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An Intra-City Analysis of House Price Convergence and Spatial Dependence

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  • Omar H. M. N. Bashar

    (Deakin University)

Abstract

This paper seeks to test the intra-city convergence of house prices using the comprehensive suburban house price and census data for a key Australian city. It applies the regression-based β-convergence test combined with spatial econometric models to examine the conditional convergence of house prices across 300+ suburbs in the Melbourne metropolitan area. This paper finds evidence of house price convergence when the econometric model controls for spatial effects and a few other suburban characteristics, such as population size, economic profile, education and employment profile, and crime rate. However, the convergence rate is found to be decelerated in the post-GFC periods. The estimation results suggest a faster convergence rate for units/apartments than for freestanding houses. There is also evidence of spatial effects, implying that house price growth in Melbourne suburbs is spilling over into the neighboring suburbs. These findings are expected to shed new light on understanding the residential real estate market and price dynamics within a city in the context of a developed nation and help design relevant housing policies.

Suggested Citation

  • Omar H. M. N. Bashar, 2021. "An Intra-City Analysis of House Price Convergence and Spatial Dependence," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 525-546, November.
    • Handle: RePEc:kap:jrefec:v:63:y:2021:i:4:d:10.1007_s11146-020-09799-w
    DOI: 10.1007/s11146-020-09799-w
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    Cited by:

    1. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.

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    More about this item

    Keywords

    House price; β-Convergence; Spatial analysis; Melbourne; Australia;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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