Contemporary macroeconomics is built upon microeconomic principles, with its most recent advance featuring dynamic stochastic general equilibrium models. The textbook by Heer and Maußner acquaints readers with the essential computational techniques required to tackle these models and employ them for quantitative analysis. This third edition maintains the structure of the second, dividing the content into three separate parts dedicated to representative agent models, heterogeneous agent models, and numerical methods. At the same time, every chapter has been revised and two entirely new chapters have been added.
The updated content reflects the latest advances in both numerical methods and their applications in macroeconomics, spanning areas like business-cycle analysis, economic growth theory, distributional economics, monetary and fiscal policy. The two new chapters delve into advanced techniques, including higher-order perturbation, weighted residual methods, and solutions to high-dimensional nonlinear problems. In addition, the authors present further insights from macroeconomic theory, complemented by practical applications like the Smolyak algorithm, Gorman aggregation, rare disaster models and dynamic Laffer curves. Lastly, the new edition places special emphasis on practical implementation across various programming languages; accordingly, its accompanying web page offers examples of computer code for languages such as MATLAB®, GAUSS, Fortran, Julia and Python.
The updated content reflects the latest advances in both numerical methods and their applications in macroeconomics, spanning areas like business-cycle analysis, economic growth theory, distributional economics, monetary and fiscal policy. The two new chapters delve into advanced techniques, including higher-order perturbation, weighted residual methods, and solutions to high-dimensional nonlinear problems. In addition, the authors present further insights from macroeconomic theory, complemented by practical applications like the Smolyak algorithm, Gorman aggregation, rare disaster models and dynamic Laffer curves. Lastly, the new edition places special emphasis on practical implementation across various programming languages; accordingly, its accompanying web page offers examples of computer code for languages such as MATLAB®, GAUSS, Fortran, Julia and Python.
From the reviews of the second edition:
"The book is devoted to the presentation of such methods applied to solving a variety of discrete stochastic and deterministic DGE models in infinite time horizon. The way the book is written enables to use it as a lecture book for courses on computational methods in macroeconomics or modern dynamic equilibrium modeling for graduate students. There are given many useful practical hints on using the methods in practice - this makes the book very valuable for practical users of DGE models." (Piotr Mackowiak, Zentralblatt MATH, Vol. 1200, 2011)
"The book is devoted to the presentation of such methods applied to solving a variety of discrete stochastic and deterministic DGE models in infinite time horizon. The way the book is written enables to use it as a lecture book for courses on computational methods in macroeconomics or modern dynamic equilibrium modeling for graduate students. There are given many useful practical hints on using the methods in practice - this makes the book very valuable for practical users of DGE models." (Piotr Mackowiak, Zentralblatt MATH, Vol. 1200, 2011)