IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v3y2009i11p59.html
   My bibliography  Save this article

A Non-parametric Regression Model for Consumption of Urban Residents and Foreign Exchange Reserve

Author

Listed:
  • Yi Ning
  • Xiangdong Song

Abstract

The consumption of urban residents and the foreign exchange reserves are important indicators of economic development and between which there existed a stable relationship. Local polynomial regression estimation method of the non-parametric regression model is discussed and considering the historical data of China’s consumption of urban residents and foreign exchange reserves from 1981 to 2003, which was researched using the local polynomial regression estimation method of the non-parametric regression model, we built its non-parametric regression model and compare it with the polynomial fitting model. The results showed that non-parametric regression model is superior to polynomial fitting model.

Suggested Citation

  • Yi Ning & Xiangdong Song, 2009. "A Non-parametric Regression Model for Consumption of Urban Residents and Foreign Exchange Reserve," Modern Applied Science, Canadian Center of Science and Education, vol. 3(11), pages 1-59, November.
    • Handle: RePEc:ibn:masjnl:v:3:y:2009:i:11:p:59
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/4313/3742
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/4313
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:masjnl:v:3:y:2009:i:11:p:59. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.