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Estimation of impulse response functions using long autoregression

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  • Pao-Li Chang
  • Shinichi Sakata

Abstract

This article proposes an alternative methodology to estimate impulse response functions without imposing parametric restrictions. The impulse responses are estimated by regressing the series of interest on estimated innovations, which are the residuals obtained from a prior-stage "long autoregression." We establish the consistency and asymptotic normality of the proposed estimator. Copyright Royal Economic Society 2007

Suggested Citation

  • Pao-Li Chang & Shinichi Sakata, 2007. "Estimation of impulse response functions using long autoregression," Econometrics Journal, Royal Economic Society, vol. 10(2), pages 453-469, July.
  • Handle: RePEc:ect:emjrnl:v:10:y:2007:i:2:p:453-469
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    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1368-423X.2007.00216.x
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    Cited by:

    1. Patrick Fève & Alain Guay, 2010. "Identification of Technology Shocks in Structural Vars," Economic Journal, Royal Economic Society, vol. 120(549), pages 1284-1318, December.
    2. Bentour, El Mostafa, 2013. "Should Moroccan Officials Depend on the Workers’ Remittances to Finance the Current Account Deficit?," MPRA Paper 52290, University Library of Munich, Germany, revised 01 May 2013.
    3. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, Elsevier.
    4. Daly, Mary C. & Fernald, John G. & Jordà, Òscar & Nechio, Fernanda, 2013. "Shocks and Adjustments," Working Paper Series 2013-32, Federal Reserve Bank of San Francisco, revised 01 Jul 2017.
    5. Dalibor Stevanovic, 2015. "Factor augmented autoregressive distributed lag models with macroeconomic applications," CIRANO Working Papers 2015s-33, CIRANO.
    6. Wu, Jyh-Lin & Lee, Chingnun & Wang, Tzu-Wei, 2011. "A re-examination on dissecting the purchasing power parity puzzle," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 572-586, April.
    7. 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.

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