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House Values and Proximity to a Landfill: A Quantile Regression Framework

Mario du Preez (), Mehmet Balcilar, Aarifah Razak (), Steven Koch and Rangan Gupta
Additional contact information
Mario du Preez: Department of Economics, Nelson Mandela Metropolitan University, Port Elizabeth, 6001, South Africa.
Aarifah Razak: Department of Economics, University of Pretoria

No 201442, Working Papers from University of Pretoria, Department of Economics

Abstract: This paper explores the quantile treatment effects of proximity to a landfill site on housing values in the Nelson Mandela Bay Metropole (NMBM), South Africa, extending the research by Du Preez and Lottering (2009) who found a negative relationship to exist between proximity to a landfill site and mean housing values. Quantile regression analysis is used to account for the different implicit price functions that ‘wealthier’ and ‘poorer’ representative agents face. The results corroborate the findings of Du Preez and Lottering (2009) and further identify the negative relationship to be most pronounced at the lowest and highest quantiles of the house values distribution. Specifically, house values increase by an average of ZAR19 or US$1.81 (0.2 percent) for every 100 meters further away from the landfill site. At the lowest quantile (5 percent) house values increase by only 0.11 percent with every 100 meters of distance from the landfill site while at the highest quantile (95 percent), house values increase by 0,21 percent. This clearly demonstrates that ‘wealthier’ representative agents stand to gain more by being situated further away from landfill sites than ‘poorer’ representative agents. The suitability of the quantile treatment approach is confirmed by way of the Koenker and Xiao (2002) Location- Scale-Shift test statistics.

JEL-codes: Q57 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2014-08
New Economics Papers: this item is included in nep-ure
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