Access Statistics for Thomas Götz

Author contact details at EconPapers.

Working Paper File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
Combining distributions of real-time forecasts: An application to U.S. growth 0 0 0 76 0 4 5 130
Forecasting Mixed Frequency Time Series with ECM-MIDAS Models 0 0 3 249 3 13 31 699
Google data in bridge equation models for German GDP 0 0 1 103 0 5 12 205
Granger causality testing in mixed-frequency Vars with possibly (co)integrated processes 0 0 1 89 1 5 11 147
Large mixed-frequency VARs with a parsimonious time-varying parameter structure 0 2 4 69 0 5 13 168
Nowcasting causality in mixed frequency vector autoregressive models 0 0 0 173 3 7 8 190
Real-time forecast density combinations (forecasting US GDP growth using mixed-frequency data) 0 0 0 96 3 8 13 338
Testing for Granger Causality in Large Mixed-Frequency VARs 0 0 0 37 0 1 2 106
Testing for Granger causality in large mixed-frequency VARs 0 0 0 36 5 11 20 124
Testing for Granger causality in large mixed-frequency VARs 0 0 2 134 1 4 9 191
Testing for common cycles in non-stationary VARs with varied frecquency data 0 0 0 188 3 5 6 262
Total Working Papers 0 2 11 1,250 19 68 130 2,560


Journal Article File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
An unconventional weekly economic activity index for Germany 0 1 4 36 3 11 31 119
Combining forecasts from successive data vintages: An application to U.S. growth 0 0 0 25 1 4 8 81
Forecasting Mixed‐Frequency Time Series with ECM‐MIDAS Models 1 2 4 46 1 6 14 142
Google data in bridge equation models for German GDP 0 0 3 87 0 2 9 296
Granger Causality Testing in Mixed‐Frequency VARs with Possibly (Co)Integrated Processes 0 0 1 13 1 5 8 50
Nowcasting causality in mixed frequency vector autoregressive models 0 0 0 46 2 9 15 165
Testing for Granger causality in large mixed-frequency VARs 0 0 0 34 1 12 16 176
Total Journal Articles 1 3 12 287 9 49 101 1,029


Statistics updated 2026-03-04