Recursive methods offer a powerful approach for characterizing and solving complicated problems in dynamic macroeconomics. Recursive Macroeconomic Theory provides both an introduction to recursive methods and advanced material, mixing tools and sample applications. Only experience in solving practical problems fully conveys the power of the recursive approach, and the book provides many applications. This third edition offers substantial new material, with three entirely new chapters and significant revisions to others. The new content reflects recent developments in the field, further illustrating the power and pervasiveness of recursive methods. New chapters cover asset pricing empirics with possible resolutions to puzzles; analysis of credible government policy that entails state variables other than reputation; and foundations of aggregate labor supply with time averaging replacing employment lotteries. Other new material includes a multi-country analysis of taxation in a growth model, elaborations of the fiscal theory of the price level, and age externalities in a matching model.
The book is suitable for both first- and second-year graduate courses in macroeconomics and monetary economics. Most chapters conclude with exercises. Many exercises and examples use Matlab programs, which are cited in a special index at the end of the book.
Lars Ljungqvist is Professor of Economics at the Stockholm School of Economics.
Thomas J. Sargent is Berkley Professor of Economics and Business at New York University and Senior Fellow at the Hoover Institution. He was the recipient of the 2011 Nobel Prize in Economics.
深度学习宏观经济理论不得不读的书,学习本书前必须具备微积分、线性代数以及变分法等高等数学方面知识。
评分资产定价实证现在脱离理论,独立为一章,和模型不确定性结合起来讲,给E-Z效用函数以不同的解读。汉森和萨金特在模型不确定性领域的贡献甚多,不过这领域技术要求太高,研究深入不易啊。 新增劳动力供给章节,讨论微观劳动力供给弗里希弹性与宏观劳动力供给弹性的差异问题。此...
评分深度学习宏观经济理论不得不读的书,学习本书前必须具备微积分、线性代数以及变分法等高等数学方面知识。
评分深度学习宏观经济理论不得不读的书,学习本书前必须具备微积分、线性代数以及变分法等高等数学方面知识。
评分深度学习宏观经济理论不得不读的书,学习本书前必须具备微积分、线性代数以及变分法等高等数学方面知识。
Many nice intro & dissection of models. But do not neglect reading those original papers!
评分LS
评分Many nice intro & dissection of models. But do not neglect reading those original papers!
评分不是经济学教材,更像是计算数学。基本没有经济学思想,而是一个个模型的介绍,适合做工具书。
评分不是经济学教材,更像是计算数学。基本没有经济学思想,而是一个个模型的介绍,适合做工具书。
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