Multisector Growth Models von Terry L. Roe | Theory and Application | ISBN 9780387773582

Multisector Growth Models

Theory and Application

von Terry L. Roe, Rodney B. W. Smith und D. Sirin Saracoglu
Mitwirkende
Autor / AutorinTerry L. Roe
Autor / AutorinRodney B. W. Smith
Autor / AutorinD. Sirin Saracoglu
Buchcover Multisector Growth Models | Terry L. Roe | EAN 9780387773582 | ISBN 0-387-77358-4 | ISBN 978-0-387-77358-2
Leseprobe

From the reviews:

“The central issue of the book is transition from theoretical description of an economy to real-life applications of the theory. … The book could serve as a textbook for advanced undergraduate students or graduate students (e. g. in an Applied General Equilibrium course) or as a companion book for any person willing to apply the theory to real-life problems.” (Piotr Mackowiak, Zentralblatt MATH, Vol. 1198, 2010)

Multisector Growth Models

Theory and Application

von Terry L. Roe, Rodney B. W. Smith und D. Sirin Saracoglu
Mitwirkende
Autor / AutorinTerry L. Roe
Autor / AutorinRodney B. W. Smith
Autor / AutorinD. Sirin Saracoglu
The primary objective of this book is to advance the state of the art in specifying and ? tting to data structural multi-sector dynamic macroeconomic models, and empirically implementing them. The fundamental construct upon which we build is the Ramsey model. A most attractive feature of this model is the insights it provides into the dynamics of an economy in tr- sition to long-run equilibrium. With some exceptions, Ramsey models are highly aggregated – typically single sector models. However, interest often lies in understanding the forces of e- nomic growth across multiple sectors of an economy and on how policy impacts likely play out over time. Such analyses call for moredisaggregatedmodelsthatcanbe? ttocountryorregional data. Thisbookshowshowto:(i)extendthebasicmodeltom- tiple sectors, (ii) how to adapt the basic model to account for policy instruments, and (iii) ? t the model to data, and obtain equilibrium values both forward and backward in time from the data points to which the model is initially ? t.