Estimation of structural impulse responses: short-run versus long-run identifying restrictions
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DOI: 10.1007/s10182-017-0300-9
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- Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2017. "Estimation of Structural Impulse Responses: Short-Run versus Long-Run Identifying Restrictions," Discussion Papers of DIW Berlin 1642, DIW Berlin, German Institute for Economic Research.
- Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2017. "Estimation of Structural Impulse Responses: Short-Run versus Long-run Identifying Restrictions," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168061, Verein für Socialpolitik / German Economic Association.
References listed on IDEAS
- 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.
- Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
- Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," NBER Working Papers 2737, National Bureau of Economic Research, Inc.
- Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007.
"ABCs (and Ds) of Understanding VARs,"
American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
- Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Thomas J. Sargent, 2005. "A,B,C's (and D's)'s for Understanding VARS," Levine's Bibliography 172782000000000096, UCLA Department of Economics.
- Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez & Thomas J. Sargent, 2005. "A, B, C’s (And D’s) For Understanding VARS," PIER Working Paper Archive 05-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Jesus Fernandez-Villaverde & Juan Rubio-Ramirez & Thomas J. Sargent, 2005. "A, B, C's (and D)'s for Understanding VARs," NBER Technical Working Papers 0308, National Bureau of Economic Research, Inc.
- Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Thomas J. Sargent, 2005. "A, B, C’s, (and D’s) for understanding VARs," FRB Atlanta Working Paper 2005-09, Federal Reserve Bank of Atlanta.
- Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Thomas J. Sargent & Mark Watson, 2006. "A,B,C's (and D's)'s for Understanding VARS," Levine's Bibliography 321307000000000646, UCLA Department of Economics.
- Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2006.
"Alternative Procedures for Estimating Vector Autoregressions Identified with Long-Run Restrictions,"
Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 475-483, 04-05.
- Lawrence J. Christiano & Martin S. Eichenbaum & Robert J. Vigfusson, 2005. "Alternative procedures for estimating vector autoregressions identified with long-run restrictions," International Finance Discussion Papers 842, Board of Governors of the Federal Reserve System (U.S.).
- Ravenna, Federico, 2007.
"Vector autoregressions and reduced form representations of DSGE models,"
Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2048-2064, October.
- Federico Ravenna, 2005. "Vector Autoregressions and Reduced Form Representations of DSGE Models," 2005 Meeting Papers 841, Society for Economic Dynamics.
- Federico Ravenna, 2006. "Vector autoregressions and reduced form representations of DSGE models," Working Papers 0619, Banco de España.
- Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2015.
"Comparison of methods for constructing joint confidence bands for impulse response functions,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 782-798.
- Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2013. "Comparison of Methods for Constructing Joint Confidence Bands for Impulse Response Functions," Discussion Papers of DIW Berlin 1292, DIW Berlin, German Institute for Economic Research.
- Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2013. "Comparison of Methods for Constructing Joint Confidence Bands for Impulse Response Functions," MAGKS Papers on Economics 201325, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2013. "Comparison of methods for constructing joint confidence bands for impulse response functions," SFB 649 Discussion Papers 2013-031, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999.
"Monetary policy shocks: What have we learned and to what end?,"
Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148,
Elsevier.
- Lawrence J. Christiano & Martin S. Eichenbaum & Charles L. Evans, 1997. "Monetary policy shocks: what have we learned and to what end?," Working Paper Series, Macroeconomic Issues WP-97-18, Federal Reserve Bank of Chicago.
- Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1998. "Monetary Policy Shocks: What Have We Learned and to What End?," NBER Working Papers 6400, National Bureau of Economic Research, Inc.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005.
"Can Long-Run Restrictions Identify Technology Shocks?,"
Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
- Christopher J. Erceg & Luca Guerrieri, 2004. "Can Long-Run Restrictions Identify Technology Shocks?," Computing in Economics and Finance 2004 3, Society for Computational Economics.
- Christopher J. Erceg & Luca Guerrieri & Christopher J. Gust, 2004. "Can long-run restrictions identify technology shocks?," International Finance Discussion Papers 792, Board of Governors of the Federal Reserve System (U.S.).
- Gospodinov, Nikolay, 2010. "Inference in Nearly Nonstationary SVAR Models With Long-Run Identifying Restrictions," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 1-12.
- Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2015. "Confidence Bands for Impulse Responses: Bonferroni vs. Wald," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(6), pages 800-821, December.
- Lutz Kilian, 2009.
"Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market,"
American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
- Kilian, Lutz, 2006. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," CEPR Discussion Papers 5994, C.E.P.R. Discussion Papers.
- Faust, Jon & Leeper, Eric M, 1997.
"When Do Long-Run Identifying Restrictions Give Reliable Results?,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-353, July.
- Jon Faust & Eric M. Leeper, 1994. "When do long-run identifying restrictions give reliable results?," FRB Atlanta Working Paper 94-2, Federal Reserve Bank of Atlanta.
- Jon Faust & Eric M. Leeper, 1994. "When do long-run identifying restrictions give reliable results?," International Finance Discussion Papers 462, Board of Governors of the Federal Reserve System (U.S.).
- repec:diw:diwwpp:dp1354 is not listed on IDEAS
- Robert Vigfusson, 2007. "The Power of Long-Run VARs," 2007 Meeting Papers 437, Society for Economic Dynamics.
- Kilian,Lutz & Lütkepohl,Helmut, 2018.
"Structural Vector Autoregressive Analysis,"
Cambridge Books,
Cambridge University Press, number 9781107196575, January.
- Kilian,Lutz & Lütkepohl,Helmut, 2017. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781316647332, January.
- 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.
- Winker, Peter & Helmut, Lütkepohl & Staszewska-Bystrova, Anna, 2014.
"Confidence Bands for Impulse Responses: Bonferroni versus Wald,"
VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy
100597, Verein für Socialpolitik / German Economic Association.
- Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2014. "Confidence bands for impulse responses: Bonferroni versus Wald," SFB 649 Discussion Papers 2014-007, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2014. "Confidence Bands for Impulse Responses: Bonferroni versus Wald," CESifo Working Paper Series 4634, CESifo.
- Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2014. "Confidence Bands for Impulse Responses: Bonferroni versus Wald," Discussion Papers of DIW Berlin 1354, DIW Berlin, German Institute for Economic Research.
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- Barbieri Góes, Maria Cristina & Deleidi, Matteo, 2022. "Output determination and autonomous demand multipliers: An empirical investigation for the US economy," Economic Modelling, Elsevier, vol. 116(C).
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More about this item
Keywords
Impulse responses; Structural vector autoregressive model; Long-run multipliers; Short-run multipliers;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
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