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Determining the impact of low-cost housing development on nearby property prices using discrete choice analysis

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  • Mario du Preez
  • Michael C. Sale

Abstract

This paper presents an application of the conditional logit model to a small, Nelson Mandela Bay neighbourhood housing data set, with the objective of determining the impact of proximity to a low-cost housing development on nearby property prices. The results of this pilot study show that the average household in the neighbourhood of Walmer is […]

Suggested Citation

  • Mario du Preez & Michael C. Sale, 2012. "Determining the impact of low-cost housing development on nearby property prices using discrete choice analysis," Working Papers 265, Economic Research Southern Africa.
    • Handle: RePEc:rza:wpaper:265
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    References listed on IDEAS

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    More about this item

    Keywords

    Commodity prices; Consumer Behavior; Public Housing; Quantitative Methods; South Africa;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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