IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-12-00563.html

A note on the equivalence of the Blanchard and Quah (1989) and Sims (1980) identification procedures

Author

Listed:
  • Hyeon-seung Huh

    (Yonsei University)

  • Yeana Lee

    (Yonsei University)

Abstract

We show that the two-variable VAR model of Blanchard and Quah (1989) produces results identical to those based on the Sims (1980) orthogonalization if the first-ordered variable is not caused in the long run by the second-ordered variable. Some illustrative examples are provided to demonstrate the usefulness of this result.

Suggested Citation

  • Hyeon-seung Huh & Yeana Lee, 2012. "A note on the equivalence of the Blanchard and Quah (1989) and Sims (1980) identification procedures," Economics Bulletin, AccessEcon, vol. 32(3), pages 2646-2652.
    • Handle: RePEc:ebl:ecbull:eb-12-00563
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2012/Volume32/EB-12-V32-I3-P254.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    2. Cover, James Peery & Enders, Walter & Hueng, C. James, 2006. "Using the Aggregate Demand-Aggregate Supply Model to Identify Structural Demand-Side and Supply-Side Shocks: Results Using a Bivariate VAR," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(3), pages 777-790, April.
    3. Ribba, Antonio, 1997. "A note on the equivalence of long-run and short-run identifying restrictions in cointegrated systems," Economics Letters, Elsevier, vol. 56(3), pages 273-276, November.
    4. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ribba, Antonio, 2003. "Permanent-transitory decompositions and traditional measures of core inflation," Economics Letters, Elsevier, vol. 81(1), pages 109-116, October.
    2. Ashima Goyal & Sritama Ray, 2022. "Exploring correlations between aggregate demand and supply shocks in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-004, Indira Gandhi Institute of Development Research, Mumbai, India.
    3. Goyal, Ashima & Ray, Sritama, 2025. "Reducing supply shock-led inflation in emerging markets," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 2278-2301.
    4. Min Gong & Wenpu Li, 2010. "Assessing the role of aggregate demand and supply shocks in China’s macroeconomic fluctuation," Frontiers of Economics in China, Springer;Higher Education Press, vol. 5(3), pages 464-488, September.
    5. Camba-Mendez, Gonzalo & Rodriguez-Palenzuela, Diego, 2003. "Assessment criteria for output gap estimates," Economic Modelling, Elsevier, vol. 20(3), pages 529-562, May.
    6. Mio, Hitoshi, 2002. "Identifying Aggregate Demand and Aggregate Supply Components of Inflation Rate: A Structural Vector Autoregression Analysis for Japan," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 20(1), pages 33-56, January.
    7. Adrian Armas & Lucy Vallejos & Marco Vega, 2010. "Measurement of price indices used by the central bank of Peru," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy and the measurement of inflation: prices, wages and expectations, volume 49, pages 259-283, Bank for International Settlements.
    8. Lei Lei Song, 2003. "The Role of the Unit of Analysis in Tax Policy Reform Evaluations," Melbourne Institute Working Paper Series wp2003n29, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. Dibooglu, Selahattin & Kutan, Ali M., 2001. "Sources of inflation and output fluctuations in Poland and Hungary: Implications for full membership in the European Union," ZEI Working Papers B 16-2001, University of Bonn, ZEI - Center for European Integration Studies.
    10. Catherine Bruneau & Olivier De Bandt, 1999. "La modélisation Var "structurel" : application à la politique monétaire en France," Économie et Prévision, Programme National Persée, vol. 137(1), pages 67-94.
    11. Seamus Hogan & Marianne Johnson & Thérèse Laflèche, 2001. "Core Inflation," Technical Reports 89, Bank of Canada.
    12. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June.
    13. Stefano Siviero & Giovanni Veronese, 2007. "A policy-sensible core-inflation measure for the euro area," Temi di discussione (Economic working papers) 617, Bank of Italy, Economic Research and International Relations Area.
    14. Christopher J. Neely & Christopher J. Waller, 1997. "A Benefit‐Cost Analysis Of Disinflation," Contemporary Economic Policy, Western Economic Association International, vol. 15(1), pages 50-64, January.
    15. Mr. Emil Stavrev, 2009. "Forces Driving Inflation in the New EU10 Members," IMF Working Papers 2009/051, International Monetary Fund.
    16. Joanna Paisley & Chris Salmon, 1995. "How Cyclical is the PSBR?," Bank of England working papers 34, Bank of England.
    17. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2014. "The FRBNY staff underlying inflation gauge: UIG," Staff Reports 672, Federal Reserve Bank of New York.
    18. Durai, S. Raja Sethu & Ramachandran, M., 2007. "Core inflation for India," Journal of Asian Economics, Elsevier, vol. 18(2), pages 365-383, April.
    19. Quinn, Terry & Kenny, Geoff & Meyler, Aidan, 1999. "Inflation Analysis: An Overview," Research Technical Papers 1/RT/99, Central Bank of Ireland.
    20. Carlos Felipe Jaramillo & Edgar Caicedo & Adolfo Cobo & Andrés González & Munir Jalil & Juan Manuel Julio & Luis Fernando Melo, 1999. "La Inflación Básica en Colombia: Evaluación de Indicadores Alternativos," Borradores de Economia 136, Banco de la Republica de Colombia.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-12-00563. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.