IDEAS home Printed from https://ideas.repec.org/p/bbv/wpaper/2005.html
   My bibliography  Save this paper

Modelo de predicción de la inflación en China
[China | Forecasting modeling for China\'s inflation]

Author

Listed:
  • Jinyue Dong

Abstract

Nuestro objetivo es evaluar los resultados de un vasto grupo de modelos de predicción a la hora de pronosticar la inflación china. Se analizan, prueban y evalúan los modelos de predicción tanto estructural como lineal, en función de algunos criterios habituales, como RMSE, MAE y Theil-U. We are trying to assess a large group of forecasting models’ performance in predicting China’s inflation. Both linear and structural forecasting models are discussed, estimated and evaluated based on some typical criteria such as RMSE, MAE and Theil-U.

Suggested Citation

  • Jinyue Dong, 2020. "Modelo de predicción de la inflación en China [China | Forecasting modeling for China\'s inflation]," Working Papers 20/05, BBVA Bank, Economic Research Department.
    • Handle: RePEc:bbv:wpaper:2005
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    projections; Proyecciones; CPI; IPC; Inflation; Inflación; Economic indicators; Indicadores económicos; China; China; Asia; Asia; Regional Analysis China; Análisis Regional China; Working Papers; Documento de Trabajo;
    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
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:bbv:wpaper:2005. 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: OSCAR DE LAS PENAS SANCHEZ-CARO (email available below). General contact details of provider: https://edirc.repec.org/data/ebbvaes.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.