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A Multi-Country Structural VAR Model

  • Dungey, Mardi


  • Fry, Renee


Traditionally, the VAR literature has focussed on at most two country/region models. A multi-country SVAR highlights the im- portance of various international inßuences on a small open economy Using the example of the effects of US and Japanese shocks on the Aus- tralian economy we show that incorporating both of these economies as international inßuences, and accounting for possible multicollinear- ity between output variables, makes a substantial difference to the amplitude of the impulse responses recovered from the system.

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Paper provided by The Australian National University, Arndt-Corden Department of Economics in its series Departmental Working Papers with number 2001-04.

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Length: 35 pages
Date of creation: Nov 2000
Date of revision:
Handle: RePEc:pas:papers:2001-04
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  2. McKibbin, W.J. & Wilcoxen, P.J., 1995. "The Theoretical and Empirical Structure of the G-Cubed Model," Papers 118, Brookings Institution - Working Papers.
  3. Shioji, Etsuro, 2000. "Identifying Monetary Policy Shocks in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 14(1), pages 22-42, March.
  4. David O. Cushman & Tao Zha, 1995. "Identifying monetary policy in a small open economy under flexible exchange rates," FRB Atlanta Working Paper 95-7, Federal Reserve Bank of Atlanta.
  5. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
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  7. Selover, David D., 1997. "Business cycle transmission between the United States and Japan: A vector error correction approach," Japan and the World Economy, Elsevier, vol. 9(3), pages 385-411, August.
  8. Hansen,B.E., 1998. "The grid bootstrap and the autoregressive model," Working papers 26, Wisconsin Madison - Social Systems.
  9. Meredith Beechey & Nargis Bharucha & Adam Cagliarini & David Gruen & Christopher Thompson, 2000. "A Small Model of the Australian Macroeconomy," RBA Research Discussion Papers rdp2000-05, Reserve Bank of Australia.
  10. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
  11. Robert J. Gordon, 1998. "Foundations of the Goldilocks Economy: Supply Shocks and the Time-Varying NAIRU," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(2), pages 297-346.
  12. Glenn D. Rudebusch, 1996. "Do measures of monetary policy in a VAR make sense?," Working Papers in Applied Economic Theory 96-05, Federal Reserve Bank of San Francisco.
  13. Lutz Kilian, 1999. "Finite-Sample Properties of Percentile and Percentile-t Bootstrap Confidence Intervals for Impulse Responses," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 652-660, November.
  14. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
  15. John H. Cochrane, 1995. "What do the VARs Mean?: Measuring the Output Effects of Monetary Policy," NBER Working Papers 5154, National Bureau of Economic Research, Inc.
  16. Andrea Brischetto & Graham Voss, 1999. "A Structural Vector Autoregression Model of Monetary Policy in Australia," RBA Research Discussion Papers rdp1999-11, Reserve Bank of Australia.
  17. Garratt, A. & Lee, K. & Pesaran, M. H. & Shin, Y., 1998. "A Long-run Structural Macro-econometric Model of the UK," Cambridge Working Papers in Economics 9812, Faculty of Economics, University of Cambridge.
  18. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
  19. David Gruen & Geoffrey Shuetrim, 1994. "Internationalisation and the Macroeconomy," RBA Annual Conference Volume, in: Philip Lowe & Jacqueline Dwyer (ed.), International Intergration of the Australian Economy Reserve Bank of Australia.
  20. Zha, Tao, 1999. "Block recursion and structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 90(2), pages 291-316, June.
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  22. Peter M. Summers, 1999. "Macroeconomic Forecasting at the Melbourne Institute," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 32(2), pages 197-205.
  23. Brooks, C. & Henry, O.T., 1999. "Linear and Non-Linear Transmission of Equity Return Volatility: Evidence From the US, Japan, and Australia," Department of Economics - Working Papers Series 676, The University of Melbourne.
  24. Monticello, Carlo & Tristani, Oreste, 1999. "What does the single monetary policy do? A SVAR benchmark for the European Central Bank," Working Paper Series 0002, European Central Bank.
  25. Dungey, Mardi & Pagan, Adrian, 2000. "A Structural VAR Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 76(235), pages 321-42, December.
  26. Eichenbaum, Martin & Evans, Charles L, 1995. "Some Empirical Evidence on the Effects of Shocks to Monetary Policy on Exchange Rates," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 975-1009, November.
  27. Selover, David D. & Round, David K., 1996. "Business cycle transmission and interdependence between Japan and Australia," Journal of Asian Economics, Elsevier, vol. 7(4), pages 569-602.
  28. Sims, Christopher A, 1998. "Comment on Glenn Rudebusch's "Do Measures of Monetary Policy in a VAR Make Sense?"," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 933-41, November.
  29. Bennett T. McCallum, 1999. "Recent developments in the analysis of monetary policy rules," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 3-12.
  30. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense? A Reply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 943-48, November.
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