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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
Justus Johannes Maria Kleinsman
Are Tax Cuts Still Expansionary at the Zero Lower Bound? Corrected Local Projections and Bootstrap Inference for UK Narrative Tax Reforms
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