IDEAS home Printed from https://ideas.repec.org/p/cte/wsrepe/ws097723.html
   My bibliography  Save this paper

Graphical identification of TAR models

Author

Listed:
  • Sánchez, Ismael

Abstract

This paper proposes an automatic procedure to identify Threshold Autoregressive models and specify the threshold values. The proposed procedure is based on recursive estimation of arranged autoregression. The main advantage of the proposed procedure over its competitors is that the threshold values are automatically detected. The performance of the proposed procedure is evaluated using simulations and real data.

Suggested Citation

  • Sánchez, Ismael, 2009. "Graphical identification of TAR models," DES - Working Papers. Statistics and Econometrics. WS ws097723, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:ws097723
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/rest/api/core/bitstreams/2e5e5d9c-aa46-4a7e-a588-5f3e04480d5b/content
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dick van Dijk & Philip Hans Franses & Michael P. Clements & Jeremy Smith, 2003. "On SETAR non-linearity and forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(5), pages 359-375.
    2. repec:bla:jecsur:v:13:y:1999:i:5:p:551-76 is not listed on IDEAS
    3. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    4. Maravall, Agustin, 1983. "An Application of Nonlinear Time Series Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(1), pages 66-74, January.
    5. Bruce Hansen, 1999. "Testing for Linearity," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 551-576, December.
    6. Hansen,B.E., 1999. "Testing for linearity," Working papers 7, Wisconsin Madison - Social Systems.
    7. Pena, Daniel & Rodriguez, Julio, 2005. "Detecting nonlinearity in time series by model selection criteria," International Journal of Forecasting, Elsevier, vol. 21(4), pages 731-748.
    Full references (including those not matched with items on IDEAS)

    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. Rossen Anja, 2016. "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 389-409, May.
    2. Julio César Alonso Cifuentes, 2022. "Introducción (empleando R) a los modelos univariados no lineales de series de tiempo: Modelo TAR," Icesi Economics Working Papers 20607, Universidad Icesi.
    3. de Morais, Igor Alexandre C. & Portugal, Marcelo Savino, 2005. "A Markov Switching Model for the Brazilian Demand for Imports: Analyzing the Import Substitution Process in Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    4. Julio César Alonso Cifuentes, 2022. "Introducción (empleando R) a los modelos univariados no lineales de series de tiempo: Modelo TAR," Icesi Economics Lecture Notes 20622, Universidad Icesi.
    5. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    6. Aslanidis, Nektarios, 2007. "Business Cycle Regimes in CEECs Production: A Threshold SURE Approach," Working Papers 2072/5318, Universitat Rovira i Virgili, Department of Economics.
    7. 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.
    8. Zacharias Psaradakis & Marián Vávra, 2019. "Portmanteau tests for linearity of stationary time series," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 248-262, February.
    9. 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.
    10. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    11. Kulaksizoglu, Tamer, 2004. "Measuring the Effectiveness of Competition Policy: Evidence from the Turkish Cement Industry," MPRA Paper 357, University Library of Munich, Germany.
    12. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.
    13. Jean-Philippe Gervais, 2011. "Disentangling nonlinearities in the long- and short-run price relationships: an application to the US hog/pork supply chain," Applied Economics, Taylor & Francis Journals, vol. 43(12), pages 1497-1510.
    14. Sergio H. Lence & GianCarlo Moschini & Fabio Gaetano Santeramo, 2018. "Threshold cointegration and spatial price transmission when expectations matter," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 25-39, January.
    15. Hutchison, Michael & Kendall, Jake & Pasricha, Gurnain & Singh, Nirvikar, 2009. "Indian capital control liberalization: Evidence from NDF markets," Working Papers 09/60, National Institute of Public Finance and Policy.
    16. Eugene Canjels & Gauri Prakash-Canjels & Alan M. Taylor, 2004. "Measuring Market Integration: Foreign Exchange Arbitrage and the Gold Standard, 1879-1913," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 868-882, November.
    17. Giorgio Canarella & Stephen M. Miller, 2017. "Did Okun’s law die after the Great Recession?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 52(4), pages 216-226, October.
    18. Perras, Patrizia & Wagner, Niklas, 2020. "Pricing equity-bond covariance risk: Between flight-to-quality and fear-of-missing-out," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    19. Dominika Kolcunova & Tomas Havranek, 2018. "Estimating the Effective Lower Bound on the Czech National Bank’s Policy Rate," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(6), pages 550-577, December.
    20. Aleem, Abdul & Lahiani, Amine, 2014. "A threshold vector autoregression model of exchange rate pass-through in Mexico," Research in International Business and Finance, Elsevier, vol. 30(C), pages 24-33.

    More about this item

    Keywords

    Nonlinear time series;

    Statistics

    Access and download statistics

    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:cte:wsrepe:ws097723. 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: Ana Poveda (email available below). General contact details of provider: http://portal.uc3m.es/portal/page/portal/dpto_estadistica .

    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.