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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Cited by:
- Thomas B. Götz & Alain W. Hecq, 2019.
"Granger Causality Testing in Mixed‐Frequency VARs with Possibly (Co)Integrated Processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 40(6), pages 914-935, November.
- Hecq, Alain & Goetz, Thomas, 2018. "Granger causality testing in mixed-frequency Vars with possibly (co)integrated processes," MPRA Paper 87746, University Library of Munich, Germany.
- del Barrio Castro, Tomás & Hecq, Alain, 2016.
"Testing for deterministic seasonality in mixed-frequency VARs,"
Economics Letters, Elsevier, vol. 149(C), pages 20-24.
- 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.
- 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.
- 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.
- 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.
- 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.
- Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2016.
"Testing for Granger causality in large mixed-frequency VARs,"
Journal of Econometrics, Elsevier, vol. 193(2), pages 418-432.
- 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.
- Götz, Thomas B. & Hecq, Alain, 2014.
"Nowcasting causality in mixed frequency vector autoregressive models,"
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- 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).
- Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2016.
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- Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2013. "Testing for Granger Causality with Mixed Frequency Data," CEPR Discussion Papers 9655, C.E.P.R. Discussion Papers.
- Marçal, Emerson Fernandes & Zimmermann, Beatrice Aline & Mendonça, Diogo de Prince & Merlin, Giovanni Tondin, 2015.
"Does mixed frequency vector error correction model add relevant information to exchange misalignment calculus? Evidence for United States,"
Textos para discussão
385, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
- 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].
- J. Isaac Miller, 2016.
"Conditionally Efficient Estimation of Long-Run Relationships Using Mixed-Frequency Time Series,"
Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 1142-1171, June.
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201704, Geary Institute, University College Dublin.
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- 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.
- Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2020. "Structural analysis with mixed-frequency data: A model of US capital flows," Economic Modelling, Elsevier, vol. 89(C), pages 427-443.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2013-03-23 (Econometrics)
- NEP-ETS-2014-02-02 (Econometric Time Series)
- NEP-FOR-2014-02-02 (Forecasting)
- NEP-HIS-2014-02-02 (Business, Economic & Financial History)
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