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Thomas Götz

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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

Email:
Homepage:
Postal Address: P.O. Box 616 6200 MD Maastricht The Netherlands
Phone: +31 43 388 3578

Affiliation

Vakgroep Kwantitatieve Economie
School of Business and Economics
Maastricht University
Location: Maastricht, Netherlands
Homepage: http://www.maastrichtuniversity.nl/web/Faculties/SBE/Theme/Departments/QuantitativeEconomics.htm
Email:
Phone: +31 43 388 3834
Fax: +31 43 388 4874
Postal: P.O. Box 616, 6200 MD Maastricht
Handle: RePEc:edi:dqmaanl (more details at EDIRC)

Works

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Working papers

  1. Götz T.B. & Hecq A.W., 2013. "Nowcasting causality in mixed frequency vector autoregressive models," Research Memorandum, Maastricht University, Graduate School of Business and Economics (GSBE) 050, 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, Maastricht University, Graduate School of Business and Economics (GSBE) 002, Maastricht University, Graduate School of Business and Economics (GSBE).
  3. Götz Thomas & Hecq Alain & Urbain Jean-Pierre, 2012. "Forecasting Mixed Frequency Time Series with ECM-MIDAS Models," Research Memorandum, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR) 012, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  4. Götz Thomas B. & Hecq Alain & Urbain Jean-Pierre, 2012. "Real-Time Forecast Density Combinations (Forecasting US GDP Growth Using Mixed-Frequency Data)," Research Memorandum, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR) 021, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).

Articles

  1. Götz, Thomas B. & Hecq, Alain, 2014. "Nowcasting causality in mixed frequency vector autoregressive models," Economics Letters, Elsevier, Elsevier, vol. 122(1), pages 74-78.

NEP Fields

2 papers by this author were announced in NEP, and specifically in the following field reports (number of papers):
  1. NEP-ETS: Econometric Time Series (2) 2014-02-02 2014-02-02. Author is listed
  2. NEP-FOR: Forecasting (1) 2014-02-02. Author is listed
  3. NEP-HIS: Business, Economic & Financial History (1) 2014-02-02. Author is listed

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