Economic Growth - Theory and Numerical Solution Methods (Hardcover, 3rd ed. 2022)

This is the third corrected and extended edition of a book on deterministic and stochastic Growth Theory and the computational methods needed to produce numerical solutions. Exogenous and endogenous growth, non-monetary and monetary models are thoroughly reviewed. Special attention is paid to the use of these models for fiscal and monetary policy analysis. Models under modern theories of the Business Cycle, New Keynesian Macroeconomics, and Dynamic Stochastic General Equilibrium models, can be all considered as special cases of economic growth models, and they can be analyzed by the theoretical and numerical procedures provided in the textbook. Analytical discussions are presented in full detail. The book is self-contained and it is designed so that the student advances in the theoretical and the computational issues in parallel. Spreadsheets are used to solve simple examples. Matlab files are provided on an accompanying website to illustrate theoretical results from all chapters as well as to simulate the effects of economic policy interventions. The logical structure of these program files is described in "Numerical exercise"-type of sections, where the output of these programs is also interpreted. The third edition corrects a few typographical errors, includes two new and original chapters on frequentist and Bayesian estimation, and improves some notation.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Texts in Business and Economics
Release date:	December 2021
First published:	2022
Authors:	Alfonso Novales • Esther Fernandez • Jesus Ruiz
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	655
Edition:	3rd ed. 2022
ISBN-13:	978-3-662-63981-8
Categories:	Books > Business & Economics > Economics > Economic theory & philosophy Books > Science & Mathematics > Mathematics > Numerical analysis Books > Business & Economics > Economics > Macroeconomics > General Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	3-662-63981-5
Barcode:	9783662639818

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