Persistent Stochastic Shocks in a New Keynesian Model with Uncertainty

• Κύριος συγγραφέας: Kranz, Tobias (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler, 2017.
• Σειρά: BestMasters
• Θέματα: Economic theory.; Macroeconomics.; Economics.; Macroeconomics/Monetary Economics//Financial Economics.; Economic Theory/Quantitative Economics/Mathematical Methods.

 The book introduces the New Keynesian framework, historically through a literature overview and through a step-by-step derivation of a New Keynesian Phillips curve, an intertemporal IS curve, and a targeting rule for the central bank. This basic version is then expanded by introducing cost and demand shocks and uncertainty. The latter enters the model via second order Taylor approximation instead of linearization. Bringing all equations together results in an equilibrium condition which is simulated with a wide range of parameter values, including possible crisis scenarios. The author finds that accounting for uncertainty – regarding growth and inflation expectations – can lead to lower nominal interest rates set by the central bank. Contents · Historical recapitulation of DSGE Modeling · Derivation of a basic New Keynesian Model · Augmentation with persistent shocks and uncertainty · Comparative statics and a wide range of numerical simulations · Mathematical concepts and background information in the appendix Target Groups · Researchers and graduate students in macroeconomics and monetary policy · Managers and practitioners in the fields of monetary economics The Author Tobias Kranz obtained his Master of Science degree in Economics at the University of Trier in 2015. He has been working as postgraduate at the chair of Empirical Economics (University of Trier) since 2016. . 

 Historical recapitulation of DSGE Modeling -- Derivation of a basic New Keynesian Model -- Augmentation with persistent shocks and uncertainty -- Comparative statics and a wide range of numerical simulations -- Mathematical concepts and background information in the appendix.