Economic growth : theory and numerical solution methods
著者
書誌事項
Economic growth : theory and numerical solution methods
（Springer texts in business and economics）
Springer, c2022
3rd ed
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Introduction.- The Neoclassical GrowthModel Under a Constant Savings Rate.- Optimal Growth: Continuous Time Analysis.- Optimal Growth: Discrete Time Analysis.- Numerical Solution Methods.- Endogenous Growth Models.- Additional Endogenous Growth Models.- Growth in Monetary Economies: Steady-State Analysis of Monetary Policy.- Transitional Dynamics in Monetary Economies: Numerical Solutions.- Empirical Methods 1: Frequentist Estimation.- Empirical Methods 2: Bayesian Estimation.- Mathematical Appendix.
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