IDEAS home Printed from https://ideas.repec.org/a/spr/stmapp/v6y1997i3p245-255.html
   My bibliography  Save this article

Identifiability conditions for Generalised STARMA models

Author

Listed:
  • Giuseppina Guagnano
  • Silvia Terzi

Abstract

No abstract is available for this item.

Suggested Citation

  • Giuseppina Guagnano & Silvia Terzi, 1997. "Identifiability conditions for Generalised STARMA models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 6(3), pages 245-255, December.
    • Handle: RePEc:spr:stmapp:v:6:y:1997:i:3:p:245-255
    DOI: 10.1007/BF03178915
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF03178915
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF03178915?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. Hannan, E J, 1971. "The Identification Problem for Multiple Equation Systems with Moving Average Errors," Econometrica, Econometric Society, vol. 39(5), pages 751-765, September.
    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. Valter Di Giacinto, 2006. "A Generalized Space-Time ARMA Model with an Application to Regional Unemployment Analysis in Italy," International Regional Science Review, , vol. 29(2), pages 159-198, April.

    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. van der Genugten, B.B., 1976. "A general approach to identification," Other publications TiSEM fc91ed21-63b4-43d1-b480-6, Tilburg University, School of Economics and Management.
    2. M. Deistler & B. Pötscher & J. Schrader, 1984. "The uniqueness of the transfer function of linear systems from input-output observations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 31(1), pages 157-181, December.
    3. Cotti, Chad & Courtemanche, Charles & Maclean, Joanna Catherine & Nesson, Erik & Pesko, Michael F. & Tefft, Nathan W., 2022. "The effects of e-cigarette taxes on e-cigarette prices and tobacco product sales: Evidence from retail panel data," Journal of Health Economics, Elsevier, vol. 86(C).
    4. Luisa Corrado & Sean Holly, 2006. "The Linearisation and Optimal Control of Large Non-Linear Rational Expectations Models by Persistent Excitation," Computational Economics, Springer;Society for Computational Economics, vol. 28(2), pages 139-153, September.
    5. Poncela, Pilar, 1996. "Pooling information and forecasting with dynamic factor analysis," DES - Working Papers. Statistics and Econometrics. WS 10709, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Martin Fukac & Adrian Pagan, 2009. "Structural Macro-Econometric Modelling in a Policy Environment," NCER Working Paper Series 50, National Centre for Econometric Research.
    7. Massimiliano Marcellino & Oscar Jorda, "undated". "Stochastic Processes Subject to Time-Scale Transformations: An Application to High-Frequency FX Data," Working Papers 164, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    8. Tian, Guoqiang, 1982. "Studies on the identification problem of the simultaneous economic models from viewpoint of unique determination of parameters (I)," MPRA Paper 41303, University Library of Munich, Germany.
    9. Kriwoluzky, Alexander, 2012. "Pre-announcement and timing: The effects of a government expenditure shock," European Economic Review, Elsevier, vol. 56(3), pages 373-388.
    10. Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.
    11. Bušs, Ginters, 2009. "Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach," MPRA Paper 16684, University Library of Munich, Germany.
    12. Palm, Franz & Zellner, Arnold, 1981. "Large sample estimation and testing procedures for dynamic equation systems," Journal of Econometrics, Elsevier, vol. 17(1), pages 131-138, September.
    13. van der Genugten, B.B., 1976. "A general approach to identification," Research Memorandum FEW 61, Tilburg University, School of Economics and Management.
    14. Hsiao, Cheng & Robinson, P M, 1978. "Efficient Estimation of a Dynamic Error-Shock Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 467-479, June.
    15. Deistler, Manfred & Koelbl, Lukas & Anderson, Brian D.O., 2017. "Non-identifiability of VMA and VARMA systems in the mixed frequency case," Econometrics and Statistics, Elsevier, vol. 4(C), pages 31-38.
    16. Jean-Marie Dufour & Tarek Jouini, 2011. "Asymptotic Distributions for Some Quasi-Efficient Estimators in Echelon VARMA Models," CIRANO Working Papers 2011s-25, CIRANO.
    17. Bernd Funovits, 2019. "Identification and Estimation of SVARMA models with Independent and Non-Gaussian Inputs," Papers 1910.04087, arXiv.org.
    18. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.
    19. André Klein & Guy Melard, 2020. "Invertibility Condition of the Fisher Information Matrix of a VARMAX Process and the Tensor Sylvester Matrix," Working Papers ECARES 2020-11, ULB -- Universite Libre de Bruxelles.
    20. Tigelaar, H.H., 1983. "Identification of noisy linear systems with multiple ARMA inputs," Other publications TiSEM 51018fe5-aac0-4522-a275-e, Tilburg University, School of Economics and Management.

    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:stmapp:v:6:y:1997:i:3:p:245-255. 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.