IDEAS home Printed from https://ideas.repec.org/r/fip/fedawp/2005-27.html
   My bibliography  Save this item

Markov-switching structural vector autoregressions: theory and application

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Volha Audzei & Frantisek Brazdik, 2015. "Exchange Rate Dynamics and its Effect on Macroeconomic Volatility in Selected CEE Countries," Working Papers 2015/07, Czech National Bank.
  2. Francesco Lippi & Andrea Nobili, 2012. "Oil And The Macroeconomy: A Quantitative Structural Analysis," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1059-1083, October.
  3. Duncan, Alfred J. M. & Nolan, Charles, 2019. "Disputes, debt and equity," Theoretical Economics, Econometric Society, vol. 14(3), July.
  4. Shigeru Fujita, 2011. "Dynamics of worker flows and vacancies: evidence from the sign restriction approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 89-121, January/F.
  5. Cerutti, Eugenio & Osorio-Buitron, Carolina, 2020. "US vs. euro area: Who drives cross-border bank lending to EMs?," Journal of the Japanese and International Economies, Elsevier, vol. 57(C).
  6. Jan Čapek, 2016. "Structural Changes in the Czech Economy: A DSGE Model Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(1), pages 37-52.
  7. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
  8. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
  9. Busch, Ulrike & Scharnagl, Michael & Scheithauer, Jan, 2010. "Loan supply in Germany during the financial crisis," Discussion Paper Series 1: Economic Studies 2010,05, Deutsche Bundesbank.
  10. De Graeve, Ferre & Karas, Alexei, 2010. "Identifying VARs through Heterogeneity: An Application to Bank Runs," Working Paper Series 244, Sveriges Riksbank (Central Bank of Sweden).
  11. Luigi Paciello, 2011. "Does Inflation Adjust Faster to Aggregate Technology Shocks than to Monetary Policy Shocks?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(8), pages 1663-1684, December.
  12. Lanne, Markku & Lütkepohl, Helmut & Maciejowska, Katarzyna, 2010. "Structural vector autoregressions with Markov switching," Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 121-131, February.
  13. Dmitry Kulikov & Aleksei Netsunajev, 2013. "Identifying monetary policy shocks via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2013-9, Bank of Estonia, revised 09 Dec 2013.
  14. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2014. "An Empirical Assessment of Optimal Monetary Policy Delegation in the Euro Area," SIRE Discussion Papers 2015-04, Scottish Institute for Research in Economics (SIRE).
  15. Ms. Carolina Osorio-Buitron & Mr. Esteban Vesperoni, 2015. "Big Players Out of Synch: Spillovers Implications of US and Euro Area Shocks," IMF Working Papers 2015/215, International Monetary Fund.
  16. Volha Audzei & Frantisek Brazdik, 2015. "Monetary Policy and Exchange Rate Dynamics: The Exchange Rate as a Shock Absorber," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(5), pages 391-410, October.
  17. Scholl, Almuth & Uhlig, Harald, 2008. "New evidence on the puzzles: Results from agnostic identification on monetary policy and exchange rates," Journal of International Economics, Elsevier, vol. 76(1), pages 1-13, September.
  18. Berg, Tim Oliver, 2010. "Exploring the international transmission of U.S. stock price movements," MPRA Paper 23977, University Library of Munich, Germany.
  19. Lutz Kilian & Daniel P. Murphy, 2012. "Why Agnostic Sign Restrictions Are Not Enough: Understanding The Dynamics Of Oil Market Var Models," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1166-1188, October.
  20. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
  21. Paulo Chávez & Gabriel Rodríguez, 2023. "Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(2), pages 505-544, May.
  22. Njindan Iyke, Bernard, 2016. "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper 70205, University Library of Munich, Germany.
  23. Helmut Lütkepohl & Anton Velinov, 2016. "Structural Vector Autoregressions: Checking Identifying Long-Run Restrictions Via Heteroskedasticity," Journal of Economic Surveys, Wiley Blackwell, vol. 30(2), pages 377-392, April.
  24. Lippi, Francesco & Nobili, Andrea, 2008. "Oil and the Macroeconomy: A Structural VAR Analysis with Sign Restrictions," CEPR Discussion Papers 6830, C.E.P.R. Discussion Papers.
  25. Nikolaychuk Sergiy & Shapovalenko Nadiia, 2013. "The identification of the sources of current account fluctuations in Ukraine," EERC Working Paper Series 13/12e, EERC Research Network, Russia and CIS.
  26. Enders, Zeno & Müller, Gernot J. & Scholl, Almuth, 2011. "How do fiscal and technology shocks affect real exchange rates?: New evidence for the United States," Journal of International Economics, Elsevier, vol. 83(1), pages 53-69, January.
  27. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "An empirical assessment of Optimal Monetary Policy in the Euro area," European Economic Review, Elsevier, vol. 100(C), pages 95-115.
  28. Helmut Lütkepohl & Aleksei NetŠunajev, 2014. "Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
  29. Gete, Pedro, 2009. "Housing Markets and Current Account Dynamics," MPRA Paper 20957, University Library of Munich, Germany, revised 24 Feb 2010.
  30. Helmut Lütkepohl, 2012. "Identifying Structural Vector Autoregressions via Changes in Volatility," Discussion Papers of DIW Berlin 1259, DIW Berlin, German Institute for Economic Research.
  31. Roland Meeks, 2009. "Credit market shocks: evidence from corporate spreads and defaults," Working Papers 0906, Federal Reserve Bank of Dallas.
  32. Matheson, Troy & Stavrev, Emil, 2014. "News and monetary shocks at a high frequency: A simple approach," Economics Letters, Elsevier, vol. 125(2), pages 282-286.
  33. Liu, Li & Wang, Yudong & Wu, Chongfeng & Wu, Wenfeng, 2016. "Disentangling the determinants of real oil prices," Energy Economics, Elsevier, vol. 56(C), pages 363-373.
  34. Dungey, Mardi & Fry, Renée, 2009. "The identification of fiscal and monetary policy in a structural VAR," Economic Modelling, Elsevier, vol. 26(6), pages 1147-1160, November.
  35. Deryugina, Elena B. & Ponomarenko, Alexey A., 2011. "Identifying structural shocks behind loan supply fluctuations in Russia," BOFIT Discussion Papers 20/2011, Bank of Finland, Institute for Economies in Transition.
  36. Massimiliano Serati & Gianni Amisano, 2008. "Building composite leading indexes in a dynamic factor model framework: a new proposal," LIUC Papers in Economics 212, Cattaneo University (LIUC).
  37. Audzei, Volha & Brázdik, František, 2018. "Exchange rate dynamics and their effect on macroeconomic volatility in selected CEE countries," Economic Systems, Elsevier, vol. 42(4), pages 584-596.
  38. Barnett, Alina & Thomas, Ryland, 2013. "Has weak lending and activity in the United Kingdom been driven by credit supply shocks?," Bank of England working papers 482, Bank of England.
  39. repec:zbw:bofitp:urn:nbn:fi:bof-201503111111 is not listed on IDEAS
  40. Massimiliano Serati, 2008. "Trade and quality: theoretical and empirical evidence for the euro zone," LIUC Papers in Economics 206, Cattaneo University (LIUC).
  41. repec:zbw:bofitp:2011_020 is not listed on IDEAS
  42. Andreas Bachmann & Stefan Leist, 2013. "Sudden stop regimes and output: a Markov switching analysis," Diskussionsschriften dp1307, Universitaet Bern, Departement Volkswirtschaft.
  43. Karamé, Frédéric, 2015. "Asymmetries and Markov-switching structural VAR," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 85-102.
  44. Elena Deryugina & Olga Kovalenko & Irina Pantina & Alexey Ponomarenko, 2015. "Disentangling loan demand and supply shocks in Russia," Bank of Russia Working Paper Series wps3, Bank of Russia.
  45. Alexander Kriwoluzky, 2008. "Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models," SFB 649 Discussion Papers SFB649DP2008-060, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  46. Liu, Philip & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2014. "The transmission of international shocks to the UK. Estimates based on a time-varying factor augmented VAR," Journal of International Money and Finance, Elsevier, vol. 46(C), pages 1-15.
  47. Hou, Chenghan & Nguyen, Bao H., 2018. "Understanding the US natural gas market: A Markov switching VAR approach," Energy Economics, Elsevier, vol. 75(C), pages 42-53.
  48. repec:bof:bofitp:urn:nbn:fi:bof-201503111111 is not listed on IDEAS
  49. Legrand, Romain, 2014. "Euro introduction: Has there been a structural change? Study on 10 European Union countries," Economic Modelling, Elsevier, vol. 40(C), pages 136-151.
  50. Bian, Timothy Yang & Gete, Pedro, 2015. "What drives housing dynamics in China? A sign restrictions VAR approach," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 96-112.
  51. Kilian, Lutz & Inoue, Atsushi & Guerron-Quintana, Pablo A., 2009. "Frequentist Inference in Weakly Identified DSGE Models," CEPR Discussion Papers 7447, C.E.P.R. Discussion Papers.
  52. Dmitry Kulikov & Aleksei Netsunajev, 2016. "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2015-8, Bank of Estonia, revised 19 Feb 2016.
  53. Chai Jian & Wang Shubin & Xiao Hao, 2013. "Abrupt Changes of Global Oil Price," Journal of Systems Science and Information, De Gruyter, vol. 1(1), pages 38-59, February.
  54. Liu, Philip & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2011. "International transmission of shocks: a time-varying factor-augmented VAR approach to the open economy," Bank of England working papers 425, Bank of England.
  55. Lubos Hanus & Lukas Vacha, 2018. "Time-Frequency Response Analysis of Monetary Policy Transmission," Working Papers IES 2018/30, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2018.
  56. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
  57. repec:zbw:bofitp:2015_008 is not listed on IDEAS
  58. Njindan Iyke, Bernard, 2015. "Assessing the Effects of Housing Market Shocks on Output: The Case of South Africa," MPRA Paper 69610, University Library of Munich, Germany, revised 01 Feb 2016.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.