IDEAS home Printed from
   My bibliography  Save this paper

Modelling the economic impact of the Rohingya influx in Southern Bangladesh:


  • Filipski, Mateusz J.
  • Tiburcio, Ernesto
  • Dorosh, Paul A.
  • Hoddinott, John F.
  • Rosenbach, Gracie


In the context of the massive influx of Forcibly Displaced Myanmar Nationals to Bangladesh, this paper aims to evaluate the potential consequences on the Southern Bangladesh economy. It adopts an economywide perspective to study the impacts of increased labor supply and increased consumer demand in a general equilibrium framework, using a Local Economy-wide Impact Evaluation (LEWIE) model. The model is used to illustrate the potential effect of a large arrival of displaced populations on wages, the supply and demand of goods, and incomes of migrant and host populations. Simulations enable comparisons between possible scenarios, including two options for the size of the market being impacted (either the smaller Cox’s Bazar District, or the larger Chittagong Division) and several options for aid provisions from international actors. The databases used are the Forcibly Displaced Myanmar Nationals (FDMN) and Host Community Household Survey carried out by IFPRI, BIDS, WFP and ACF in late 2018 and the official Bangladesh Household Income and Expenditure Survey (HIES) 2016. We find that if the migrants enter the Cox Bazar labor markets only, their large number could potentially lead to a large drop in wage levels of around 30%. However, under similar conditions their impact in the much larger Chittagong Division would be limited to a drop of less than 4%. Cash transfers to migrants could mitigate the wage effects by stimulating local demand, but this effect is limited. Some local households may be hurt due to lower wages and higher prices. Matched transfers to local populations and investments in local industry could potentially offset some of these negative impacts.

Suggested Citation

  • Filipski, Mateusz J. & Tiburcio, Ernesto & Dorosh, Paul A. & Hoddinott, John F. & Rosenbach, Gracie, 2019. "Modelling the economic impact of the Rohingya influx in Southern Bangladesh:," IFPRI discussion papers 1862, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1862

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    BANGLADESH; SOUTH ASIA; ASIA; economic development; migration; refugees; labour market; economic analysis; Local Economy Wide Model; forced migration;

    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:fpr:ifprid:1862. 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 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.