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Bayesian estimation of DSGE models

In: Handbook of Research Methods and Applications in Empirical Macroeconomics

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  • Pablo A. Guerrón-Quintana
  • James M. Nason

Abstract

This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading.

Suggested Citation

  • Pablo A. Guerrón-Quintana & James M. Nason, 2013. "Bayesian estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 21, pages 486-512, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:14327_21
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    2. Pawel Baranowski & Zbigniew Kuchta, 2015. "Changes in nominal rigidities in Poland – a regime switching DSGE perspective," Lodz Economics Working Papers 6/2015, University of Lodz, Faculty of Economics and Sociology.
    3. Paul Corrigan & Hélène Desgagnés & José Dorich & Vadym Lepetyuk & Wataru Miyamoto & Yang Zhang, 2021. "ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis," Technical Reports 119, Bank of Canada.
    4. Galvão, Ana Beatriz, 2017. "Data revisions and DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 215-232.
    5. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "How optimal is US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 96-111.
    6. Christian Schoder, 2017. "Estimating Keynesian models of business fluctuations using Bayesian Maximum Likelihood," Review of Keynesian Economics, Edward Elgar Publishing, vol. 5(4), pages 586–630-5, October.
    7. Liu, Anyu & Wu, Doris Chenguang, 2019. "Tourism productivity and economic growth," Annals of Tourism Research, Elsevier, vol. 76(C), pages 253-265.
    8. Shalva Mkhatrishvili & Zviad Zedginidze, 2015. "Modeling Macro-Fiscal Interlinkages: Case of Georgia," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(1), pages 15-41, March.
    9. Zbigniew Kuchta, 2014. "Sztywność płac nominalnych w modelach DSGE małej skali. Analiza empiryczna dla Polski," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 6, pages 31-56.
    10. Byaro, Mwoyo & Kinyondo, Abel, 2020. "Institutional Quality Explains the Difference of Natural Gas Revenues to Contribute in the Economy: Empirical Evidence from Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 8(3), November.
    11. Katayama, Munechika & Kim, Kwang Hwan, 2013. "The delayed effects of monetary shocks in a two-sector New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 243-259.
    12. Mariusz Górajski & Zbigniew Kuchta, 2022. "Which hallmarks of optimal monetary policy rules matter in Poland? A stochastic dominance approach," Bank i Kredyt, Narodowy Bank Polski, vol. 53(2), pages 149-182.
    13. Górajski Mariusz & Kuchta Zbigniew, 2018. "Measuring Uncertainty of Optimal Simple Monetary Policy Rules in DSGE models," Lodz Economics Working Papers 6/2018, University of Lodz, Faculty of Economics and Sociology.
    14. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).

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    More about this item

    Keywords

    Economics and Finance; Research Methods;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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