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Structural Factor-Augmented VAR (SFAVAR)

Author

Listed:
  • Fabio Milani
  • Francesco Belviso

Abstract

No abstract is available for this item.

Suggested Citation

  • Fabio Milani & Francesco Belviso, 2003. "Structural Factor-Augmented VAR (SFAVAR)," Computing in Economics and Finance 2003 278, Society for Computational Economics.
    • Handle: RePEc:sce:scecf3:278
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    Citations

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    Cited by:

    1. William Goetzmann & Eduardas Valaitis, 2006. "Simulating Real Estate in the Investment Portfolio: Model Uncertainty and Inflation Hedging," Yale School of Management Working Papers amz2476, Yale School of Management, revised 01 May 2006.
    2. Lahura, Erick, 2012. "Measuring the Effects of Monetary Policy Using Market Expectations," Working Papers 2012-005, Banco Central de Reserva del Perú.
    3. Eickmeier, Sandra & Gambacorta, Leonardo & Hofmann, Boris, 2014. "Understanding global liquidity," European Economic Review, Elsevier, vol. 68(C), pages 1-18.
    4. Lahura, Erick, 2010. "The Effects Of Monetary Policy Shocks In Peru: Semi-Structural Identification Using A Factor-Augmented Vector Autoregressive Model," Working Papers 2010-008, Banco Central de Reserva del Perú.
    5. 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.
    6. 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.
    7. 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.
    8. William Goetzmann & Eduardas Valaitis, 2006. "Simulating Real Estate in the Investment Portfolio: Model Uncertainty and Inflation Hedging," Yale School of Management Working Papers amz2476, Yale School of Management, revised 01 May 2006.
    9. 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.
    10. Masud Alam, 2021. "Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States," Papers 2107.13678, arXiv.org.
    11. 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.
    12. Masud Alam, 2021. "Time Varying Risk in U.S. Housing Sector and Real Estate Investment Trusts Equity Return," Papers 2107.10455, arXiv.org.
    13. 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.

    More about this item

    Keywords

    VAR; Dynamic Factors; Monetary Policy; Structural FAVAR;
    All these keywords.

    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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