IDEAS home Printed from https://ideas.repec.org/p/pid/wpaper/200741.html
   My bibliography  Save this paper

Household Budget Analysis for Pakistan under Varying the Parameter Approach

Author

Listed:
  • Eatzaz Ahmad

    (Quaid-i-Azam University, Islamabad.)

  • Muhammad Arshad

    (International School of Industrial Business Management, Shanghai University, China)

Abstract

Using micro-level household data for rural and urban Pakistan, this study estimates Engel equations for 22 commodity groups with quadratic spline specification, in which the number and locations of knots are determined through a search procedure. The study finds that the resulting flexibility produces many interesting patterns of changes in the classification of goods into necessities and luxuries across income ranges. This suggests that a uniform tax structure will have varying implications for budget allocation and welfare of households belonging to different income classes. This information can be gainfully utilised in preparing income transfer policies that could supplement uniform tax regimes.

Suggested Citation

  • Eatzaz Ahmad & Muhammad Arshad, 2007. "Household Budget Analysis for Pakistan under Varying the Parameter Approach," PIDE-Working Papers 2007:41, Pakistan Institute of Development Economics.
    • Handle: RePEc:pid:wpaper:2007:41
    as

    Download full text from publisher

    File URL: https://www.pide.org.pk/pdf/Working%20Paper/WorkingPaper-41.pdf
    File Function: First Version, 2007
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. AHMED, Eatzat & JALIL, Abdul & IDREES, Muhammad, 2013. "Almost Ideal Demand System And Uniform Taxation In Pakistan: Econometric Evidences For Consumer Goods In Pakistan, 1984-2008," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 207-216.
    2. Khurram SHAHZAD* & Muhammad Nadeem SARWAR**, 2018. "Analysis of Food Demand Patterns of Sindh Province, Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 28(1), pages 147-168.
    3. Haider, Adnan & Zaidi, Masroor, 2017. "Food Consumption Patterns and Nutrition Disparity in Pakistan," MPRA Paper 83522, University Library of Munich, Germany.

    More about this item

    Keywords

    Consumer Economics; Empirical Analysis;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pid:wpaper:2007:41. 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: Khurram Iqbal (email available below). General contact details of provider: https://edirc.repec.org/data/pideipk.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.