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Housing Supply Elasticity in Sydney Local Government Areas

Author

Listed:
  • Xiangling Liu

    () (School of Economics, Australian School of Business, the University of New South Wales)

  • Glenn Otto

    () (School of Economics, Australian School of Business, the University of New South Wales)

Abstract

We report supply elasticity estimates of residential property (houses and apartments) for Local Government Areas (LGAs) in metropolitan Sydney. Using annual data for 1991-2012, the average supply elasticity estimate across all LGAs is 0.2 for houses and 0.8 for apartments. The supply ofhouses is inelastic in all 43 LGAs; in contrast apartment supply is elastic – greater than unity – in about one-third of LGAs. We develop a model to explain the cross-section variation in supply elasticity across LGAs. For houses, supply elasticity is negatively related to an LGA’s population density, the time taken by a Local Council to process a development application and to various measures of the amount of land in an LGA that is unavailable for new housing development. Variation in supply elasticity for apartments across LGAs is unrelated to any of the available regressors.

Suggested Citation

  • Xiangling Liu & Glenn Otto, 2014. "Housing Supply Elasticity in Sydney Local Government Areas," Discussion Papers 2014-13, School of Economics, The University of New South Wales.
  • Handle: RePEc:swe:wpaper:2014-13
    as

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    File URL: http://research.economics.unsw.edu.au/RePEc/papers/2014-13.pdf
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    References listed on IDEAS

    as
    1. Emily Gitelman & Glenn Otto, 2012. "Supply Elasticity Estimates for the Sydney Housing Market," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 45(2), pages 176-190, June.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, Oxford University Press, vol. 125(3), pages 1253-1296.
    4. Ball, Michael & Meen, Geoffrey & Nygaard, Christian, 2010. "Housing supply price elasticities revisited: Evidence from international, national, local and company data," Journal of Housing Economics, Elsevier, vol. 19(4), pages 255-268, December.
    5. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    6. Mariano Kulish & Anthony Richards & Christian Gillitzer, 2012. "Urban Structure and Housing Prices: Some Evidence from Australian Cities," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 303-322, September.
    7. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Lozano Navarro, Francisco-Javier, 2015. "Elasticidad precio de la oferta inmobiliaria en el Gran Santiago
      [Housing supply elasticity in Greater Santiago]
      ," MPRA Paper 65012, University Library of Munich, Germany.

    More about this item

    Keywords

    housing supply; supply elasticity; development application; undevelopable land;

    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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