Synopsis
Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unles 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.
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About the Author
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.
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Computational Methods for the Study of Dynamic Economies
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