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Bayesian Time Series and DSGE Models, 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. "Bayesian Time Series and DSGE Models, from Methods for Applied Macroeconomic Research," Introductory Chapters,in: Methods for Applied Macroeconomic Research Princeton University Press.
  • Handle: RePEc:pup:chapts:8434-11
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    Cited by:

    1. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E, 2012. "Prior Selection for Vector Autoregressions," CEPR Discussion Papers 8755, C.E.P.R. Discussion Papers.
    2. Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2013. "Multilateral resistance to migration," Journal of Development Economics, Elsevier, vol. 102(C), pages 79-100.
    3. 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.
    4. 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.
    5. Polito, Vito & Spencer, Peter, 2011. "UK Macroeconomic Volatility and the Welfare Costs of Inflation," Cardiff Economics Working Papers E2011/23, Cardiff University, Cardiff Business School, Economics Section.
    6. 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.
    7. Jerger, Jürgen & Röhe, Oke, 2009. "Testing for Parameter Stability in DSGE Models. The Cases of France, Germany and Spain," University of Regensburg Working Papers in Business, Economics and Management Information Systems 453, University of Regensburg, Department of Economics.
    8. 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.
    9. Domenico Giannone & Michèle Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," Working Papers ECARES ECARES 2012-002, ULB -- Universite Libre de Bruxelles.
    10. Conti, Gabriella & Heckman, James J., 2012. "The Economics of Child Well-Being," IZA Discussion Papers 6930, Institute for the Study of Labor (IZA).
    11. 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.
    12. Koeniger, Winfried & Fella, Giulio & Frache, Serafin, 2016. "Buffer-stock savings and households' wealth response to income shocks," Annual Conference 2016 (Augsburg): Demographic Change 145507, Verein für Socialpolitik / German Economic Association.
    13. Maxim Zagonov, 2011. "Securitization and Bank Intermediation Function," Finance zagonov-wpsz2011, Socionet.
    14. Irina Stanga, 2011. "Sovereign and Bank Credit Risk during the Global Financial Crisis," DNB Working Papers 314, Netherlands Central Bank, Research Department.
    15. Vito Polito & Peter Spencer, "undated". "UK Macroeconomic Volatility and the Welfare Costs of Inflation," Discussion Papers 11/21, Department of Economics, University of York.
    16. Lanne, Markku & Saikkonen, Pentti, 2010. "Noncausal autoregressions for economic time series," MPRA Paper 32943, University Library of Munich, Germany.
    17. 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.
    18. 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.

    More about this item

    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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