IDEAS home Printed from https://ideas.repec.org/p/pui/dpaper/227.html
   My bibliography  Save this paper

Analysis of Changes in Thailand’s Income Distribution from 2013 to 2021 Using Growth Incidence and Delta Lorenz Curves

Author

Listed:
  • Theepakorn Jithitikulchai
  • Sittisak Leelahanon

Abstract

The objective of this study is to analyze changes in the income distribution of Thailand between 2013 and 2019 and between 2019 and 2021. Using the growth incidence curve analysis and the delta Lorenz curve analysis developed by Ferreira et al. (2019), not only can we analyze changes in income distribution through its summary statistics, but we can also analyze the income level growth and income share of Thai households in every quantile of the distribution. We found that changes in Thailand’s inequality were different in these two time periods. There were heterogeneous income growths that reduced Thailand’s income inequality during 2013–2019. The improvement mainly comes from the structure effect, not the composition effect. On the other hand, the income growth incidences of middle- and upper-middle-income households worsened in 2019–2021. This caused a slight increase in income inequality, and it contributed to the structure effect as well. The impact of the government’s assistance programs is evaluated in both periods. The study found that these programs benefit lower quantile households more than upper quantile households, and hence they reduce income inequality effectively.

Suggested Citation

  • Theepakorn Jithitikulchai & Sittisak Leelahanon, 2025. "Analysis of Changes in Thailand’s Income Distribution from 2013 to 2021 Using Growth Incidence and Delta Lorenz Curves," PIER Discussion Papers 227, Puey Ungphakorn Institute for Economic Research.
    • Handle: RePEc:pui:dpaper:227
    as

    Download full text from publisher

    File URL: https://www.pier.or.th/files/dp/pier_dp_227.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Growth Incidence Curve; Delta Lorenz Curve; Inequality;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:pui:dpaper:227. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/pierbth.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.