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The income elasticity of housing demand in New South Wales, Australia

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  • Liu, Xiangling

Abstract

This paper studies the theoretical relationship between house prices and income by using the user cost equilibrium condition. Empirically, the long-run and short-run dynamics of this relationship are investigated by using data for 144 Local government areas (LGA) over 25 years from 1991 to 2015 in the state of New South Wales, Australia. The income elasticity of house prices for the state is estimated to be 1.07 by multi-factor panel data models and the cointegration analysis. The income elasticities across locations demonstrate a spatial pattern, higher in Sydney and the Sydney surrounds and diminishing as going to inland regional and rural areas. The Granger Causality of the co-integrated relationship has been studied sequentially and proves the unidirectional causality from income to house prices. Finally, the state-wide common factors are found to show widespread significance in contrast to the Sydney-wide common factors which only impact significantly the areas that surround Sydney within some particular spatial range.

Suggested Citation

  • Liu, Xiangling, 2019. "The income elasticity of housing demand in New South Wales, Australia," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 70-84.
    • Handle: RePEc:eee:regeco:v:75:y:2019:i:c:p:70-84
    DOI: 10.1016/j.regsciurbeco.2019.01.007
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    Cited by:

    1. Arif Igdeli, 2020. "A Spatial Econometric Analysis on the Determinants of Regional Housing Demand," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 4(2), pages 145-165, December.
    2. Brzezicka Justyna & Kobylińska Katarzyna, 2021. "An Analysis of the Income and Price Elasticity of Demand for Housing in View of Price Dynamics on the Residential Property Market," Real Estate Management and Valuation, Sciendo, vol. 29(4), pages 97-110, December.

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    More about this item

    Keywords

    Income elasticity; Cross-section dependence; House price dynamics; Cointegration;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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