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Sign Restrictions in Bayesian FaVARs with an Application to Monetary Policy Shocks

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Cited by:

  1. Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 48-65.
  2. Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.
  3. Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Papers 2020_21, Business School - Economics, University of Glasgow.
  4. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
  5. Renato Faccini & Eran Yashiv, 2022. "The importance of hiring frictions in business cycles," Quantitative Economics, Econometric Society, vol. 13(3), pages 1101-1143, July.
  6. Korobilis, Dimitris, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," European Economic Review, Elsevier, vol. 148(C).
  7. Herwartz, Helmut & Maxand, Simone & Rohloff, Hannes, 2018. "Lean against the wind or float with the storm? Revisiting the monetary policy asset price nexus by means of a novel statistical identification approach," University of Göttingen Working Papers in Economics 354, University of Goettingen, Department of Economics.
  8. Pooyan Amir-Ahmadi & Thorsten Drautzburg, 2017. "Identification Through Heterogeneity," Working Papers 17-11, Federal Reserve Bank of Philadelphia.
  9. Centinaio, Alessandra & Pacicco, Fausto & Serati, Massimiliano & Venegoni, Andrea, 2024. "Government decisions and macroeconomic stability: Fiscal policies and financial market fluctuations," International Review of Economics & Finance, Elsevier, vol. 96(PA).
  10. Mariusz Kapuściński, 2018. "How far does monetary policy reach? Evidence from factor-augmented vector autoregressions for Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 49(3), pages 191-216.
  11. Régis Barnichon & Christian Matthes, 2014. "Gaussian Mixture Approximations of Impulse Responses and the Nonlinear Effects of Monetary Shocks," Working Paper 16-8, Federal Reserve Bank of Richmond.
  12. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
  13. Marc Anderes, 2021. "Housing Demand Shocks and Households Balance Sheets," KOF Working papers 21-492, KOF Swiss Economic Institute, ETH Zurich.
  14. Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 48-65.
  15. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
  16. Martin Bruns, 2019. "Proxy VAR models in a data-rich environment," University of East Anglia School of Economics Working Paper Series 2019-03, School of Economics, University of East Anglia, Norwich, UK..
  17. Salmsnov, Oleg & Babina, Natalia & Koba, Ekaterina & Koba, Ekaterina & Lopatina, Olga, 2017. "Efficiency of Monetary Policy Mechanisms Before and After the 2008 Financial Crisis in the Russian Economy," MPRA Paper 112276, University Library of Munich, Germany, revised 01 Jul 2017.
  18. Salmanov, Oleg & Zaernjuk, Victor & Lopatina, Olga & Drachena, Irina & Vikulina, Evgeniya, 2016. "Investigating the Impact of Monetary Policy using the Vector Autoregression Method," MPRA Paper 112280, University Library of Munich, Germany, revised 01 Jun 2016.
  19. Marc Anderes, 2023. "Housing demand shocks and households’ balance sheets," Empirical Economics, Springer, vol. 65(6), pages 2711-2749, December.
  20. Karau, Sören, 2020. "Buried in the vaults of central banks: Monetary gold hoarding and the slide into the Great Depression," Discussion Papers 63/2020, Deutsche Bundesbank.
  21. Zens, Gregor & Böck, Maximilian & Zörner, Thomas O., 2020. "The heterogeneous impact of monetary policy on the US labor market," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
  22. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
  23. Laumer, Sebastian & Violaris, Andreas-Entony, 2024. "Unconventional monetary policy and policy foresight," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
  24. Yadav, Jayant, 2020. "Flight to Safety in Business cycles," MPRA Paper 104093, University Library of Munich, Germany.
  25. Herwartz, Helmut & Rohloff, Hannes, 2018. "Less bang for the buck? Assessing the role of inflation uncertainty for U.S. monetary policy transmission in a data rich environment," University of Göttingen Working Papers in Economics 358, University of Goettingen, Department of Economics.
  26. Yashiv, Eran & Faccini, Renato, 2016. "The Hiring Frictions and Price Frictions Nexus in Business Cycle Models," CEPR Discussion Papers 11639, C.E.P.R. Discussion Papers.
  27. repec:zbw:bofrdp:2018_014 is not listed on IDEAS
  28. Bruns, Martin, 2021. "Proxy Vector Autoregressions in a Data-rich Environment," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
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