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Thomas Götz

This is information that was supplied by Thomas Götz in registering through RePEc. If you are Thomas Götz , you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:Thomas
Middle Name:
Last Name:Götz
Suffix:
RePEc Short-ID:pgt4
[This author has chosen not to make the email address public]
Wilhelm-Epstein-Straße 14 60431 Frankfurt am Main Germany
Frankfurt, Germany
http://www.bundesbank.de/

: 0 69 / 95 66 - 34 55
0 69 / 95 66 30 77
Postfach 10 06 02, 60006 Frankfurt
RePEc:edi:dbbgvde (more details at EDIRC)
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  1. 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).
  2. Hecq A.W. & Urbain J.R.Y.J. & Götz T.B., 2013. "Testing for common cycles in non-stationary VARs with varied frecquency data," Research Memorandum 002, Maastricht University, Graduate School of Business and Economics (GSBE).
  3. 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).
  4. Götz Thomas & Hecq Alain & Urbain Jean-Pierre, 2012. "Forecasting Mixed Frequency Time Series with ECM-MIDAS Models," Research Memorandum 012, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  5. Götz Thomas B. & Hecq Alain & Urbain Jean-Pierre, 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).
  1. 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.
  2. Götz, Thomas B. & Hecq, Alain, 2014. "Nowcasting causality in mixed frequency vector autoregressive models," Economics Letters, Elsevier, vol. 122(1), pages 74-78.
  3. Thomas B. Götz & Alain Hecq & Jean‐Pierre Urbain, 2014. "Forecasting Mixed‐Frequency Time Series with ECM‐MIDAS Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(3), pages 198-213, 04.
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ETS: Econometric Time Series (7) 2012-03-14 2012-09-16 2014-02-02 2014-02-02 2014-09-08 2015-12-01 2016-03-06. Author is listed
  2. NEP-ECM: Econometrics (6) 2012-03-14 2012-09-16 2013-03-23 2013-10-18 2014-09-08 2014-09-08. Author is listed
  3. NEP-FOR: Forecasting (3) 2014-02-02 2014-09-08 2014-09-08. Author is listed
  4. NEP-MST: Market Microstructure (2) 2012-03-14 2014-09-08
  5. NEP-HIS: Business, Economic & Financial History (1) 2014-02-02
  6. NEP-ORE: Operations Research (1) 2014-09-08

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