IDEAS home Printed from https://ideas.repec.org/p/aer/wpaper/dc7acd7e-1720-4fa1-bf7f-d4650d31e34e.html
   My bibliography  Save this paper

Identification and Estimation of Quadratic Food Engel Curves: Evidence from Cameroon

Author

Listed:
  • Wirba, Ebenezer Lemven

Abstract

In this paper we estimate quadratic food Engel curves using data from the 2001, 2007 and 2014 Cameroon household consumption surveys. To address potential mismeasurement of regressors, we employ the heteroscedasticity based identification strategy. Exploratory non-parametric analyses suggest quadratic forms for the food Engel curves. The regression results in this study confirm these patterns. At lower spending levels, unit increases in total spending increase the food budget share, while at levels above the spending thresholds unit increases in total spending reduce the food budget share. We POLICY BRIEF Identification and Estimation of Quadratic Food Engel Curves: Evidence from Cameroon Ebenezer Lemven Wirba October 2023 / No.809 2 Policy Brief No.809 also find evidence of major shifts in the quadratic food Engel curves over time. These findings suggest that reducing taxes on food items would be more beneficial to poor households.

Suggested Citation

  • Wirba, Ebenezer Lemven, 2024. "Identification and Estimation of Quadratic Food Engel Curves: Evidence from Cameroon," Working Papers dc7acd7e-1720-4fa1-bf7f-d, African Economic Research Consortium.
    • Handle: RePEc:aer:wpaper:dc7acd7e-1720-4fa1-bf7f-d4650d31e34e
    Note: African Economic Research Consortium
    as

    Download full text from publisher

    File URL: https://publication.aercafricalibrary.org/handle/123456789/3755
    Download Restriction: no
    ---><---

    More about this item

    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:aer:wpaper:dc7acd7e-1720-4fa1-bf7f-d4650d31e34e. 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: Daniel Njiru (email available below). General contact details of provider: https://edirc.repec.org/data/aerccke.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.