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Estimating the housing capitalization effects of new infrastructure: Should we be using rents instead of prices?

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  • Melser, Daniel

Abstract

A widely used approach to valuing transport infrastructure is to look at its effects on housing prices, in treated vs control regions, before and after it is built. But anticipation effects mean that housing prices may start changing as soon as a project is announced. This creates complications for an analysis of the capitalization effects on prices. A long span of data is potentially required—because the time from a project’s announcement to completion may be many years—and the assumption of common price trends between the treated and control regions must be maintained over this time span. An alternative approach is to use rents. This may be advantageous as rents are more directly related to the infrastructure’s service-flow. Though account needs to be taken of the fact that those homes which are rented are often not representative of the housing stock as a whole. We investigate these issues for a new train line in Sydney and contrast the results from using both prices and rents.

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  • Melser, Daniel, 2020. "Estimating the housing capitalization effects of new infrastructure: Should we be using rents instead of prices?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 402-421.
    • Handle: RePEc:eee:transa:v:138:y:2020:i:c:p:402-421
    DOI: 10.1016/j.tra.2020.04.016
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    Cited by:

    1. Chinmoy Ghosh & Venkatesh Panchapagesan & Madalasa Venkataraman, 2024. "On the Impact of Infrastructure Improvement on Real Estate Property Values: Evidence from a Quasi-natural Experiment in an Emerging Market," The Journal of Real Estate Finance and Economics, Springer, vol. 68(1), pages 103-137, January.
    2. Dongsheng He & Guibo Sun & Ling Li & Chris Webster, 2024. "New metro and housing price and rent premiums: A natural experiment in China," Urban Studies, Urban Studies Journal Limited, vol. 61(7), pages 1371-1392, May.
    3. Fragoso Januário, João & Costa, Álvaro & Oliveira Cruz, Carlos & Miranda Sarmento, Joaquim & Faria e Sousa, Vítor, 2021. "Transport infrastructure, accessibility, and spillover effects: An empirical analysis of the Portuguese real estate market from 2000 to 2018," Research in Transportation Economics, Elsevier, vol. 90(C).
    4. Federica Daniele & Elena Romito, 2022. "The impact of "Metro C" in Rome on the housing market," Temi di discussione (Economic working papers) 1394, Bank of Italy, Economic Research and International Relations Area.
    5. Daniel Melser, 2023. "The housing market reaction to the combustible cladding crisis: Safety or financial concerns?," Urban Studies, Urban Studies Journal Limited, vol. 60(4), pages 620-637, March.

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    More about this item

    Keywords

    Transport economics; Value of infrastructure; Difference-in-differences; Housing economics; Repeat sales model;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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