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Dynamic General Equilibrium Modeling : Computational Methods and Applications / by Burkhard Heer, Alfred Maußner
(Springer Texts in Business and Economics. ISSN:21924341)

Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2024
Edition	3rd ed. 2024.
Authors	*Heer, Burkhard author Maußner, Alfred author SpringerLink (Online service)

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Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00195892		Springer Economics and Finance eBooks (電子ブック)	9783031516818

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Material Type	E-Book
Media type	機械可読データファイル
Size	XLIII, 912 p. 129 illus., 87 illus. in color : online resource
Notes	Part I: Representative Agent Models: Basic Models -- Perturbation Methods: Framework and Tools -- Perturbation Methods: Solutions -- Perturbation Methods: Model Evaluation and Applications -- Weighted Residuals Methods -- Simulation-Based Methods -- Discrete State Space Value Function Iteration -- Part II: Heterogenous Agent Models: Computation of Stationary Distributions -- Dynamics of the Distribution Function -- Overlapping Generations Models with Perfect Foresight -- OLG Models with Uncertainty -- Part III: Numerical Methods: Linear Algebra -- Function Approximation -- Differentiation and Integration -- Nonlinear Equations and Optimization -- Difference Equations and Stochastic Processes 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 tohigh-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. "This book does not only an excellent job in explaining the existing tools, but it also teaches the reader on how to write his/her own programs and it provides the reader with the tools to help advance the state of the art of dynamic macroeconomics." Wouter J. Den Haan, London School of Economics ”... provides the reader with exactly the necessary computational tools to solve the dynamic general equilibrium models macroeconomists care about. It is therefore the perfect complement to Stokey, Lucas and Prescott's and Sargent and Ljungqvist's theoretical treatment of modern macroeconomics." Dirk Krueger, University of Pennsylvania HTTP:URL=https://doi.org/10.1007/978-3-031-51681-8
Subjects	LCSH:Economics -- Computer programs All Subject Search LCSH:Econometrics LCSH:Macroeconomics LCSH:Economic development LCSH:Computer science FREE:Computational Economics FREE:Quantitative Economics FREE:Macroeconomics and Monetary Economics FREE:Economic Growth FREE:Computer Science
Classification	LCC:HB143.5 DC23:3,300,113
ID	8000094904
ISBN	9783031516818