IDEAS home Printed from https://ideas.repec.org/a/qua/journl/v21y2024i1p39-58.html
   My bibliography  Save this article

Una propuesta para medir el ciclo economico

Author

Listed:
  • Randall Romero-Aguilar

    (Universidad de Costa Rica. Escuela de Economía. Costa Rica)

Abstract

Objetive: To quantify the uncertainty associated to the estimation of the current value of the business cycle. Methodology: The Baxter and King filter is applied to an time series expanded with forecasts, assuming a random walk, and confidence intervals are build for the cyclical component both analytically and using bootstrap. Limitations: The quality of the confidence 1 intervals deteriorates when there is a structural break in the time series. Originality: The original contribution of this article is a proposed methodology to jointly determined the current phase of the business cycle and the uncertainty associated with such measurement. Conclusions: For Costa Rica, the proposed method provides estimations of the business cycle that are less sensitive to new data points than the Hodrick and Prescott filter, and simulations show that the proposed confidence intervals provide the specified nominal confidence.

Suggested Citation

  • Randall Romero-Aguilar, 2024. "Una propuesta para medir el ciclo economico," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 21(1), pages 39-58, January-J.
  • Handle: RePEc:qua:journl:v:21:y:2024:i:1:p:39-58
    as

    Download full text from publisher

    File URL: https://econoquantum.cucea.udg.mx/index.php/EQ/article/view/7325/6801
    Download Restriction: no

    File URL: https://econoquantum.cucea.udg.mx/index.php/EQ/issue/view/705
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    business cycle; Baxter-King filter; projections; confidence intervals; Bootstrap.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:qua:journl:v:21:y:2024:i:1:p:39-58. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sandra Ivett Portugal Padilla (email available below). General contact details of provider: https://edirc.repec.org/data/dmudgmx.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.