| Experimenting with Dynamic Macromodels: Growth and Cycles 2008 Edition Contributor(s): Nicola, Piercarlo (Author) |
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ISBN: 3540773967 ISBN-13: 9783540773962 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: March 2008 Annotation: This book presents a macroeconomic dynamic model ?? la Solow-Swan, including the market for labour, in a discrete time structure. Labour supply is modelled as a reversed S curve (derived in the appendix). The models is expanded to include expenditure on R&D (thus endogenous technical progress), and public expenditure on infrastructures. For each of the three models, numerical simulations are implemented in MAPLE, and the results are shown in time series figures, which make it easy to detect that even small changes in the parameters produce responses in the time behaviour of the main variables: from steady growth, to regular cycles, to chaotic-like time paths. The simulations show that cycles do not promote material welfare, as measured by total undiscounted consumption along the time horizon, and that the comparative action of R&D versus public expenditure is strictly linked to the values assigned to the parameters. |
| Additional Information |
| BISAC Categories: - Business & Economics | Economics - Theory - Computers | Computer Science - Business & Economics | Economics - Macroeconomics |
| Dewey: 339.01 |
| LCCN: 2007942558 |
| Series: Lecture Notes in Economic and Mathematical Systems |
| Physical Information: 0.6" H x 6.14" W x 9.21" (0.88 lbs) 265 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book presents a macroeconomic dynamic model la Solow-Swan, including the market for labor, in a discrete time structure. The model is expanded to include expenditure on R&D and public expenditure on infrastructure. For each of the three models the results are shown in time series figures, which demonstrate that even small changes in the parameters produce responses in the time behavior of the main variables: from steady growth, to regular cycles, to chaotic-like time paths. |