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Research Article

Estimation of non-Gaussian SVAR models: a pseudo-log-likelihood function approach

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Pages 1830-1850 | Received 26 Jun 2022, Accepted 01 Dec 2022, Published online: 23 Dec 2022

References

  • Amari S. Estimating Functions of Independent Component Analysis for Temporally Correlated Signals. Neural Comput. 2000;12: 2083-2107.
  • Amari S, Cardoso JF. Blind Source Separation-Semiparametric Statistical Approach. On Signal Processing. 1997;45:2692-2700.
  • Amari S, Kawanabe M. Information geometry of estimating functions in semi-parametric statistical models. Bernoulli (Andover). 1997;3(1):29-54.
  • Bhattarai S, Chatterjee A, Park WY. Effects of US quantitative easing on emerging market economies. J Econ Dyn Control. 2021;122:104031.
  • Gourieroux C, Monfort A, Renme J. Statistical inference for independent component analysis: application to structural VAR models. J Econom. 2017;196:111-126.
  • Hyvärinen A, Karhunen J, Oja E. Independent component analysis. New York (NY): JOHN WILEY & SONS, INC; 2001.
  • Hyvärinen A, Oja E. Independent component analysis: algorithms and applications. Neural Netw. 2000;13: 411-430.
  • Hyvärinen A, Zhang K, Shimizu S, et al. Estimation of structural vector autoregression model using non-gaussianity. J Mach Learn Res. 2010;11:1709-1731.
  • Lanne M, Meitz M, Saikonen P. Identification and estimation of non-gaussian structural vector autorepression. J Econom. 2017;196:288-304.
  • Maekawa K. Causal inference by non-Gaussian SVAR model: with an application to Japan’s quantitative easing policy. Hiroshima University of Economics 50th Anniversary Commemorative Papers. 2017;1:25-62.
  • Maekawa K. Identification and estimation of structural VAR model (II): under the non-Gaussian errors. HUE Journal of Economics and Business. 2021;44(2):21-32.
  • Moneta A, Entner D, Hoyer PO, et al, Causal inference by independent component analysis: theory and applications. Oxf Bull Econ Stat. 2013;75(5):705-730.
  • Shimizu S, Hoyer PO, Hyvärinen A, et al. A linear non-gaussian acyclic model for causal discovery. Journal of Machine Leaning Research. 2006;7:2003-2030.

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