IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v74y2009i4p727-745.html
   My bibliography  Save this article

Using Threshold Autoregressive Models to Study Dyadic Interactions

Author

Listed:
  • Ellen Hamaker
  • Zhiyong Zhang
  • Han Maas

Abstract

No abstract is available for this item.

Suggested Citation

  • Ellen Hamaker & Zhiyong Zhang & Han Maas, 2009. "Using Threshold Autoregressive Models to Study Dyadic Interactions," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 727-745, December.
    • Handle: RePEc:spr:psycho:v:74:y:2009:i:4:p:727-745
    DOI: 10.1007/s11336-009-9113-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11336-009-9113-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11336-009-9113-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Birgit Strikholm & Timo Teräsvirta, 2006. "A sequential procedure for determining the number of regimes in a threshold autoregressive model," Econometrics Journal, Royal Economic Society, vol. 9(3), pages 472-491, November.
    2. Gonzalo, Jesus & Wolf, Michael, 2005. "Subsampling inference in threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 127(2), pages 201-224, August.
    3. Toni L. Bisconti & C. S. Bergeman & Steven M. Boker, 2004. "Emotional Well-Being in Recently Bereaved Widows: A Dynamical Systems Approach," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 59(4), pages 158-167.
    4. Hansen Bruce E., 1997. "Inference in TAR Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(1), pages 1-16, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter Halpin & Paul Boeck, 2013. "Modelling Dyadic Interaction with Hawkes Processes," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 793-814, October.
    2. Joel Steele & Emilio Ferrer & John Nesselroade, 2014. "An Idiographic Approach to Estimating Models of Dyadic Interactions with Differential Equations," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 675-700, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martinez Oscar & Olmo Jose, 2012. "A Nonlinear Threshold Model for the Dependence of Extremes of Stationary Sequences," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-39, September.
    2. Yoldas Emre, 2012. "Threshold Asymmetries in Equity Return Distributions: Statistical Tests and Investment Implications," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-37, December.
    3. Wei-han Liu & Zhefang Zhou, 2009. "Inflation-hedging Behavior of a Securitized Real Estate Market," International Real Estate Review, Global Social Science Institute, vol. 12(3), pages 221-251.
    4. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    5. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332.
    6. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332, April.
    7. Li, Dong & Tong, Howell, 2016. "Nested sub-sample search algorithm for estimation of threshold models," LSE Research Online Documents on Economics 68880, London School of Economics and Political Science, LSE Library.
    8. Li, Dong & Ling, Shiqing, 2012. "On the least squares estimation of multiple-regime threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 167(1), pages 240-253.
    9. Peter Martey Addo, 2014. "Multivariate Self-Exciting Threshold Autoregressive Models with eXogenous Input," Papers 1407.7738, arXiv.org.
    10. Bhattacharya, Prasad S. & Thomakos, Dimitrios D., 2008. "Forecasting industry-level CPI and PPI inflation: Does exchange rate pass-through matter?," International Journal of Forecasting, Elsevier, vol. 24(1), pages 134-150.
    11. Albert J.F. Yang & William N. Trumbull & Chin Wei Yang & Bwo‐Nung Huang, 2011. "On The Relationship Between Military Expenditure, Threat, And Economic Growth: A Nonlinear Approach," Defence and Peace Economics, Taylor & Francis Journals, vol. 22(4), pages 449-457, April.
    12. Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
    13. Fushing Hsieh & Emilio Ferrer & Shu-Chun Chen & Sy-Miin Chow, 2010. "Exploring the Dynamics of Dyadic Interactions via Hierarchical Segmentation," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 351-372, June.
    14. Jyh‐Lin Wu & Pei‐Fen Chen & Ching‐Nun Lee, 2009. "Purchasing Power Parity, Productivity Differentials And Non‐Linearity," Manchester School, University of Manchester, vol. 77(3), pages 271-287, June.
    15. Kapetanios, G. & Tzavalis, E., 2010. "Modeling structural breaks in economic relationships using large shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 417-436, March.
    16. Gerson Nhapulo & João Nicolau, 2017. "Assessing Nonlinear Dynamics of Central Bank Reaction Function: The Case of Mozambique," South African Journal of Economics, Economic Society of South Africa, vol. 85(1), pages 28-51, March.
    17. Gabriel Vasco J. & Alexandre Fernando & Bação Pedro, 2008. "The Consumption-Wealth Ratio under Asymmetric Adjustment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(4), pages 1-32, December.
    18. Eric Hillebrand & Marcelo C. Medeiros, 2016. "Nonlinearity, Breaks, and Long-Range Dependence in Time-Series Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 23-41, January.
    19. Sokbae Lee & Myung Hwan Seo & Youngki Shin, 2017. "Correction," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 883-883, April.
    20. Kulaksizoglu, Tamer, 2004. "Measuring the Effectiveness of Competition Policy: Evidence from the Turkish Cement Industry," MPRA Paper 357, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:74:y:2009:i:4:p:727-745. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.