IDEAS home Printed from https://ideas.repec.org/a/bok/journl/v12y2006i2p107-146.html
   My bibliography  Save this article

Benchmarking of Korean Economic Time Series (in Korean)

Author

Listed:
  • Geunghee Lee

    (Korea National Open University)

Abstract

For a target economic variable, two economic time series with different periodicities may be available. There are discrepancies between low frequency series such as annual series and high frequency series such as quarterly series In this case the high frequency series are adjusted to make them consistent with low frequency series in a process termed benchmarking. Benchmarking procedures one of two approaches : a numerical approach such as Denton (1971)'s method or a statistical modelling approach such as the methods of Chow and Lin (1971), Fernández (1981) and Litterman (1983). Though most monthly and quarterly Korean economic time series have been benchmarked to annual series, the method is frequently not explicitly disclose, making it difficult to engage in a discussion of benchmarking procedures and carry out related studies. In this paper, we set out various definitions of benchmarking and the case for its necessity, before proceeding to introduce several benchmarking methods. Moreover, the quarterly benchmarked series of manufacturing GDP and facilities investment based on several methods are estimated using related series and are compared in terms with RMS%E and correlation. The comparative study shows that Litterman's method and Chow & Lin's method perform well. In addition, we estimate monthly manufacturing GDP and benchmarked seasonally-adjusted manufacturing GDP.

Suggested Citation

  • Geunghee Lee, 2006. "Benchmarking of Korean Economic Time Series (in Korean)," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 12(2), pages 107-146, June.
  • Handle: RePEc:bok:journl:v:12:y:2006:i:2:p:107-146
    as

    Download full text from publisher

    File URL: http://imer.bok.or.kr/attach/imer_kor/2545/2013/12/1386575756039.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Benchmarking; Temporial Disaggregation; Seasonal Adjustment; Manufacturing GDP; Facilities Investment;
    All these keywords.

    JEL classification:

    • 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
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

    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:bok:journl:v:12:y:2006:i:2:p:107-146. 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: Economic Research Institute (email available below). General contact details of provider: https://edirc.repec.org/data/imbokkr.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.