IDEAS home Printed from https://ideas.repec.org/p/unu/wpaper/wp-2024-38.html
   My bibliography  Save this paper

Inequality and institutional outcomes in Viet Nam: A combined principal components and clustering analysis

Author

Listed:
  • Thu K. Hoang
  • Klarizze Anne Martin Puzon
  • Hoai Thi Thu Dang
  • Rachel M. Gisselquist

Abstract

Better understanding of inequality, including its relationship to governance and other key outcomes, is relevant both to academic researchers and to policy-makers. Nevertheless, efforts to establish causal relationships empirically remain hampered by the quality and availability of data, especially for Global South countries at the sub-national level. This paper draws on newly available data on income inequality in Viet Nam at the provincial level to show how unsupervised learning techniques might be used as tools in consideration of the relationship between inequality and governance.

Suggested Citation

  • Thu K. Hoang & Klarizze Anne Martin Puzon & Hoai Thi Thu Dang & Rachel M. Gisselquist, 2024. "Inequality and institutional outcomes in Viet Nam: A combined principal components and clustering analysis," WIDER Working Paper Series wp-2024-38, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp-2024-38
    as

    Download full text from publisher

    File URL: https://www.wider.unu.edu/sites/default/files/Publications/Working-paper/PDF/wp2024-38-inequality-institutional-outcomes-Viet-Nam.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xinyu Zhang & Howell Tong, 2022. "Asymptotic theory of principal component analysis for time series data with cautionary comments," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(2), pages 543-565, April.
    2. Bandyopadhyay, Sanghamitra, 2018. "The absolute Gini is a more reliable measure of inequality for time dependent analyses (compared with the relative Gini)," Economics Letters, Elsevier, vol. 162(C), pages 135-139.
    3. Zhang, Xinyu & Tong, Howell, 2022. "Asymptotic theory of principal component analysis for time series data with cautionary comments," LSE Research Online Documents on Economics 113566, London School of Economics and Political Science, LSE Library.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abebe Hailemariam & Sefa Awaworyi Churchill & Russell Smyth & Kingsley Tetteh Baako, 2021. "Income inequality and housing prices in the very long‐run," Southern Economic Journal, John Wiley & Sons, vol. 88(1), pages 295-321, July.

    More about this item

    Keywords

    Inequality; Institutional quality; Principal component analysis;
    All these keywords.

    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:unu:wpaper:wp-2024-38. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Siméon Rapin (email available below). General contact details of provider: https://edirc.repec.org/data/widerfi.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.