U.S. growth," International Journal of Forecasting, Elsevier, vol. 32(1), pages 61-74.
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JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2013-03-23 (Econometrics)
- NEP-ETS-2013-03-23 (Econometric Time Series)
- NEP-ETS-2014-02-02 (Econometric Time Series)
- NEP-FOR-2013-03-23 (Forecasting)
- NEP-FOR-2014-02-02 (Forecasting)
- NEP-HIS-2014-02-02 (Business, Economic and Financial History)
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