Dynamic Stochastic General Equilibrium Modelling
Details
Recent episodes of financial turmoil have highlighted the need to understand how large external shocks are propagated in small open economies. This is particularly relevant in emerging economies, since these economies face additional vulnerabilities that make them very different from advanced economies. Indeed, they usually display weak fiscal, monetary and financial institutional frameworks, and have imperfect access to capital markets. This book studies Dynamic Stochastic General Equilibrium modelling and empirical applications to developed/developing economies. It consists of four self-contained chapters. Chapter 1 sets out a benchmark model with persistence mechanisms and reviews the underlying estimation/validation methods. Chapter 2 studies the relevance of direct supply side effects of monetary policy by introducing the presence of a cost channel of monetary transmission and allowing for non-separability of money and consumption in the household s utility. Chapters 3 and 4 model dollarization, as well as financial frictions including a financial accelerator , where capital financing is partly or totally in foreign currency as in Gertler et al. (2003) and Gilchrist (2003).
Autorentext
Dr Bo Yang is a Research Fellow in the School of Economics at the University of Surrey. He graduated from the University of Hull in 2003 and then completed his MSc at Queen Mary, University of London. Bo was appointed to support the research activities of the EU/ESRC-funded projects following the completion of his doctoral degree at Surrey in 2008.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Gewicht 435g
- Untertitel Applications to Developed and Developing Economies
- Autor Bo Yang
- Titel Dynamic Stochastic General Equilibrium Modelling
- Veröffentlichung 01.09.2011
- ISBN 3845431016
- Format Kartonierter Einband
- EAN 9783845431017
- Jahr 2011
- Größe H220mm x B150mm x T17mm
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 280
- GTIN 09783845431017