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Covariance Matrix Estimation for Estimators of Mixing Wold's Arma

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  • Christian Francq

    (Crest)

  • Jean-Michel Zakoïan

    (Crest)

Abstract

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Suggested Citation

  • Christian Francq & Jean-Michel Zakoïan, 1997. "Covariance Matrix Estimation for Estimators of Mixing Wold's Arma," Working Papers 97-19, Center for Research in Economics and Statistics.
  • Handle: RePEc:crs:wpaper:97-19
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    File URL: http://crest.science/RePEc/wpstorage/1997-19.pdf
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    References listed on IDEAS

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    1. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 291-303.
    2. David Autor & Lawrence Katz & Alan Krueger, 1997. "Computing Inequality: Have Computers Changed the Labor Market?," Working Papers 756, Princeton University, Department of Economics, Industrial Relations Section..
    3. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    4. repec:fth:prinin:377 is not listed on IDEAS
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    Cited by:

    1. Dabo-Niang, Sophie & Francq, Christian & Zakoian, Jean-Michel, 2009. "Combining parametric and nonparametric approaches for more efficient time series prediction," MPRA Paper 16893, University Library of Munich, Germany.
    2. Ole E. Barndorff-Nielsen & Shephard, 2002. "Econometric analysis of realized volatility and its use in estimating stochastic volatility models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 253-280.
    3. Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, pages 345-361.
    4. Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, pages 345-361.

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