Hamilton Galindo Gil: Dynamic Stochastic General Equilibrium Models
Dynamic Stochastic General Equilibrium Models
Buch
- Real Business Cycles Models: Closed and Open Economy
lieferbar innerhalb 2-3 Wochen
(soweit verfügbar beim Lieferanten)
(soweit verfügbar beim Lieferanten)
EUR 106,66*
Verlängerter Rückgabezeitraum bis 31. Januar 2025
Alle zur Rückgabe berechtigten Produkte, die zwischen dem 1. bis 31. Dezember 2024 gekauft wurden, können bis zum 31. Januar 2025 zurückgegeben werden.
- Springer Nature Switzerland, 07/2024
- Einband: Gebunden, HC runder Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9783031581045
- Bestellnummer: 11925618
- Umfang: 480 Seiten
- Auflage: 2024
- Gewicht: 881 g
- Maße: 241 x 160 mm
- Stärke: 32 mm
- Erscheinungstermin: 24.7.2024
- Serie: Springer Texts in Business and Economics
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
This textbook guides the student step-by-step in developing and solving a DSGE (Dynamic Stochastic General Equilibrium) model not only from the technical and conceptual aspects but also through the simulation process of each model. Characterized by a learning-by-doing approach, the book is set apart from the extant textbooks in three ways. First, it performs all the algebra associated with each model, such as the calculation of steady-state and the log-linearization of the model. Second, each model developed has been generated in Dynare, and every chapter is accompanied by a set of codes (mod-files and m-files) that the reader can use to replicate the model developed in every chapter. Finally, the models considered are toy models in the closed and open economy, which allows the student to learn the basic lessons and understand the fundamental relationships of the variables. All of this prepares the student to deal with more complex models.This book is intended for advanced undergraduate or beginning graduate courses in economics, finance, or applied mathematics, as well as practitioners in central banks that use these models daily in the preparation of forecasts or simulations of aggregate variables.