Browsen in EconStor gesamt nach Autor:innen Hinterlang, Natascha


Zeige Ergebnisse 1 bis 11 von 11
ErscheinungsjahrTitelAutor:innen
2019Predicting Monetary Policy Using Artificial Neural NetworksHinterlang, Natascha
2020Predicting monetary policy using artificial neural networksHinterlang, Natascha
2020Classification of monetary and fiscal dominance regimes using machine learning techniquesHinterlang, Natascha; Hollmayr, Josef
2021Gauging the effects of the German COVID-19 fiscal stimulus packageHinterlang, Natascha; Moyen, Stéphane; Röhe, Oke; Stähler, Nikolai
2021Optimal monetary policy using reinforcement learningHinterlang, Natascha; Tänzer, Alina
2021Using energy and emissions taxation to finance labor tax reductions in a multi-sector economy: An assessment with EMuSeHinterlang, Natascha; Martin, Anika; Röhe, Oke; Stähler, Nikolai; Strobel, Johannes
2021Classification of monetary and fiscal dominance regimes using machine learning techniquesHinterlang, Natascha; Hollmayr, Josef
2022Carbon pricing, border adjustment and climate clubs: An assessment with EMuSeErnst, Anne; Hinterlang, Natascha; Mahle, Alexander; Stähler, Nikolai
2023Climate Clubbing, Trade and the Natural Interest RateErnst, Anne; Stähler, Nikolai; Hinterlang, Natascha
2023The Environmental Multi-Sector DSGE model EMuSe: A technical documentationHinterlang, Natascha; Martin, Anika; Röhe, Oke; Stähler, Nikolai; Strobel, Johannes
2024On curbing the rise in energy prices: An examination of different mitigation approachesHinterlang, Natascha; Jäger, Marius; Stähler, Nikolai; Strobel, Johannes