IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/59284.html
   My bibliography  Save this paper

Qualitative variables and their reduction possibility. Application to time series models

Author

Listed:
  • Ciuiu, Daniel

Abstract

In this paper we will study the influence of qualitative variables on the unit root tests for stationarity. For the linear regressions involved the implied assumption is that they are not influenced by such qualitative variables. For this reason, after we have introduced such variables, we check first if we can remove some of them from the model. The considered qualitative variables are according the corresponding coefficient (the intercept, the coefficient of Xt −1 and the coefficient of t ), and on the different groups built tacking into account the characteristics of the time moments.

Suggested Citation

  • Ciuiu, Daniel, 2013. "Qualitative variables and their reduction possibility. Application to time series models," MPRA Paper 59284, University Library of Munich, Germany, revised Aug 2013.
    • Handle: RePEc:pra:mprapa:59284
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/59284/1/MPRA_paper_59284.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dobrescu, Emilian, 2010. "Macromodel Simulations for the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 7-28, July.
    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. Dorin JULA & Nicolae-Marius JULA, 2017. "Foreign Direct Investments and Employment. Structural Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 29-44, June.
    2. Dorin Jula & Nicoleta Jula, 2017. "The Phillips Curve for the Romanian Economy, 1992-2017," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 5(1), pages 36-48, June.

    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. Stanica, Cristian Nicolae, 2013. "Using a Macroeconomic Model to Check Forecast Consistency," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 119-135, March.
    2. Stanica, Cristian Nicolae, 2011. "Modeling Government Policies used for Sustaining Economic Growth in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 90-105, December.
    3. Amalia Cristescu & Maria Denisa Vasilescu & Larisa Stanila & Madalina Ecaterina Popescu, 2013. "Regional Analysis Of The Real Earnings In Romania," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 7(2), pages 58-78, DECEMBER.
    4. Andreica, Madalina Ecaterina & Andreica, Marin, 2014. "Forecast of Romanian Industry Employment using Simulation and Panel Data Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 130-140, June.
    5. Andrei, Dalina Maria, 2012. "Foreign Direct Investments in Romania. A Structural and Dynamic View," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 129-146, December.
    6. Iancu, Aurel, 2013. "Financialisation: Structure, Extent, Consequences," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 172-192, June.

    More about this item

    Keywords

    Qualitative variables; Dickey-Fuller; ARIMA; GDP; homogeneity.;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:59284. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.