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Masters Graduates

in Applied Econometrics and Forecasting

AUTHOR / TITLE TYPE
Luis Seibl
Window Size and Forecast Accuracy: Machine Learning for U.S. Inflation in a Data-Rich Environment.
Thesis See
Gerrit Willem Gijs Nijland
The Performance of the Tabular Prior-Data Fitted Network in Volatility Forecasting: An Empirical Comparison with HAR and Machine Learning Models
Thesis See
Majda El Oumami
Gender Activity Rate Gaps in Morocco: A Spatial Econometric Perspective
Thesis See
Mateus José Manuel Maquiadi
THE EFFECTIVENESS OF MONETARY POLICY IN CONTROLLING INFLATION IN ANGOLA: AN ECONOMETRIC ANALYSIS USING VAR AND LOCAL PROJECTION
Thesis See
Ernst Lucas Van Hattum
MIXED-FREQUENCY AND MARKOV-SWITCHING MODELS FOR GDP GROWTH: A COMPARATIVE ANALYSIS OF DEVELOPED AND EMERGING ECONOMIES
Thesis See