본문 바로가기 주메뉴 바로가기
국회도서관 홈으로 정보검색 소장정보 검색

목차보기

영문목차

Preface=vii

Contributors=ix

1. Introduction and overview/Lambert Schoonbeek;Elmer Sterken=1

2. Integrating dynamics and equilibrium in (large) models/Frederik Huizinga;Peter Kooiman=13

3. Advances in the estimation and analysis of non-linear differential equation models in economics/Clifford R. Wymer=41

4. Evaluating the dynamic properties of macroeconometric models/Anton P. Barten=77

5. Graph-theory based tools in the practice of macroeconometric modeling/Manfred Gilli=89

6. Causality and dynamic analysis of MEFISTO: the monetary and financial model of the Banque de France/Michel Boutillier;Pascal Jacquinot=115

7. Shock resilience in macroeconometric models under error correction and consistent expectations/Andries Brandsma;Alexander Italianer=153

8. Model-consistent learning: some recent developments/Stephen G. Hall;Anthony Garratt=183

9. Policy simulations and long-run sustainability in forward-looking macroeconometric models/Peter N. Smith;Kenneth F. Wallis=203

10. The long run of macroeconometric models: the case of MULTIMOD/Rahim Loufir;Pierre Malgrange=223

11. Modeling the dynamics of net wages/Lambert Schoonbeek;Elmer Sterken=243

12. The dynamics of investment: an application to Dutch manufacturing industries/Gerard H. Kuper=273

13. On the empirics of endogenous economic growth/Anton van Schaik=303

Author index=333

Subject index=337

이용현황보기

Methods and applications of economic dynamics 이용현황 표 - 등록번호, 청구기호, 권별정보, 자료실, 이용여부로 구성 되어있습니다.
등록번호 청구기호 권별정보 자료실 이용여부
0000733755 330.01 S372m 서울관 서고(열람신청 후 1층 대출대) 이용가능

출판사 책소개

알라딘제공
A discussion of various aspects of dynamic behavior of empirical macroeconomic, and in particular, macroeconometric models, is presented in this book. The book addresses in depth several theoretical and practical aspects concerning the modeling and analysis of long-run equilibrium behavior, adjustment dynamics and stability. Tools are developed to identify and interpret the main determinants of the dynamics of models. The tools involve, among others, error-correction mechanisms, eigenvalue analysis, feedback closure rules, graph theory, learning behavior, steady-state analysis, and stochastic simulation. Their usefulness is demonstrated by interesting applications to a number of well-known national and multi-national models.