Computational Methods for the Study of Dynamic Economies (Hardcover)

Ramon Marimon

ISBN 10: 0198294972 / ISBN 13: 9780198294979

Editore: Oxford University Press, Oxford, 1999

Riguardo questo articolo

Hardcover. Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unless very strong assumptions are made, understanding the properties of particular models requires solving the model using a computer. This volume brings together leading contributors in the field who explain in detail how to implement the computational techniques needed to solve dynamic economics models. A broad spread of techniques arecovered, and their application in a wide range of subjects discussed. The book provides the basics of a toolkit which researchers and graduate students can use to solve and analyse their own theoreticalmodels. Economists are increasingly using computer simulations to understand the implications of theoretical models and to make policy recommendations. Model solution techniques are required to deal with the role of dynamics and uncertainty in macroeconomics. These articles show how to use these techniques in the context of standard macroeconomic models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780198294979

Dati bibliografici

Titolo: Computational Methods for the Study of ...

Casa editrice: Oxford University Press, Oxford

Data di pubblicazione: 1999

Legatura: Hardcover

Condizione: new

Descrizione articolo

Riassunto:

Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unless very strong assumptions are made, understanding the properties of particular models requires solving the model using a computer. This volume brings together leading contributors in the field who explain in detail how to implement the computational techniques needed to solve dynamic economics models. A broad spread of techniques are covered, and their application in a wide range of subjects discussed. The book provides the basics of a toolkit which researchers and graduate students can use to solve and analyse their own theoretical models.

Informazioni sull?autore:

Ramon Marimon is Professor at the European University Institute, Florence.

Andrew Scott is Associate Professor at the London Business School, and a Fellow of CEPR. A Fellow of All Souls College, Oxford, he has also been Visiting Professor at Harvard University.