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Identifying Monetary Policy Shocks via Changes in Volatility

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Cited by:

  1. Markku Lanne & Helmut Luetkepohl, 2008. "A Statistical Comparison of Alternative Identification Schemes for Monetary Policy Shocks," Economics Working Papers ECO2008/23, European University Institute.
  2. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
  3. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018. "Measuring Uncertainty and Its Impact on the Economy," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 799-815, December.
  4. Lütkepohl, Helmut & Schlaak, Thore, 2019. "Bootstrapping impulse responses of structural vector autoregressive models identified through GARCH," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 41-61.
  5. Massimo Guidolin & Valentina Massagli & Manuela Pedio, 2021. "Does the cost of private debt respond to monetary policy? Heteroskedasticity-based identification in a model with regimes," The European Journal of Finance, Taylor & Francis Journals, vol. 27(18), pages 1804-1833, December.
  6. Helmut Herwartz & Martin Plödt, 2016. "Simulation Evidence on Theory-based and Statistical Identification under Volatility Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 94-112, February.
  7. Sun, Hang & Bos, Jaap W.B. & Li, Zhuo, 2017. "In the Nick of Time: A Heteroskedastic SVAR Model and Its Application to the Crude Oil Futures Market," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
  8. Helmut Lütkepohl & Thore Schlaak, 2018. "Choosing Between Different Time‐Varying Volatility Models for Structural Vector Autoregressive Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(4), pages 715-735, August.
  9. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel vector autoregressive models: a survey," Working Paper Series 1507, European Central Bank.
  10. Emanuele Bacchiocchi, 2017. "On the Identification of Interdependence and Contagion of Financial Crises," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1148-1175, December.
  11. Marcel Fratzscher & Daniel Schneider & Ine Van Robays, 2013. "Oil Prices, Exchange Rates and Asset Prices," Discussion Papers of DIW Berlin 1302, DIW Berlin, German Institute for Economic Research.
  12. Marcel Fratzscher & Malte Rieth, 2019. "Monetary Policy, Bank Bailouts and the Sovereign-Bank Risk Nexus in the Euro Area," Review of Finance, European Finance Association, vol. 23(4), pages 745-775.
  13. Markku Lanne & Helmut Lütkepohl, 2008. "Identifying Monetary Policy Shocks via Changes in Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1131-1149, September.
  14. Soenen, Nicolas & Vander Vennet, Rudi, 2022. "ECB monetary policy and bank default risk☆," Journal of International Money and Finance, Elsevier, vol. 122(C).
  15. Emanuele BACCHIOCCHI, 2011. "Identification through heteroskedasticity: a likelihood-based approach," Departmental Working Papers 2011-19, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  16. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
  17. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
  18. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with smooth transition in variances," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 43-57.
  19. Halvorsen, Jørn I. & Jacobsen, Dag Henning, 2016. "The bank-lending channel empirically revisited," Journal of Financial Stability, Elsevier, vol. 27(C), pages 95-105.
  20. Guido Turnip, 2017. "Identification of Small Open Economy SVARs via Markov-Switching Heteroskedasticity," The Economic Record, The Economic Society of Australia, vol. 93(302), pages 465-483, September.
  21. Lütkepohl, Helmut & Milunovich, George & Yang, Minxian, 2020. "Inference in partially identified heteroskedastic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 218(2), pages 317-345.
  22. Jørn Inge Halvorsen & Dag Henning Jacobsen, 2009. "Are bank lending shocks important for economic fluctuations?," Working Paper 2009/27, Norges Bank.
  23. Helmut Lütkepohl & Aleksei Netsunajev, 2014. "Structural Vector Autoregressions with Smooth Transition in Variances: The Interaction between U.S. Monetary Policy and the Stock Market," Discussion Papers of DIW Berlin 1388, DIW Berlin, German Institute for Economic Research.
  24. Netsunajev, Aleksei, 2013. "Reaction to technology shocks in Markov-switching structural VARs: Identification via heteroskedasticity," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 51-62.
  25. Schenkelberg, Heike & Watzka, Sebastian, 2013. "Real effects of quantitative easing at the zero lower bound: Structural VAR-based evidence from Japan," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 327-357.
  26. Erdenebat Bataa & Denise R.Osborn & Marianne Sensier, 2016. "China's Increasing Global Influence: Changes in International Growth Spillovers," Centre for Growth and Business Cycle Research Discussion Paper Series 221, Economics, The University of Manchester.
  27. Elton Beqiraj & Valeria Patella & Massimiliano Tancioni, 2019. "Regime-switches in the Rollover of Sovereign Risk," Working Papers in Public Economics 191, University of Rome La Sapienza, Department of Economics and Law.
  28. Mirela Miescu, 2022. "Forward guidance shocks," Working Papers 352591340, Lancaster University Management School, Economics Department.
  29. Dominik Bertsche & Robin Braun, 2022. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
  30. Baldi, Guido & Lange, Alexander, 2019. "The Interest Rate Sensitivity of Investment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 173-190.
  31. Nave, Juan M. & Ruiz, Javier, 2015. "Risk aversion and monetary policy in a global context," Journal of Financial Stability, Elsevier, vol. 20(C), pages 14-35.
  32. Elien Meuleman & Rudi Vander Vennet, 2022. "Macroprudential Policy, Monetary Policy, and Euro Zone Bank Risk," International Journal of Central Banking, International Journal of Central Banking, vol. 18(4), pages 1-52, October.
  33. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
  34. Dobromił Serwa & Piotr Wdowiński, 2017. "Modeling Macro-Financial Linkages: Combined Impulse Response Functions in SVAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(4), pages 323-357, December.
  35. Kohonen, Anssi, 2014. "Transmission of government default risk in the eurozone," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 71-85.
  36. Halvorsen, Jørn I. & Jacobsen, Dag Henning, 2014. "How important can bank lending shocks be for economic fluctuations?," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 104-123.
  37. Jolanta Tamošaitienė & Vahidreza Yousefi & Hamed Tabasi, 2021. "Project Portfolio Construction Using Extreme Value Theory," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
  38. Christoph Große Steffen & Maximilian Podstawski, 2016. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," Discussion Papers of DIW Berlin 1602, DIW Berlin, German Institute for Economic Research.
  39. Greg Hannsgen, 2011. "Infinite-variance, Alpha-stable Shocks in Monetary SVAR: Final Working Paper Version," Economics Working Paper Archive wp_682, Levy Economics Institute.
  40. Lütkepohl, Helmut & Velinov, Anton, 2014. "Structural vector autoregressions: Checking identifying long-run restrictions via heteroskedasticity," SFB 649 Discussion Papers 2014-009, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  41. Arampatzidis, Ioannis & Dergiades, Theologos & Kaufmann, Robert K. & Panagiotidis, Theodore, 2021. "Oil and the U.S. stock market: Implications for low carbon policies," Energy Economics, Elsevier, vol. 103(C).
  42. Helmut Lütkepohl & Aleksei Netsunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity: A Comparison of Different Volatility Models," Discussion Papers of DIW Berlin 1464, DIW Berlin, German Institute for Economic Research.
  43. Matthys, Thomas & Meuleman, Elien & Vander Vennet, Rudi, 2020. "Unconventional monetary policy and bank risk taking," Journal of International Money and Finance, Elsevier, vol. 109(C).
  44. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2023. "Monetary policy, external instruments, and heteroskedasticity," Quantitative Economics, Econometric Society, vol. 14(1), pages 161-200, January.
  45. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
  46. 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.
  47. Helmut Lütkepohl, 2013. "Reducing confidence bands for simulated impulse responses," Statistical Papers, Springer, vol. 54(4), pages 1131-1145, November.
  48. repec:hum:wpaper:sfb649dp2014-009 is not listed on IDEAS
  49. 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.
  50. Helmut Lütkepohl & Fei Shang & Luis Uzeda & Tomasz Woźniak, 2024. "Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference," Discussion Papers of DIW Berlin 2081, DIW Berlin, German Institute for Economic Research.
  51. repec:hum:wpaper:sfb649dp2015-043 is not listed on IDEAS
  52. Lütkepohl, Helmut & Velinov, Anton, 2016. "Structural Vector Autoregressions : Checking Identifying Long-Run Restrictions via Heteroskedasticity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 30, pages 377-392.
  53. Luetkepohl, Helmut & Milunovich, George, 2015. "Testing for identification in SVAR-GARCH models," SFB 649 Discussion Papers 2015-030, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  54. Kaelo Mpho Ntwaepelo, 2021. "The Effects of Macroprudential and Monetary Policy Shocks in BRICS economies," Economics Discussion Papers em-dp2021-20, Department of Economics, University of Reading.
  55. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
  56. repec:hum:wpaper:sfb649dp2015-015 is not listed on IDEAS
  57. Yohei Yamamoto & Naoko Hara, 2022. "Identifying factor‐augmented vector autoregression models via changes in shock variances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 722-745, June.
  58. 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.
  59. Martien Lamers & Frederik Mergaerts & Elien Meuleman & Rudi Vander Vennet, 2019. "The Tradeoff between Monetary Policy and Bank Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 1-42, June.
  60. Lutz Kilian, 2013. "Structural vector autoregressions," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554, Edward Elgar Publishing.
  61. Pierre Perron & Yohei Yamamoto, 2022. "The great moderation: updated evidence with joint tests for multiple structural changes in variance and persistence," Empirical Economics, Springer, vol. 62(3), pages 1193-1218, March.
  62. Giovanni Angelini & Luca Fanelli & Luca Neri, 2024. "Invalid proxies and volatility changes," Working Papers wp1193, Dipartimento Scienze Economiche, Universita' di Bologna.
  63. James Morley, 2024. "Zero Interest Policy & the New Abnormal: A Critique," The Economic Record, The Economic Society of Australia, vol. 100(329), pages 261-266, June.
  64. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
  65. Winkelmann, Lars & Netsunajev, Aleksei, 2015. "International Transmissions of Inflation Expectations in a Markov Switching Structural VAR Model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112900, Verein für Socialpolitik / German Economic Association.
  66. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021. "Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty," Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.
  67. Kerstin Bernoth & Helmut Herwartz & Lasse Trienens, 2023. "The Impacts of Global Risk and US Monetary Policy on US Dollar Exchange Rates and Excess Currency Returns," Discussion Papers of DIW Berlin 2037, DIW Berlin, German Institute for Economic Research.
  68. 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.
  69. 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.
  70. Herwartz, Helmut & Roestel, Jan, 2022. "Asset prices, financial amplification and monetary policy: Structural evidence from an identified multivariate GARCH model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
  71. Emanuele BACCHIOCCHI & Riccardo Jack LUCCHETTI, 2015. "Structure-Based SVAR Identification," Departmental Working Papers 2015-11, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  72. Helmut Herwartz & Alexander Lange, 2024. "How certain are we about the role of uncertainty in the economy?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 126-149, January.
  73. Cordoni, Francesco & Dorémus, Nicolas & Moneta, Alessio, 2024. "Identification of vector autoregressive models with nonlinear contemporaneous structure," Journal of Economic Dynamics and Control, Elsevier, vol. 162(C).
  74. Forti Grazzini, Caterina & Rieth, Malte, 2017. "Interest Rates and Exchange Rates in Normal and Crisis Times," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168281, Verein für Socialpolitik / German Economic Association.
  75. Emanuele BACCHIOCCHI & Luca FANELLI, 2012. "Identification in structural vector autoregressive models with structural changes," Departmental Working Papers 2012-16, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  76. Nicolas Soenen & Rudi Vander Vennet, 2020. "ECB Monetary Policy and Bank Default Risk," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/997, Ghent University, Faculty of Economics and Business Administration.
  77. repec:hum:wpaper:sfb649dp2015-030 is not listed on IDEAS
  78. Ulrichs Magdalena, 2018. "Identification of Financial and Macroeconomic Shocks in a Var Model of the Polish Economy. A Stability Analysis," Economics and Business Review, Sciendo, vol. 4(1), pages 29-43, April.
  79. Karamysheva, Madina & Skrobotov, Anton, 2022. "Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
  80. Fabio Canova & Fernando J. Pérez Forero, 2012. "Estimating overidentified, nonrecursive, time-varying coefficients structural VARs," Economics Working Papers 1321, Department of Economics and Business, Universitat Pompeu Fabra.
  81. Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2014. "Gimme a break! Identification and estimation of the macroeconomic effects of monetary policy shocks in the U.S," "Marco Fanno" Working Papers 0181, Dipartimento di Scienze Economiche "Marco Fanno".
  82. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
  83. Hattori, Masazumi & Shim, Ilhyock & Sugihara, Yoshihiko, 2021. "Cross-stock market spillovers through variance risk premiums and equity flows," Journal of International Money and Finance, Elsevier, vol. 119(C).
  84. Tom Beernaert & Nicolas Soenen & Rudi Vander Vennet, 2023. "ECB Monetary Policy and the Term Structure of Bank Default Risk," JRFM, MDPI, vol. 16(12), pages 1-22, December.
  85. Michael Hachula & Malte Rieth, 2017. "Identifying Speculative Demand Shocks in Commodity Futures Markets through Changes in Volatility," Discussion Papers of DIW Berlin 1646, DIW Berlin, German Institute for Economic Research.
  86. Helmut Lütkepohl & George Milunovich, 2015. "Testing for Identification in SVAR-GARCH Models: Reconsidering the Impact of Monetary Shocks on Exchange Rates," Discussion Papers of DIW Berlin 1455, DIW Berlin, German Institute for Economic Research.
  87. Bouakez, Hafedh & Essid, Badye & Normandin, Michel, 2013. "Stock returns and monetary policy: Are there any ties?," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 33-50.
  88. Lütkepohl, Helmut & Milunovich, George, 2016. "Testing for identification in SVAR-GARCH models," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 241-258.
  89. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
  90. Efrem Castelnuovo, 2016. "Monetary policy shocks and Cholesky VARs: an assessment for the Euro area," Empirical Economics, Springer, vol. 50(2), pages 383-414, March.
  91. Helmut Lütkepohl, 2012. "Identifying Structural Vector Autoregressions via Changes in Volatility," Discussion Papers of DIW Berlin 1259, DIW Berlin, German Institute for Economic Research.
  92. Gerti Shijaku, 2015. "The Macroeconomic Pass-through Effects of Monetary Policy through Sign Restrictions Approach: In the Case of Albania," IHEID Working Papers 11-2015, Economics Section, The Graduate Institute of International Studies.
  93. Chen, Wenjuan & Netšunajev, Aleksei, 2016. "On the long-run neutrality of demand shocks," Economics Letters, Elsevier, vol. 139(C), pages 57-60.
  94. Thiago Drummond de Mendonça Giudici & Elcyon Caiado Rocha Lima, 2024. "The business cycle in Brazil: identification via heteroskedasticity," International Economics and Economic Policy, Springer, vol. 21(3), pages 649-684, July.
  95. Miguel Fernandes & João S. Andrade & Adelaide Duarte & Marta Simões, 2022. "Inequality and growth in Portugal: A reappraisal for the period 1986–2017," Poverty & Public Policy, John Wiley & Sons, vol. 14(1), pages 25-49, March.
  96. Bruns, Martin & Lütkepohl, Helmut, 2024. "Heteroskedastic proxy vector autoregressions: An identification-robust test for time-varying impulse responses in the presence of multiple proxies," Journal of Economic Dynamics and Control, Elsevier, vol. 161(C).
  97. Maxand, Simone, 2020. "Identification of independent structural shocks in the presence of multiple Gaussian components," Econometrics and Statistics, Elsevier, vol. 16(C), pages 55-68.
  98. Audi, Marc & Ali, Amjad & Fayad Hamadeh, Hani, 2022. "Nexus among innovations, financial development and economic growth in developing countries," MPRA Paper 115220, University Library of Munich, Germany.
  99. Katarzyna Maciejowska, 2010. "Estimation Methods Comparison of SVAR Models with a Mixture of Two Normal Distributions," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(4), pages 279-314, September.
  100. Martin Ademmer & Wolfram Horn & Josefine Quast, 2022. "Stock market dynamics and the relative importance of domestic, foreign, and common shocks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3911-3923, October.
  101. Michael Hachula & Malte Rieth, 2020. "Estimating the Impact of Financial Investments on Agricultural Futures Prices using Changes in Volatility," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 759-785, May.
  102. Puonti, Päivi, 2016. "Fiscal multipliers in a structural VEC model with mixed normal errors," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 144-154.
  103. Helmut Herwartz, 2022. "Modelling interaction patterns in a predator-prey system of two freshwater organisms in discrete time: an identified structural VAR approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 63-85, March.
  104. repec:hum:wpaper:sfb649dp2014-031 is not listed on IDEAS
  105. Emanuele BACCHIOCCHI, 2011. "Identification in structural VAR models with different volatility regimes," Departmental Working Papers 2011-39, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  106. Beqiraj, Elton & Patella, Valeria & Tancioni, Massimiliano, 2021. "Fiscal stance and the sovereign risk pass-through," Economic Modelling, Elsevier, vol. 102(C).
  107. Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017. "Identification and estimation of non-Gaussian structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.
  108. Herwartz, Helmut, 2014. "Structural analysis with independent innovations," University of Göttingen Working Papers in Economics 208, University of Goettingen, Department of Economics.
  109. S Ouliaris & A R Pagan, 2015. "A New Method for Working With Sign Restrictions in SVARs," NCER Working Paper Series 105, National Centre for Econometric Research.
  110. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
  111. Kriwoluzky, Alexander, 2008. "Matching theory and data: Bayesian vector autoregression and dynamic stochastic general equilibrium models," SFB 649 Discussion Papers 2008-060, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  112. Angelini Giovanni & Costantini Mauro & Easaw Joshy, 2024. "Estimating uncertainty spillover effects across euro area using a regime dependent VAR model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(1), pages 39-59, February.
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