IDEAS home Printed from https://ideas.repec.org/p/rza/wpaper/856.html
   My bibliography  Save this paper

Understanding the behaviour of house prices and household income per capita in South Africa: Application of the asymmetric autoregressive distributed lag model

Author

Listed:
  • Anthanasius F. Tita
  • Pieter Opperman

Abstract

Homeownership by the lower and middle-income households is crucial to create wealth, particularly for South Africa with high levels of economic and wealth inequality. However, scholarship has paid little attention to how income affects the affordable housing market segment despite its systemic importance to the South African economy. This study employs the asymmetric autoregressive distributed […]

Suggested Citation

  • Anthanasius F. Tita & Pieter Opperman, 2021. "Understanding the behaviour of house prices and household income per capita in South Africa: Application of the asymmetric autoregressive distributed lag model," Working Papers 856, Economic Research Southern Africa.
  • Handle: RePEc:rza:wpaper:856
    as

    Download full text from publisher

    File URL: https://econrsa.org/wp-content/uploads/2022/06/working_paper_856.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Liao, Jixiang & Liu, Xingye & Zhou, Xueyan & Tursunova, Nargiza Rakhimovna, 2023. "Analyzing the role of renewable energy transition and industrialization on ecological sustainability: Can green innovation matter in OECD countries," Renewable Energy, Elsevier, vol. 204(C), pages 141-151.

    More about this item

    Keywords

    Commodity prices; Development Economics; financial development; Social welfare;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:rza:wpaper:856. 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: Maggi Sigg (email available below). General contact details of provider: https://edirc.repec.org/data/ersacza.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.