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On the identification of structural vector autoregressions

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  • Pierre-Daniel G. Sarte
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  • Pierre-Daniel G. Sarte, 1997. "On the identification of structural vector autoregressions," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 45-68.
    • Handle: RePEc:fip:fedreq:y:1997:i:sum:p:45-68
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    References listed on IDEAS

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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
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    4. Phillips, P.C.B., 1989. "Partially Identified Econometric Models," Econometric Theory, Cambridge University Press, vol. 5(2), pages 181-240, August.
    5. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    6. Robert G. King & Mark W. Watson, 1997. "Testing long-run neutrality," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 69-101.
    7. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : II. New directions," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 309-341.
    8. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    9. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156, National Bureau of Economic Research, Inc.
    10. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    11. Hillier, Grant H., 1985. "On the Joint and Marginal Densities of Instrumental Variable Estimators in a General Structural Equation," Econometric Theory, Cambridge University Press, vol. 1(1), pages 53-72, April.
    12. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    13. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 123-180, National Bureau of Economic Research, Inc.
    14. Cooley, Thomas F. & Leroy, Stephen F., 1985. "Atheoretical macroeconometrics: A critique," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 283-308, November.
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    Cited by:

    1. Peter Claeys, 2007. "Estimating the effects of fiscal policy under the budget constraint," IREA Working Papers 200715, University of Barcelona, Research Institute of Applied Economics, revised Jul 2007.
    2. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106, National Bureau of Economic Research, Inc.
    3. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    4. Afonso, Antonio & Claeys, Peter, 2008. "The dynamic behaviour of budget components and output," Economic Modelling, Elsevier, vol. 25(1), pages 93-117, January.
    5. Michael Dotsey, 1999. "Structure from shocks," Working Paper 99-06, Federal Reserve Bank of Richmond.
    6. Fernald, John G., 2007. "Trend breaks, long-run restrictions, and contractionary technology improvements," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2467-2485, November.
    7. Dean Croushore & Tom Stark, 2002. "Is macroeconomic research robust to alternative data sets?," Working Papers 02-3, Federal Reserve Bank of Philadelphia.
    8. Bernanke, Ben S. & Mihov, Ilian, 1998. "The liquidity effect and long-run neutrality," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 149-194, December.
    9. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    10. António Afonso & Peter Claeys, 2006. "The dynamic behaviour of budget components and output – the cases of France, Germany, Portugal, and Spain," Working Papers Department of Economics 2006/26, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    11. Joaquim Pina, 2009. "Do international spillovers matter for long run neutrality?," Economics Bulletin, AccessEcon, vol. 29(3), pages 1570-1587.
    12. Taiwo Peace Ogun, 2010. "Infrastructure and Poverty Reduction: Implications for Urban Development in Nigeria," WIDER Working Paper Series wp-2010-043, World Institute for Development Economic Research (UNU-WIDER).
    13. Özge Barış-Tüzemen & Samet Tüzemen, 2021. "Revisiting The Role Of Exchange Rate Volatility In Turkey’S Exports: Evidence From The Structural Var Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 66(231), pages 127-150, October –.
    14. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    15. Michael Dotsey, 2002. "Structure from shocks," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 37-47.
    16. Ogun, T. P., 2010. "Infrastructure and Poverty Reduction: Implications for Urban Development in Nigeria," WIDER Working Paper Series 043, World Institute for Development Economic Research (UNU-WIDER).

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    Keywords

    Vector autoregression;

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