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A Propensity Score Matching and Spatial Hedonic Prices Approach for Estimating Property Value Fluctuations in Bogotá

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  • Jorge Andrés Perdomo

Abstract

The aim of this study is to analyze and compare the results from Propensity Score Matching (PSM) and Spatial Hedonic Prices (SHP) methodologies estimating value fluctuations on residential proprieties in Bogotá (Colombia). Specifically, this study examines value fluctuations on residential properties nearby stations of the Bus Rapid Transit (BRT) system—Transmilenio—. The PSM and SHP approaches suggest additional value increases for residential properties close to BRT stations.

Suggested Citation

  • Jorge Andrés Perdomo, 2010. "A Propensity Score Matching and Spatial Hedonic Prices Approach for Estimating Property Value Fluctuations in Bogotá," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 73, pages 49-65.
    • Handle: RePEc:lde:journl:y:2010:i:73:p:49-65
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    File URL: https://revistas.udea.edu.co/index.php/lecturasdeeconomia/issue/view/810
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    More about this item

    Keywords

    Impact evaluation; Propensity Score Matching; Spatial Hedonic Prices; property value fluctuations; TransMilenio;
    All these keywords.

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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