IDEAS home Printed from https://ideas.repec.org/a/hyp/journl/v3y2015i1p3-19.html
   My bibliography  Save this article

“Revenue-led Spending” or “Spending-led Revenue” : Evidence from Iran (1978-2012)

Author

Listed:
  • Abbas ali Rezaei

    (Organization of Finance and Economic affairs in Sistan & Baluchestan)

Abstract

The main purpose of this study is to investigate the Long and short Run relationship between government revenue and government expenditure in Iran Country covering data 1978- 2012 with using An Auto Regressive Distributive Lag (ARDL) Approach. We investigated causality between revenue and government expenditure by using an application of Toda-Yamamoto approach. Autoregressive Distributeded Lag (ARDL) technique is used to describe both long run relationships and short run dynamic adjustments between government revenue and expenditure variables. The results of this paper support the Freidman (1978) hypothesis that government revenues cause expenditure and revenues have a positive causal impact on government expenditure.

Suggested Citation

  • Abbas ali Rezaei, 2015. "“Revenue-led Spending” or “Spending-led Revenue” : Evidence from Iran (1978-2012)," Hyperion Economic Journal, Faculty of Economic Sciences, Hyperion University of Bucharest, Romania, vol. 3(1), pages 3-19, March.
    • Handle: RePEc:hyp:journl:v:3:y:2015:i:1:p:3-19
    as

    Download full text from publisher

    File URL: http://hej.hyperion.ro/articles/1(3)_2015/HEJ%20nr1(3)_2015_A1Razaei.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    structural break; Toda-Yamamoto approach; ARDL technique; and Iranian economy;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:hyp:journl:v:3:y:2015:i:1:p:3-19. 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: Iulian Panait (email available below). General contact details of provider: https://edirc.repec.org/data/fehypro.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.