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Stochastic dynamic macroeconomics : theory and empirical evidence /

This is a book on stochastic dynamic macroeconomics from a Keynesian perspective. It shows that including Keynesian features in intertemporal models considerably contributes to resolve major puzzles arising in the context of the Dynamic General Equilibrium (DGE) model. It also demonstrates that incl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gong, Gang, 1959-
Otros Autores: Semmler, Willi
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford ; New York : Oxford University Press, 2006.
Colección:OUP E-Books.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Gong, Gang,  |d 1959- 
245 1 0 |a Stochastic dynamic macroeconomics :  |b theory and empirical evidence /  |c Gang Gong, Willi Semmler. 
260 |a Oxford ;  |a New York :  |b Oxford University Press,  |c 2006. 
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504 |a Includes bibliographical references (pages 189-199) and index. 
588 0 |a Print version record. 
505 0 |a Introduction and Overview; 1. Solution Methods of Stochastic Dynamic Models; 2. Solving a Prototype Stochastic Dynamic Model; 3. Estimating and Evaluating the Stochastic Dynamic Model; 4. Real Business Cycles: Theory and Solutions; 5. Empirics of the Standard Real Business Cycle Model; 6. Asset Market Implications of Real Businss Cycles; 7. Multiple Equilibria and History Dependence; 8. Business Cycles with a Nonclearing Labor Market; 9. Monopolistic Competition, Nonclearing Markets, and Technology Shocks; 10. Reflections and Conclusions; Notes; Bibliography; Index; A; B; C; D; E; F. 
520 |a This is a book on stochastic dynamic macroeconomics from a Keynesian perspective. It shows that including Keynesian features in intertemporal models considerably contributes to resolve major puzzles arising in the context of the Dynamic General Equilibrium (DGE) model. It also demonstrates that including microeconomic intertemporal behavior of economic agents in macroeconomics is not inconsistent with Keynesian economics. Whereas the first two parts of the book are technically and empirically oriented by elaborating on solution and estimation methods to bring dynamic macroeconomic theory closer to the time series data, the part three of the book uses those tools and addresses major issues in contemporary dynamic macroeconomics. In pursuing those issues the book stresses-as in the New Keynesian literature-nominal and real rigidities. Yet, beyond the latter type of literature-and in contrast to the DGE model -the here presented modeling approach admits open ended dynamics and multiple equilibria, more realistic asset market features, nonclearing labor market, and explores the role of both demand and technology shocks on employment.; Central for those results is a new methodological idea pertaining to adaptive optimization where agents can reoptimize once they have received and learned about market constraints. Overall, the book is self-contained by including the appropriate solution and estimation methods which brings the theory closer to the time series data. It contains a modern treatment of dynamic macroeconomics for first and second year graduate students. 
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