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Results 1-10 of 191.
Year of PublicationTitleAuthor(s)
2024Surrogate modelling of a detailed farm‐level model using deep learningShang, Linmei; Wang, Jifeng; Schäfer, David; Heckelei, Thomas; Gall, Juergen; Appel, Franziska; Storm, Hugo
2024Forecasting economic activity using a neural network in uncertain times: Monte Carlo evidence and application to the German GDPHoltemöller, Oliver; Kozyrev, Boris
2024No more cost in translation: Validating open-source machine translation for quantitative text analysisLicht, Hauke; Sczepanski, Ronja; Laurer, Moritz; Bekmuratovna, Ayjeren
2024Who are they talking about? Detecting mentions of social groups in political texts with supervised learningLicht, Hauke; Sczepanksi, Ronja
2024Adoption and diffusion of blockchain technologyGschnaidtner, Christoph; Dehghan, Robert; Hottenrott, Hanna; Schwierzy, Julian
2023Artificial Intelligence and the Economics of Decision-MakingNaudé, Wim
2023Whose Inflation Rates Matter Most? A DSGE Model and Machine Learning Approach to Monetary Policy in the Euro AreaStempel, Daniel; Zahner, Johannes
2023Forecasting Economic Activity with a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to German GDPHoltemöller, Oliver; Kozyrev, Boris
2023Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughsFoltas, Alexander
2023Whose inflation rates matter most? A DSGE model and machine learning approach to monetary policy in the Euro areaStempel, Daniel; Zahner, Johannes