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Search Costs, Behavioral Biases, and Information Intermediary Effects

Author

Listed:
  • David C. Ling

    (University of Florida)

  • Andy Naranjo

    (University of Florida)

  • Milena T. Petrova

    (Syracuse University)

Abstract

In many markets, buyers, sellers, and their agents have differential information about the quality of heterogeneous assets. We study negotiated transaction prices in the commercial real estate market, which is characterized by heterogeneous assets, illiquidity, and highly segmented local markets, all of which increase the importance of asymmetric information in negotiated pricing outcomes. Using 114,588 industrial, multi-family and office sale transactions that occurred during 1997–2011, we document that distant commercial real estate buyers pay, on average, premiums of 4 % to 15 % relative to local buyers, controlling for individual property characteristics as well as time fixed-effects. We also examine the extent to which the sources of these observed premiums are a product of higher search costs/information asymmetry problems associated with distance (search cost channel) or a result of reference-dependence preference/anchoring based on the price levels in the investors’ local market (behavioral biases channel). Our results suggest the observed price premiums are explained by distant investors who face higher search costs and are at an information disadvantage compared to investors located in closer proximity to the property. In contrast, anchoring plays a more muted role in explaining observed premiums. The use of an intermediary (broker) increases, on average, the acquisition prices of buyers and decreases the disposition prices of sellers by 3 % to 8 %. This result is consistent with the incentive real estate agents have to convince sellers to dispose of their properties too quickly and to convince buyers to search less and therefore pay higher prices.

Suggested Citation

  • David C. Ling & Andy Naranjo & Milena T. Petrova, 2018. "Search Costs, Behavioral Biases, and Information Intermediary Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 57(1), pages 114-151, July.
  • Handle: RePEc:kap:jrefec:v:57:y:2018:i:1:d:10.1007_s11146-016-9582-z
    DOI: 10.1007/s11146-016-9582-z
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    7. Steven B. Caudill & Franklin G. Mixon, 2020. "Estimating Bargaining Power in Real Estate Pricing Models: Conceptual and Empirical Issues," JRFM, MDPI, vol. 13(5), pages 1-8, May.
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    12. 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.
    13. Ralph Siebert & Michael J. Seiler, 2020. "Why Do Buyers Pay Different Prices for Comparable Products? Evidence from the Housing Market," CESifo Working Paper Series 8337, CESifo.
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    15. David C. Ling & Andy Naranjo & Benjamin Scheick, 2021. "There is no place like home: Information asymmetries, local asset concentration, and portfolio returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(1), pages 36-74, March.
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