Experimenting with Dynamic Macromodels [electronic resource] :Growth and Cycles / by Pier Carlo Nicola.
by Nicola, Pier Carlo [author.]; SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Economics and Mathematical Systems: 608Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: online resource.ISBN: 9783540773979.Subject(s): Economics | Social sciences -- Data processing | Endogenous growth (Economics) | Macroeconomics | Economics/Management Science | Economic Theory | Macroeconomics/Monetary Economics | Economic Systems | Computer Appl. in Social and Behavioral Sciences | Economic Growth | R & D/Technology PolicyDDC classification: 330.1 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | HB1-846.8 (Browse shelf) | Available |
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| Q334-342 Advances in Hybrid Information Technology | QH75-77 Tropical Fire Ecology | R895-920 Radiation Oncology | HB1-846.8 Experimenting with Dynamic Macromodels | RF1-547 Ear Surgery | HD28-70 From Customer Retention to a Holistic Stakeholder Management System | HD4801-8943 Bringing the Jobless into Work? |
Basics -- Foundations of Macroeconomic Dynamics -- Population Dynamics and the Labour Market -- Production Functions -- Simple Dynamic Macromodels -- A Model Without R&D and Public Expenditure -- Some Determinants of Endogenous Growth -- Public Expenditure and Taxes -- Computer Simulations -- Stationary Population: Cobb–Douglas Simulations -- Stationary Population: CES Simulations -- Stationary Population: Leontief Simulations -- Steady Growing Population -- Logistic Growing Population -- Effects of Public Expenditure -- Material Welfare Comparisons.
This book presents a macroeconomic dynamic model à 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 are 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.
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