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Citations of
Jonas Andersson

For current contact information and a more complete listing of works, please see here

The citations below have been collected in an experimental project, CitEc. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.

| Working papers | Articles | Access and download statistics

Working papers

  1. Andersson, Jonas, 2004. "Testing for Granger causality in the presence of measurement errors," Discussion Papers 2004/11, Department of Finance and Management Science, Norwegian School of Economics and Business Administration. [Downloadable!]
    Published as:

    Cited by:

    1. Daniel Ventosa-Santaulària & José Eduardo Vera-Valdés, 2008. "Granger-Causality in the presence of structural breaks," Economics Bulletin, Economics Bulletin, vol. 3(61), pages 1-14. [Downloadable!]

  2. Andersson, Jonas & Lyhagen, Johan, 1999. "A long memory panel unit root test: PPP revisited," Working Paper Series in Economics and Finance 303, Stockholm School of Economics. [Downloadable!]

    Cited by:

    1. Jönsson, Kristian, 2003. "Cross-sectional dependency and size distortion in a small-sample homogeneous panel-data unit root test," Working Papers 2003:10, Lund University, Department of Economics.
      Other versions:
    2. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University. [Downloadable!]

Articles

  1. Jonas Andersson, 2005. "Testing for Granger causality in the presence of measurement errors," Economics Bulletin, Economics Bulletin, vol. 3(47), pages 1-13. [Downloadable!]
    Other versions:

    See citations under working paper version above.

  2. Andersson, Jonas, 2001. "On the Normal Inverse Gaussian Stochastic Volatility Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 44-54, January.

    Cited by:

    1. Lars Stentoft, 2008. "American Option Pricing using GARCH models and the Normal Inverse Gaussian distribution," CREATES Research Papers 2008-41, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:
    2. Lars Forsberg & Anders Eriksson, 2004. "The Mean Variance Mixing GARCH (1,1) model," Econometric Society 2004 Australasian Meetings 323, Econometric Society. [Downloadable!]
    3. Malmsten, Hans & Teräsvirta, Timo, 2004. "Stylized Facts of Financial Time Series and Three Popular Models of Volatility," Working Paper Series in Economics and Finance 563, Stockholm School of Economics, revised 03 Sep 2004. [Downloadable!]
    4. Lars Forsberg & Tim Bollerslev, 2002. "Bridging the gap between the distribution of realized (ECU) volatility and ARCH modelling (of the Euro): the GARCH-NIG model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 535-548. [Downloadable!]
    5. Pentti Saikkonen & Markku Lanne, 2004. "A Skewed GARCH-in-Mean Model: An Application to U.S. Stock Returns," Econometric Society 2004 North American Summer Meetings 469, Econometric Society. [Downloadable!]
    6. Esther Ruiz & Helena Veiga, 2006. "Modelling Long-Memory Volatilities With Leverage Effect: Almsv Versus Fiegarch," Statistics and Econometrics Working Papers ws066016, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
      Other versions:
    7. Markku Lanne & Pentti Saikkonen, 2005. "Modeling Conditional Skewness in Stock Returns," Economics Working Papers ECO2005/14, European University Institute. [Downloadable!]
      Other versions:

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This page was last updated on 2009-12-3.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.