Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques

Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques facilitates access to fundamental techniques in computational and quantitative macroeconomics. It focuses on the recent and very promising software, Julia, which offers a MATLAB-like language at speeds comparable to C/Fortran, also discussing modeling challenges that make quantitative macroeconomics dynamic, a key feature that few books on the topic include for macroeconomists who need the basic tools to build, solve and simulate macroeconomic models. This book neatly fills the gap between intermediate macroeconomic books and modern DSGE models used in research.

  • Combines an introduction to Julia, with the specific needs of macroeconomic students who are interested in DSGE models and PhD students and researchers interested in building DSGE models
  • Teaches fundamental techniques in quantitative macroeconomics by introducing theoretical elements of key macroeconomic models and their potential algorithmic implementations
  • Exposes researchers working in macroeconomics to state-of-the-art computational techniques for simulating and solving DSGE models
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Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques

Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques facilitates access to fundamental techniques in computational and quantitative macroeconomics. It focuses on the recent and very promising software, Julia, which offers a MATLAB-like language at speeds comparable to C/Fortran, also discussing modeling challenges that make quantitative macroeconomics dynamic, a key feature that few books on the topic include for macroeconomists who need the basic tools to build, solve and simulate macroeconomic models. This book neatly fills the gap between intermediate macroeconomic books and modern DSGE models used in research.

  • Combines an introduction to Julia, with the specific needs of macroeconomic students who are interested in DSGE models and PhD students and researchers interested in building DSGE models
  • Teaches fundamental techniques in quantitative macroeconomics by introducing theoretical elements of key macroeconomic models and their potential algorithmic implementations
  • Exposes researchers working in macroeconomics to state-of-the-art computational techniques for simulating and solving DSGE models
67.49 In Stock
Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques

Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques

by Petre Caraiani
Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques

Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques

by Petre Caraiani

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Overview

Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques facilitates access to fundamental techniques in computational and quantitative macroeconomics. It focuses on the recent and very promising software, Julia, which offers a MATLAB-like language at speeds comparable to C/Fortran, also discussing modeling challenges that make quantitative macroeconomics dynamic, a key feature that few books on the topic include for macroeconomists who need the basic tools to build, solve and simulate macroeconomic models. This book neatly fills the gap between intermediate macroeconomic books and modern DSGE models used in research.

  • Combines an introduction to Julia, with the specific needs of macroeconomic students who are interested in DSGE models and PhD students and researchers interested in building DSGE models
  • Teaches fundamental techniques in quantitative macroeconomics by introducing theoretical elements of key macroeconomic models and their potential algorithmic implementations
  • Exposes researchers working in macroeconomics to state-of-the-art computational techniques for simulating and solving DSGE models

Product Details

ISBN-13: 9780128135129
Publisher: Elsevier Science
Publication date: 08/29/2018
Sold by: Barnes & Noble
Format: eBook
Pages: 238
File size: 8 MB

About the Author

Petre Caraiani is a researcher at the Institute for Economic Forecasting at Romanian Academy. His principal research interests include DSGE modelling, business cycles, and forecasting. Petre has published numerous articles in major journals, including Journal of Macroeconomics, Economics Letters, Economic Modelling, Empirical Economics and International Review of Economics&Finance.

Table of Contents

1. Introduction to Julia2. Basic Numerical Techniques3. Solving and Simulating DSGE Models4. Dynamic Programming5. Advanced Numerical Techniques6. Heterogeneous Agents Models

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Introduces quantitative macroeconomics by integrating computational methods based on Julia and modern DSGE macroeconomic modeling

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