IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/65469.html
   My bibliography  Save this paper

Household Demand for Housing in Kenya

Author

Listed:
  • Muthoka, Sila

Abstract

Previous studies have established that demand pattern for housing identifies with that of a necessary good. The nature of housing goods consumed is highly heterogeneous in dimensions like ownership, size, location and tenure type. In this study I model the probability of household tenure types in Kenya using Household Budget Survey data. Using a Multinomial Logit Model (MNLM) formulation three tenure, household size and age of the household head emerge as significant predictors of household housing choices. Based on the results, the government and firms can rely on household size and age of the household head to approximate demand for housing services in the various tenure types. Furthermore, the ability to interpolate these variables based on occasional population surveys makes it easier to design mechanisms of matching demand and supply for housing services.

Suggested Citation

  • Muthoka, Sila, 2015. "Household Demand for Housing in Kenya," MPRA Paper 65469, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:65469
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/65469/1/MPRA_paper_65469.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Philippe Bracke, 2013. "House Prices and Rents: Micro Evidence from a Matched Dataset in Central London_x0003_," ERSA conference papers ersa13p112, European Regional Science Association.
    2. Eichholtz, Piet & Lindenthal, Thies, 2014. "Demographics, human capital, and the demand for housing," Journal of Housing Economics, Elsevier, vol. 26(C), pages 19-32.
    3. Philippe Bracke, 2015. "House Prices and Rents: Microevidence from a Matched Data Set in Central London," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 403-431, June.
    4. Ermisch, J. F. & Findlay, J. & Gibb, K., 1996. "The Price Elasticity of Housing Demand in Britain: Issues of Sample Selection," Journal of Housing Economics, Elsevier, vol. 5(1), pages 64-86, March.
    5. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    6. Henderson, J Vernon & Ioannides, Yannis M, 1983. "A Model of Housing Tenure Choice," American Economic Review, American Economic Association, vol. 73(1), pages 98-113, March.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    housing; demand for housing; tenure; multinomial logit; hedonic regression;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    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:pra:mprapa:65469. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.