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Homebuyer Purchase Decisions: Are They Anchoring to Appraisal Values or Market Prices?

Author

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  • Ka-Shing Cheung

    (Department of Property, The University of Auckland, 12 Grafton Road, Auckland 1010, New Zealand)

  • Chung-Yim Yiu

    (Department of Property, The University of Auckland, 12 Grafton Road, Auckland 1010, New Zealand)

  • Yihan Guan

    (Department of Property, The University of Auckland, 12 Grafton Road, Auckland 1010, New Zealand)

Abstract

Price discovery is an important research topic in real estate due to the heterogeneous nature of housing attributes and relatively thin trading activities compared to other assets. In Commonwealth countries, including New Zealand, governments usually conduct periodic appraisals for the purpose of collecting rates and levies. Such official appraisal values of properties, also known as capital values ( CVs ), are considered a price anchor for market participants in their negotiation processes. Real estate agents often use these appraisal values to advertise their listings and negotiate transaction prices. In this study, we aim to make an initial attempt to study the influence of CV on market prices using Granger causality tests and a hedonic pricing model. To test the lead-lag relationships, three million housing transactions from 1990 to 2020 in New Zealand are used to construct the capital values ( CVs ) and transacted prices ( TPs ) indices in both primary and secondary housing markets. The Granger causality test suggests that the indices of TPs and CVs have a bi-directional lead-lag relationship in the secondary housing market, whereas the relationship does not follow in the primary market where the information on CVs is unavailable. The results imply the existence of a CV anchoring effect. Such anchoring effects are also contingent on the timeliness of price anchors, which is consistent with the availability heuristic from behavioural economics.

Suggested Citation

  • Ka-Shing Cheung & Chung-Yim Yiu & Yihan Guan, 2022. "Homebuyer Purchase Decisions: Are They Anchoring to Appraisal Values or Market Prices?," JRFM, MDPI, vol. 15(4), pages 1-13, March.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:4:p:159-:d:784698
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    References listed on IDEAS

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    1. Ka Shing Cheung & Julian TszKin Chan & Sijie Li & Chung Yim Yiu, 2021. "Anchoring and Asymmetric Information in the Real Estate Market: A Machine Learning Approach," JRFM, MDPI, vol. 14(9), pages 1-22, September.
    2. Michael Seiler & Mark Lane & David Harrison, 2014. "Mimetic Herding Behavior and the Decision to Strategically Default," The Journal of Real Estate Finance and Economics, Springer, vol. 49(4), pages 621-653, November.
    3. Chang, Eric C. & Luo, Yan & Ren, Jinjuan, 2013. "Cross-listing and pricing efficiency: The informational and anchoring role played by the reference price," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4449-4464.
    4. Timothy M. Havard, 2001. "An experimental evaluation of the effect of data presentation on heuristic bias in commercial valuation," Journal of Property Research, Taylor & Francis Journals, vol. 18(1), pages 51-67.
    5. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    6. Sergio Da Silva & Raul Matsushita & Mariana Pereira & Mariê Fontana, 2019. "Real estate list price anchoring and cognitive ability," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(4), pages 581-603, June.
    7. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    8. Gao, Shenghao & Cao, Feng & Fok, Robert (Chi-Wing), 2019. "The anchoring effect of underwriters' proposed price ranges on institutional investors' bid prices in IPO auctions: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 63(C), pages 111-127.
    9. Folkes, Valerie S, 1988. "The Availability Heuristic and Perceived Risk," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(1), pages 13-23, June.
    10. Roger G. Ibbotson & Laurence B. Siegel, 1984. "Real Estate Returns: A Comparison with Other Investments," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 12(3), pages 219-242, September.
    11. Chandrashekaran, Rajesh & Grewal, Dhruv, 2006. "Anchoring effects of advertised reference price and sale price: The moderating role of saving presentation format," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1063-1071, October.
    12. Peyman Khezr & Shabbir Ahmad, 2018. "Anchoring in the Housing Market: Evidence from Sydney," Discussion Papers Series 596, School of Economics, University of Queensland, Australia.
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    Cited by:

    1. Akshita Singh & Shailendra Kumar & Utkarsh Goel & Amar Johri, 2023. "Behavioural biases in real estate investment: a literature review and future research agenda," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    2. Ka Shing Cheung & Paavo Monkkonen & Chung Yim Yiu, 2024. "The heterogeneous impacts of widespread upzoning: Lessons from Auckland, New Zealand," Urban Studies, Urban Studies Journal Limited, vol. 61(5), pages 943-967, April.

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