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DSGE Models, Solutions, and Approximations, from Methods for Applied Macroeconomic Research

In: Methods for Applied Macroeconomic Research

Author

Listed:
  • Fabio Canova

    (University of Pompeu Fabra, Barcelona; Centre for Economic Policy Research, London)

Abstract

The last twenty years have witnessed tremendous advances in the mathematical, statistical, and computational tools available to applied macroeconomists. This rapidly evolving field has redefined how researchers test models and validate theories. Yet until now there has been no textbook that unites the latest methods and bridges the divide between theoretical and applied work. Fabio Canova brings together dynamic equilibrium theory, data analysis, and advanced econometric and computational methods to provide the first comprehensive set of techniques for use by academic economists as well as professional macroeconomists in banking and finance, industry, and government. This graduate-level textbook is for readers knowledgeable in modern macroeconomic theory, econometrics, and computational programming using RATS, MATLAB, or Gauss. Inevitably a modern treatment of such a complex topic requires a quantitative perspective, a solid dynamic theory background, and the development of empirical and numerical methods--which is where Canova's book differs from typical graduate textbooks in macroeconomics and econometrics. Rather than list a series of estimators and their properties, Canova starts from a class of DSGE models, finds an approximate linear representation for the decision rules, and describes methods needed to estimate their parameters, examining their fit to the data. The book is complete with numerous examples and exercises. Today's economic analysts need a strong foundation in both theory and application. Methods for Applied Macroeconomic Research offers the essential tools for the next generation of macroeconomists.

Suggested Citation

  • Fabio Canova, 2007. "DSGE Models, Solutions, and Approximations, from Methods for Applied Macroeconomic Research," Introductory Chapters,in: Methods for Applied Macroeconomic Research Princeton University Press.
  • Handle: RePEc:pup:chapts:8434-2
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    Cited by:

    1. Filipa Sá & Pascal Towbin & Tomasz Wieladek, 2011. "Low interest rates and housing booms: the role of capital inflows, monetary policy and financial innovation," Globalization and Monetary Policy Institute Working Paper 79, Federal Reserve Bank of Dallas.
    2. Joshua C.C. Chan & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2012. "Time Varying Dimension Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 358-367, January.
    3. Jürgen Jerger & Oke Röhe, 2009. "Testing for Parameter Stability in DSGE Models. The Cases of France, Germany and Spain," Working Papers 276, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies), revised Mar 2011.
    4. Vito Polito & Peter Spencer, "undated". "UK Macroeconomic Volatility and the Welfare Costs of Inflation," Discussion Papers 11/21, Department of Economics, University of York.
    5. Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2013. "Multilateral resistance to migration," Journal of Development Economics, Elsevier, vol. 102(C), pages 79-100.
    6. Michal Franta & Roman Horvath & Marek Rusnak, 2014. "Evaluating changes in the monetary transmission mechanism in the Czech Republic," Empirical Economics, Springer, vol. 46(3), pages 827-842, May.
    7. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    8. Irina Stanga, 2011. "Sovereign and Bank Credit Risk during the Global Financial Crisis," DNB Working Papers 314, Netherlands Central Bank, Research Department.
    9. Lanne Markku & Saikkonen Pentti, 2011. "Noncausal Autoregressions for Economic Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 3(3), pages 1-32, October.
    10. Polito, Vito, 2011. "Deferred Taxation and Effective Tax Rates on Income from Capital in the United States, 2000-2010," Cardiff Economics Working Papers E2011/14, Cardiff University, Cardiff Business School, Economics Section.
    11. Zhang, Tongbin & Hu, Bo, 2011. "House-Price Crash and Macroeconomic Crisis: A Hong Kong Case Study," MPRA Paper 34962, University Library of Munich, Germany.
    12. Musso, Alberto & Neri, Stefano & Stracca, Livio, 2011. "Housing, consumption and monetary policy: How different are the US and the euro area?," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3019-3041, November.
    13. Vashchelyuk, N.V. & Polbin, Andrey & Trunin, Pavel, 2016. "The Econometric Estimation of the Macroeconomic Effects of the Shock of Monetary Policy for the Russian Economy," Working Papers 2133, Russian Presidential Academy of National Economy and Public Administration.

    More about this item

    Keywords

    Keywords: mathematical; statistical; computational; models; dynamic equilibrium theory; data analysis; econometrics;

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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