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Clustering in Real Estate Prices: Determinants and Consequences

Author

Listed:
  • Oded Palmon

    (Rutgers University)

  • Barton A. Smith
  • Ben J. Sopranzetti

Abstract

We examine the determinants and consequences of price clustering. Real estate list and transaction prices exhibit two price-ending characteristics: even (000-ending) and just-below-even (900-ending). The use of even-ending prices is negatively related to the precision of the price estimates and the cost of rounding. However, the tendency to use just-below-even-ending prices is related to the cost of rounding and to listing agency characteristics. The transaction price and the number of days on market are associated with list price clustering and with listing agency characteristics. Most properties are listed at just-below-even-ending prices, but those listed at even-ending prices sell faster and at a higher price. Finally, better transaction outcomes are positively associated with the number of area-properties listed by the seller?s real-estate agency.

Suggested Citation

  • Oded Palmon & Barton A. Smith & Ben J. Sopranzetti, 2004. "Clustering in Real Estate Prices: Determinants and Consequences," Journal of Real Estate Research, American Real Estate Society, vol. 26(2), pages 115-136.
    • Handle: RePEc:jre:issued:v:26:n:2:2004:p:115-136
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    Citations

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    Cited by:

    1. Eli Beracha & Michael J. Seiler, 2015. "The Effect of Pricing Strategy on Home Selection and Transaction Prices: An Investigation of the Left-Most Digit Effect," Framed Field Experiments 00630, The Field Experiments Website.
    2. Cardella, Eric & Seiler, Michael J., 2016. "The effect of listing price strategy on real estate negotiations: An experimental study," Journal of Economic Psychology, Elsevier, vol. 52(C), pages 71-90.
    3. Aerts, Walter & Campenhout, Geert Van & Caneghem, Tom Van, 2008. "Clustering in dividends: Do managers rely on cognitive reference points?," Journal of Economic Psychology, Elsevier, vol. 29(3), pages 276-284, June.
    4. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    5. Marcus T. Allen & Justin D. Benefield & Ronald C. Rutherford, 2023. "Co-Listing Strategies: Better Transaction Outcomes?," The Journal of Real Estate Finance and Economics, Springer, vol. 67(3), pages 517-544, October.
    6. Hackl, Franz & Kummer, Michael E. & Winter-Ebmer, Rudolf, 2014. "99 Cent: Price points in e-commerce," Information Economics and Policy, Elsevier, vol. 26(C), pages 12-27.
    7. Eli Beracha & Michael Seiler, 2014. "The Effect of Listing Price Strategy on Transaction Selling Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 49(2), pages 237-255, August.
    8. Sean Salter & Ken Johnson & Ernest King, 2010. "Listing Specialization and Pricing Precision," The Journal of Real Estate Finance and Economics, Springer, vol. 40(3), pages 245-259, April.
    9. Luca Repetto & Alex Solís, 2020. "The Price of Inattention: Evidence from the Swedish Housing Market," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 3261-3304.
    10. Oded Palmon & Ben J. Sopranzetti, 2017. "On the relationship between the number of a broker’s real estate listings and transaction outcomes," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 65-89, July.
    11. Jason Beck & Lindsay Levine & Michael Toma, 2024. "Just‐below pricing in real estate: Impact by price segment and market conditions," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(1), pages 17-34, January.
    12. Kirsten Rüchardt & Bodo Vogt, 2009. "Comparison of the Stock Price Clustering of stocks which are traded in the US and Germany—Is XETRA more efficient than the NYSE?," FEMM Working Papers 09016, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    13. Ashton, John K. & Hudson, Robert S., 2008. "Interest rate clustering in UK financial services markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1393-1403, July.
    14. Bharati, Rakesh & Crain, Susan J. & Kaminski, Vincent, 2012. "Clustering in crude oil prices and the target pricing zone hypothesis," Energy Economics, Elsevier, vol. 34(4), pages 1115-1123.
    15. David Harrison & Michael Seiler, 2015. "The Paradox of Judicial Foreclosure: Collateral Value Uncertainty and Mortgage Rates," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 377-411, April.
    16. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency," Applied Economics, Taylor & Francis Journals, vol. 50(36), pages 3949-3965, August.
    17. Brown, Philip & Mitchell, Jason, 2008. "Culture and stock price clustering: Evidence from The Peoples' Republic of China," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 95-120, January.
    18. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A High-Frequency Analysis of Price Resolution and Pricing Barriers in Equities on the Adoption of a New Currency," Post-Print hal-01994666, HAL.
    19. Kwong Wing Chau & Danika Wright & Ervi Liusman, 2018. "The cost of a lucky price," ERES eres2018_240, European Real Estate Society (ERES).
    20. Jeon, Jin Q. & Lee, Cheolwoo, 2015. "A new measure for heated negotiation in the IPO syndicate," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 278-304.
    21. Lucey, Michael E. & O'Connor, Fergal A., 2016. "Mind the gap: Psychological barriers in gold and silver prices," Finance Research Letters, Elsevier, vol. 17(C), pages 135-140.
    22. Ahn, Hee-Joon & Cai, Jun & Cheung, Yan Leung, 2005. "Price clustering on the limit-order book: Evidence from the Stock Exchange of Hong Kong," Journal of Financial Markets, Elsevier, vol. 8(4), pages 421-451, November.
    23. Utpal Bhattacharya & Wei-Yu Kuo & Tse-Chun Lin & Jing Zhao, 2019. "Do Superstitious Traders Lose Money?," HKUST IEMS Working Paper Series 2019-62, HKUST Institute for Emerging Market Studies, revised May 2019.
    24. Utpal Bhattacharya & Wei-Yu Kuo & Tse-Chun Lin & Jing Zhao, 2018. "Do Superstitious Traders Lose Money?," Management Science, INFORMS, vol. 64(8), pages 3772-3791, August.
    25. Mitchell, Jason & Izan, H.Y., 2006. "Clustering and psychological barriers in exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(4), pages 318-344, October.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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