IDEAS home Printed from https://ideas.repec.org/r/cup/etheor/v7y1991i04p487-496_00.html
   My bibliography  Save this item

Estimating Orthogonal Impulse Responses via Vector Autoregressive Models

Citations

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


Cited by:

  1. Lee, Yoon-Jin & Okui, Ryo & Shintani, Mototsugu, 2018. "Asymptotic inference for dynamic panel estimators of infinite order autoregressive processes," Journal of Econometrics, Elsevier, vol. 204(2), pages 147-158.
  2. John Galbraith & Aman Ullah & Victoria Zinde-Walsh, 2002. "Estimation Of The Vector Moving Average Model By Vector Autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 205-219.
  3. Philip Liu & Konstantinos Theodoridis, 2012. "DSGE Model Restrictions for Structural VAR Identification," International Journal of Central Banking, International Journal of Central Banking, vol. 8(4), pages 61-95, December.
  4. Inoue, Atsushi & Kilian, Lutz, 2016. "Joint confidence sets for structural impulse responses," Journal of Econometrics, Elsevier, vol. 192(2), pages 421-432.
  5. Galariotis, Emilios C. & Makrichoriti, Panagiota & Spyrou, Spyros, 2016. "Sovereign CDS spread determinants and spill-over effects during financial crisis: A panel VAR approach," Journal of Financial Stability, Elsevier, vol. 26(C), pages 62-77.
  6. Òscar Jordà & Massimiliano Marcellino, 2010. "Path forecast evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 635-662.
  7. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
  8. Lutkepohl, Helmut & Saikkonen, Pentti, 1997. "Impulse response analysis in infinite order cointegrated vector autoregressive processes," Journal of Econometrics, Elsevier, vol. 81(1), pages 127-157, November.
  9. Hall, Alastair R. & Inoue, Atsushi & Nason, James M. & Rossi, Barbara, 2012. "Information criteria for impulse response function matching estimation of DSGE models," Journal of Econometrics, Elsevier, vol. 170(2), pages 499-518.
  10. Sinan Q. Salih & Intisar Alakili & Ufuk Beyaztas & Shamsuddin Shahid & Zaher Mundher Yaseen, 2021. "Prediction of dissolved oxygen, biochemical oxygen demand, and chemical oxygen demand using hydrometeorological variables: case study of Selangor River, Malaysia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 8027-8046, May.
  11. Oscar Jorda, 2007. "Inference for Impulse Responses," Working Papers 77, University of California, Davis, Department of Economics.
  12. Gianna Figá-Talamanca & Sergio Focardi & Marco Patacca, 2021. "Common dynamic factors for cryptocurrencies and multiple pair-trading statistical arbitrages," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 863-882, December.
  13. Akadiri, Ada Chigozie & Akadiri, Seyi Saint & Gungor, Hasan, 2019. "The role of natural gas consumption in Saudi Arabia's output and its implication for trade and environmental quality," Energy Policy, Elsevier, vol. 129(C), pages 230-238.
  14. 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.
  15. Dewi Sovia & Abd. Majid M. Shabri & Aliasuddin & Kassim Salina, 2018. "Dynamics of Financial Development, Economic Growth, and Poverty Alleviation: The Indonesian Experience," South East European Journal of Economics and Business, Sciendo, vol. 13(1), pages 17-30, June.
  16. Bergman, Michael, 1996. "International evidence on the sources of macroeconomic fluctuations," European Economic Review, Elsevier, vol. 40(6), pages 1237-1258, June.
  17. Izatov, Asset, 2015. "The Role of Oil Prices, Real Effective Exchange Rate and Inflation in Economic Activity of Russia: An Empirical Investigation," MPRA Paper 70735, University Library of Munich, Germany, revised 2015.
  18. Oscar Jorda, 2007. "Inference for Impulse Responses," Working Papers 201, University of California, Davis, Department of Economics.
  19. Asset Izatov, 2015. "The Role of Oil Prices, the Real Effective Exchange Rate, and Inflation in Economic Activity of Russia: An Empirical Investigation," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 1(3), pages 48-70.
  20. Theodoridis, Konstantinos, 2011. "An efficient minimum distance estimator for DSGE models," Bank of England working papers 439, Bank of England.
  21. Kundu, Srikanta & Paul, Amartya, 2022. "Effect of economic policy uncertainty on stock market return and volatility under heterogeneous market characteristics," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 597-612.
  22. Qadan, Mahmoud & Idilbi-Bayaa, Yasmeen, 2020. "Risk appetite and oil prices," Energy Economics, Elsevier, vol. 85(C).
  23. Òscar Jordà & Massimiliano Marcellino, 2010. "Path forecast evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 635-662.
  24. Kilian, Lutz & Kim, Yun Jung, 2009. "Do Local Projections Solve the Bias Problem in Impulse Response Inference?," CEPR Discussion Papers 7266, C.E.P.R. Discussion Papers.
  25. Josheski, Dushko & Lazarov, Darko & Fotov, Risto & Koteski, Cane, 2011. "IS-LM model for US economy: testing in JMULTI," MPRA Paper 34024, University Library of Munich, Germany.
  26. Vesna Bucevska & Borjan Gjelevski & Lea Matevska, 2023. "Oil Prices And Their Long-Term Relationship With Macroeconomic And Financial Indicators," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, vol. 21(1), pages 3-24, May.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.