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Revisiting Identification and estimation in Structural VARMA Models

Author

Listed:
  • Christian Gouriéroux

    (CREST and University of Toronto)

  • Alain Monfort

    (CREST and banque de France)

Abstract

participants with high observed strength levels have smaller expected strength-shocks than

Suggested Citation

  • Christian Gouriéroux & Alain Monfort, 2014. "Revisiting Identification and estimation in Structural VARMA Models," Working Papers 2014-30, Center for Research in Economics and Statistics.
    • Handle: RePEc:crs:wpaper:2014-30
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    File URL: http://crest.science/RePEc/wpstorage/2014-30.pdf
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    Citations

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    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Gouriéroux, Christian & Monfort, Alain & Renne, Jean-Paul, 2017. "Statistical inference for independent component analysis: Application to structural VAR models," Journal of Econometrics, Elsevier, vol. 196(1), pages 111-126.
    3. Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017. "Identification and estimation of non-Gaussian structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.
    4. Herwartz, Helmut & Plödt, Martin, 2016. "The macroeconomic effects of oil price shocks: Evidence from a statistical identification approach," Journal of International Money and Finance, Elsevier, vol. 61(C), pages 30-44.
    5. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.

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