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Structural Factor-Augmented VAR (SFAVAR) and the Effects of Monetary Policy

Citations

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Cited by:

  1. Sigal Ribon, 2011. "The Effect of Monetary Policy on Inflation: A Factor Augmented VAR Approach using disaggregated data," Bank of Israel Working Papers 2011.12, Bank of Israel.
  2. Hilde C. Bjørnland & Julia Zhulanova, 2018. "The Shale Oil Boom and the U.S. Economy: Spillovers and Time-Varying Effects," Working Papers No 8/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  3. Jackson, Laura E. & Owyang, Michael T. & Zubairy, Sarah, 2018. "Debt and stabilization policy: Evidence from a Euro Area FAVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 67-91.
  4. Dimitris Korobilis, 2013. "Assessing the Transmission of Monetary Policy Using Time-varying Parameter Dynamic Factor Models-super-," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 157-179, April.
  5. Ronald A. Ratti & Joaquin L. Vespignani, 2015. "What drives the global interest rate," Globalization Institute Working Papers 241, Federal Reserve Bank of Dallas.
  6. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "Commodity prices and BRIC and G3 liquidity: A SFAVEC approach," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 18-33.
  7. Camilo Alberto Cárdenas-Hurtado & María Alejandra Hernández-Montes, 2019. "Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis," Borradores de Economia 1063, Banco de la Republica de Colombia.
  8. Eickmeier, Sandra & Hofmann, Boris, 2013. "Monetary Policy, Housing Booms, And Financial (Im)Balances," Macroeconomic Dynamics, Cambridge University Press, vol. 17(4), pages 830-860, June.
  9. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
  10. Tan, Zhengxun & Tang, Qianqian & Meng, Juan, 2022. "The effect of monetary policy on China’s housing prices before and after 2017: A dynamic analysis in DSGE model," Land Use Policy, Elsevier, vol. 113(C).
  11. Jithin P & Suresh Babu M, 2020. "Testing for the Effectiveness of Inflation Targeting in India: A Factor Augmented Vector Autoregression (FAVAR) Approach," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(3), pages 163-182.
  12. Jalali-Naini , Ahmad. R. & Hemati , Maryam, 2012. "The Effect of Monetary Shocks on Disaggregated Prices in a Data Rich Environment: a Bayesian FAVAR Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 6(4), pages 27-60, July.
  13. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
  14. Masud Alam, 2021. "Output, Employment, and Price Effects of U.S. Narrative Tax Changes: A Factor-Augmented Vector Autoregression Approach," Papers 2106.10844, arXiv.org.
  15. Stephen Hansen & Michael McMahon, 2016. "Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication," NBER Chapters, in: NBER International Seminar on Macroeconomics 2015, National Bureau of Economic Research, Inc.
  16. Josef Bajzik & Jan Janku & Simona Malovana & Klara Moravcova & Ngoc Anh Ngo, 2023. "Monetary Policy Has a Long-Lasting Impact on Credit: Evidence from 91 VAR Studies," Working Papers 2023/19, Czech National Bank.
  17. Jo, Soojin & Karnizova, Lilia & Reza, Abeer, 2019. "Industry effects of oil price shocks: A re-examination," Energy Economics, Elsevier, vol. 82(C), pages 179-190.
  18. Kemal Bagzibagli, 2014. "Monetary transmission mechanism and time variation in the Euro area," Empirical Economics, Springer, vol. 47(3), pages 781-823, November.
  19. Girardin, Eric & Moussa, Zakaria, 2011. "Quantitative easing works: Lessons from the unique experience in Japan 2001â2006," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 461-495, October.
  20. Galariotis, Emilios & Makrichoriti, Panagiota & Spyrou, Spyros, 2018. "The impact of conventional and unconventional monetary policy on expectations and sentiment," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 1-20.
  21. Moench, Emanuel, 2008. "Forecasting the yield curve in a data-rich environment: A no-arbitrage factor-augmented VAR approach," Journal of Econometrics, Elsevier, vol. 146(1), pages 26-43, September.
  22. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
  23. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
  24. Petrovska Magdalena & Tonovska Jasna & Nikolov Miso & Sulejmani Artan, 2022. "Evaluating Monetary Policy Effectiveness in North Macedonia: Evidence from a Bayesian Favar Framework," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 67-82, December.
  25. Sergio Iván Prada & Julio C. Alonso & Julián Fernández, 2019. "Exchange rate pass-through into consumer healthcare prices in Colombia," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 38(77), pages 523-550, July.
  26. Wilmar Alexander Cabrera Rodríguez & Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Relación entre el riesgo sistémico del sistema financiero y el sector real: un enfoque FAVAR," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 32(75), pages 1-22, December.
  27. Tomas Havranek & Marek Rusnak, 2013. "Transmission Lags of Monetary Policy: A Meta-Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 9(4), pages 39-76, December.
  28. Wang, Yu-Min & Lin, Che-Chun & Tsai, I-Chun, 2023. "State transformation of information spillover in asset markets and effective dynamic hedging strategies," International Review of Financial Analysis, Elsevier, vol. 89(C).
  29. repec:diw:diwwpp:dp1831 is not listed on IDEAS
  30. Hacioglu, Sinem & Tuzcuoglu, Kerem, 2016. "Interpreting the latent dynamic factors by threshold FAVAR model," Bank of England working papers 622, Bank of England.
  31. Mr. Sohrab Rafiq, 2013. "The Growth and Stabilization Properties of Fiscal Policy in Malaysia," IMF Working Papers 2013/149, International Monetary Fund.
  32. Dedu, Vasile & Stoica, Tiberiu, 2014. "The Impact of Monetaru Policy on the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 71-86, June.
  33. Marie-Louise Djigbenou, 2014. "Determinants of Global Liquidity Dynamics:a FAVAR approach," Working Papers hal-00956314, HAL.
  34. Krokida, Styliani-Iris & Makrychoriti, Panagiota & Spyrou, Spyros, 2020. "Monetary policy and herd behavior: International evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 386-417.
  35. Ratti, Ronald A. & Vespignani, Joaquin L., 2014. "Oil prices and the economy: A global perspective," MPRA Paper 59407, University Library of Munich, Germany.
  36. Valls Pereira, Pedro L. & da Silva Fonseca, Marcelo Gonçalves, 2012. "Credit Shocks and Monetary Policy in Brazil: A Structural Favar Approach," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(2), April.
  37. Tang, Chun & Liu, Xiaoxing & Zhou, Donghai, 2022. "Financial market resilience and financial development: A global perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
  38. Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.
  39. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
  40. Korobilis, Dimitris, 2018. "Machine Learning Macroeconometrics A Primer," Essex Finance Centre Working Papers 22666, University of Essex, Essex Business School.
  41. Hongyi Chen & Andrew Tsang, 2016. "The Impact of US Monetary Policy and Other External Shocks on the Hong Kong Economy: A Factor-augmented VAR Approach," Working Papers 092016, Hong Kong Institute for Monetary Research.
  42. Goran Petrevski & Jane Bogoev & Dragan Tevdovski, 2015. "The transmission of foreign shocks to South Eastern European economies," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 747-767, November.
  43. Eickmeier, Sandra & Gambacorta, Leonardo & Hofmann, Boris, 2014. "Understanding global liquidity," European Economic Review, Elsevier, vol. 68(C), pages 1-18.
  44. Fabio Milani & John Treadwell, 2012. "The Effects of Monetary Policy “News” and “Surprises”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1667-1692, December.
  45. Yury Achkasov, 2016. "Nowcasting of the Russian GDP Using the Current Statistics: Approach Modification," Bank of Russia Working Paper Series wps8, Bank of Russia.
  46. Mumtaz, Haroon, 2010. "Evolving UK macroeconomic dynamics: a time-varying factor augmented VAR," Bank of England working papers 386, Bank of England.
  47. Martin Bruns, 2019. "Proxy VAR Models in a Data-Rich Environment," Discussion Papers of DIW Berlin 1831, DIW Berlin, German Institute for Economic Research.
  48. Mr. Sohrab Rafiq, 2015. "Monetary Policy Transmission and Financial Stability in a LIC: The Case of Bangladesh," IMF Working Papers 2015/231, International Monetary Fund.
  49. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
  50. Byoungsoo Cho, 2020. "The Monetary Policy Reaction Function in Korea with Multi-level Factors," Korean Economic Review, Korean Economic Association, vol. 36, pages 353-376.
  51. Masud Alam, 2021. "Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States," Papers 2107.13678, arXiv.org.
  52. Masud Alam, 2021. "Time Varying Risk in U.S. Housing Sector and Real Estate Investment Trusts Equity Return," Papers 2107.10455, arXiv.org.
  53. McCallum, Andrew & Smets, Frank, 2007. "Real wages and monetary policy transmission in the euro area," Kiel Working Papers 1360, Kiel Institute for the World Economy (IfW Kiel).
  54. Juan S. Holguín & Jorge M. Uribe, 2020. "The credit supply channel of monetary policy: evidence from a FAVAR model with sign restrictions," Empirical Economics, Springer, vol. 59(5), pages 2443-2472, November.
  55. Masud Alam, 2024. "Output, employment, and price effects of U.S. narrative tax changes: a factor-augmented vector autoregression approach," Empirical Economics, Springer, vol. 67(4), pages 1421-1471, October.
  56. Mari L. Robertson, 2019. "A Quest For Unfettered Credit: How Monetary Policy Drives Credit Risk Transfer Of Structured Finance Products," Contemporary Economic Policy, Western Economic Association International, vol. 37(1), pages 138-155, January.
  57. Ngozi Frances Obafemi & Eugene Okoi Ifere, 2015. "Monetary Policy Transmission Mechanism in Nigeria: A Comparative Analysis," Research in World Economy, Research in World Economy, Sciedu Press, vol. 6(4), pages 93-103, December.
  58. Rafiq Sohrab, 2012. "Is Discretionary Fiscal Policy in Japan Effective?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-49, August.
  59. Bruns, Martin, 2021. "Proxy Vector Autoregressions in a Data-rich Environment," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
  60. Marc Anderes, 2021. "Housing Demand Shocks and Households Balance Sheets," KOF Working papers 21-492, KOF Swiss Economic Institute, ETH Zurich.
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