IDEAS home Printed from
   My bibliography  Save this article

An econometric estimation of the aggregate import demand function for Bangladesh: some further results


  • Anisul Islam
  • M. Kabir Hassan


This study empirically estimates some critical parameters of the aggregate import demand function for Bangladesh for Bangladesh using quarterly time series data and by applying the Johansen-Juselius multivariate cointegration technique. Cointegration results indicate that the import demand function is dominated by income and relative prices. The income elasticity is significantly positive and exceeds unity indicating that aggregate imports are to be considered as 'luxury' goods. The effect of the relative price variable is significantly negative but its elasticity coefficient is less than unity.

Suggested Citation

  • Anisul Islam & M. Kabir Hassan, 2004. "An econometric estimation of the aggregate import demand function for Bangladesh: some further results," Applied Economics Letters, Taylor & Francis Journals, vol. 11(9), pages 575-580.
  • Handle: RePEc:taf:apeclt:v:11:y:2004:i:9:p:575-580 DOI: 10.1080/1350485042000217990

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    2. Andersson, Mari & Senauer, Benjamin, 1994. "Non-Purchasing Households In Food Expenditure Surveys: An Analysis For Potatoes In Sweden," Staff Papers 13232, University of Minnesota, Department of Applied Economics.
    3. Manrique, Justo & Jensen, Helen H., 1998. "Spanish Household Demand For Seafood Products," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20997, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Han, Tong & Cramer, Gail L. & Wahl, Thomas I., 1997. "Rural Household Food Consumption in China: Evidence from the Rural Household Survey," 1997 Annual Meeting, July 13-16, 1997, Reno\Sparks, Nevada 35797, Western Agricultural Economics Association.
    5. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    7. Kellie Curry Raper & Maria Namakhoye Wanzala & Rodolfo Nayga, 2002. "Food expenditures and household demographic composition in the US: a demand systems approach," Applied Economics, Taylor & Francis Journals, vol. 34(8), pages 981-992.
    8. Atanu Saha & Oral Capps & Patrick Byrne, 1997. "Calculating marginal effects in dichotomous - continuous models," Applied Economics Letters, Taylor & Francis Journals, vol. 4(3), pages 181-185.
    9. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Murad, S. M. Woahid, 2012. "Bilateral Export and Import Demand Functions of Bangladesh: A Cointegration Approach," MPRA Paper 36919, University Library of Munich, Germany.
    2. Nasir Iqbal & Ejaz Ghani & Musleh ud Din, 2014. "Pakistan’s Dependency on Imports and Regional Integration," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 19(Special E), pages 395-409, September.
    3. Yu Hsing & A. M. M. Jamal & Wen-jen Hsieh, 2009. "Application of the monetary policy function to output fluctuations in Bangladesh," Economics Bulletin, AccessEcon, vol. 29(3), pages 2113-2122.
    4. Hoque, Mohammad Monjurul & Yusop, Zulkornain, 2010. "Impacts of trade liberalisation on aggregate import in Bangladesh: An ARDL Bounds test approach," Journal of Asian Economics, Elsevier, vol. 21(1), pages 37-52, February.
    5. Caner COLAK & Selman TOKPUNAR & Yasin UZUN, 2014. "Determinants of Sectoral Import in Manufacturing Industry: A Panel Data Analysis," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 14(2), pages 271-281.
    6. repec:pje:journl:article14winiii is not listed on IDEAS

    More about this item


    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:taf:apeclt:v:11:y:2004:i:9:p:575-580. 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: (Chris Longhurst). 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.