IDEAS home Printed from
   My bibliography  Save this article

Determination of Aggregate Imports Function: Time Series Evidence for Tunisia


  • Haider Mehmood

    () (COMSATS Institute of Information Technology, Lahore, Pakistan)

  • Amjad Ali

    (National College of Business Administration and Economics (NCBA&E), Lahore, Pakistan)

  • Muhammad Irfan Chani

    (National College of Business Administration and Economics (NCBA&E), Lahore, Pakistan)


The objective of present study is to examine the role of import demand function for Tunisia. We utilize Autoregressive Distributed Lag (ADRL) to bound testing approach to cointegration. The time period include for this purpose starts from 1980 and ends at 2009. The overall results indicate that long run relationship exist among import demand, household consumption and exports in Tunisia. Furthermore, import demand of Tunisia is highly elastic for final consumption of household and exports of Tunisia but it is inelastic in case of investment as well as relative prices in long run. But in short run, import demand reveals that inelastic behavior relative to final consumption of household, domestic investment, exports, and relative prices in Tunisia. Our results provide new insights for policy to reconsider the import demand function in Tunisia.

Suggested Citation

  • Haider Mehmood & Amjad Ali & Muhammad Irfan Chani, 2013. "Determination of Aggregate Imports Function: Time Series Evidence for Tunisia," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 1(6), pages 74-82, June.
  • Handle: RePEc:ijr:journl:v:1:y:2013:i:6:p:74-82

    Download full text from publisher

    File URL:,%201_6_,%2074-82.pdf
    Download Restriction: no

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Sonia Liaqat & Muhammad Irfan Chani, 2018. "The Impact of Exports Diversification on Economic Growth: Evidence from Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 7(4), pages 156-168, December.
    2. Zeshan Arshad & Saba Mukhtar & Amina Bibi & Azeema Zia, 2015. "Imports and Exports of Pakistan Time Series (1970-2013)," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(10), pages 473-478, October.

    More about this item


    Import Demand; House Hold Consumption; Exports; Relative Prices; ARDL;

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F10 - International Economics - - Trade - - - General


    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:ijr:journl:v:1:y:2013:i:6:p:74-82. 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: (Dr. Muhammad Shahbaz (PhD Applied Economics)). 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 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.

    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.