IDEAS home Printed from
   My bibliography  Save this paper

Production Function of the Mining Sector of Iran


  • Seyyed Ali Zeytoon Nejad Moosavian


The purpose of this study is to estimate the production function and examine the structure of production in the mining sector of Iran. Several studies have already been conducted in estimating production functions of various economic sectors; however, less attention has been paid to mining sectors. After examining the stationarity of variables using augmented Dickey-Fuller and Phillips-Perron tests, this study estimated the production function of the mining sector of Iran under different scenarios using the co-integration method and time-series data for 1976-2006. The unconstrained Cobb-Douglas production function in Tinbergen form provided better results in terms of theoretical foundations of economics, statistics, and econometrics. These results show that the structure of the mining sector of Iran is both capital-intensive and labour-intensive. Based on the findings of this study, the elasticity of production with respect to capital and labour have been 0.44 and 0.41, respectively. In addition, the coefficient of time variable, as an indicator of technological progress in the production process, is statistically significant representing a positive effect of technological changes on the output of Iran's mining sector.

Suggested Citation

  • Seyyed Ali Zeytoon Nejad Moosavian, 2015. "Production Function of the Mining Sector of Iran," Papers 1509.03703,, revised Sep 2015.
  • Handle: RePEc:arx:papers:1509.03703

    Download full text from publisher

    File URL:
    File Function: Latest version
    Download Restriction: no


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Mehrdad KHADIMEE, 2016. "The Sources of Economic Growth in Iran’s Economy," Journal of Economics Library, KSP Journals, vol. 3(4), pages 621-631, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:arx:papers:1509.03703. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: .

    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: arXiv administrators (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.