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Does an Oligopolistic Primary Market Matter? The Case of an Asian Housing Market

Author

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  • Tang, Edward Chi Ho
  • Leung, Charles Ka Yui
  • Ng, Joe Cho Yiu

Abstract

This paper takes advantage of the oligopolistic structure of the Hong Kong primary housing market and examines whether the time-variations of the market concentration are caused by or cause the variations of the local economic factors. The analysis also takes into consideration of the changes of the U.S. variables and commodity prices, which arguably may represent changes in the construction cost. We find clear evidence of time-varying responses of housing market variables to macroeconomic variables. Policy implications and directions for future research are also discussed.

Suggested Citation

  • Tang, Edward Chi Ho & Leung, Charles Ka Yui & Ng, Joe Cho Yiu, 2018. "Does an Oligopolistic Primary Market Matter? The Case of an Asian Housing Market," MPRA Paper 93680, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:93680
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    File URL: https://mpra.ub.uni-muenchen.de/93680/1/MPRA_paper_93680.pdf
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    References listed on IDEAS

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    1. C. Tsuriel Somerville, 1999. "The Industrial Organization of Housing Supply: Market Activity, Land Supply and the Size of Homebuilder Firms," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(4), pages 669-694, December.
    2. Djolov, George, 2013. "The Herfindahl-Hirschman Index as a decision guide to business concentration: A statistical exploration," Journal of Economic and Social Measurement, IOS Press, issue 3, pages 201-227.
    3. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    4. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    5. Hanushek, Eric & Yilmaz, Kuzey, 2007. "The complementarity of Tiebout and Alonso," Journal of Housing Economics, Elsevier, vol. 16(2), pages 243-261, June.
    6. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, December.
    7. Jeremy C. Stein, 1995. "Prices and Trading Volume in the Housing Market: A Model with Down-Payment Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 379-406.
    8. Matthew Spiegel, 2001. "Housing Return and Construction Cycles," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(4), pages 521-551, April.
    9. Matthew Spiegel, 1999. "Housing Return And Construction Cycles," Yale School of Management Working Papers ysm114, Yale School of Management, revised 01 Mar 2001.
    10. Jiawei Chen & Susanna Esteban & Matthew Shum, 2013. "When Do Secondary Markets Harm Firms?," American Economic Review, American Economic Association, vol. 103(7), pages 2911-2934, December.
    11. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    12. Kunhui Ye & Weisheng Lu & Weiyan Jiang, 2009. "Concentration in the international construction market," Construction Management and Economics, Taylor & Francis Journals, vol. 27(12), pages 1197-1207.
    13. Ching, Stephen & Fu, Yuming, 2003. "Contestability of the urban land market: an event study of Hong Kong land auctions," Regional Science and Urban Economics, Elsevier, vol. 33(6), pages 695-720, October.
    14. Glaeser, Edward L & Gyourko, Joseph & Saks, Raven, 2005. "Why Is Manhattan So Expensive? Regulation and the Rise in Housing Prices," Journal of Law and Economics, University of Chicago Press, vol. 48(2), pages 331-369, October.
    15. Joseph Gyourko & Edward L. Glaeser, 2008. "Rethinking Federal Housing Policy," Books, American Enterprise Institute, number 50499, September.
    16. Jason Beck & Frank Scott & Aaron Yelowitz, 2012. "Concentration and Market Structure in Local Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 40(3), pages 422-460, September.
    17. Coase, Ronald H, 1972. "Durability and Monopoly," Journal of Law and Economics, University of Chicago Press, vol. 15(1), pages 143-149, April.
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    More about this item

    Keywords

    Oligopoly; market share; Herfindahl index; macroeconomic variables; dynamic factor model; Time-Varying Bayesian Factor Augmented VAR;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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