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Information Value of Property Description: A Machine Learning Approach

Author

Listed:
  • Lily Shen

    (Clemson University)

  • Stephen L. Ross

    (University of Connecticut)

Abstract
This paper employs machine learning to quantify the value of “soft” information con-tained in real estate property descriptions. Textual descriptions contain information that traditional hedonic attributes cannot capture. A one standard deviation increase in the uniqueness of a property based on this “soft” information leads to a 15% increase in property sale price in a hedonic price model and a 10% increase in a repeat sales price model. The effects in the hedonic model appear to arise through two channels: the unobserved quality of the housing unit, and the market power of the housing unit relative to competing properties. The effects in the repeat sales model appear to be driven entirely by the market power of the unit. Further, an annual hedonic price index ignoring our measure of unobserved quality overstates real estate prices by be-tween 10% to 23% and mistimes the stabilization of housing prices following the Great Recession. Similar, but smaller effects, are observed for the repeat sales price index.

Suggested Citation

  • Lily Shen & Stephen L. Ross, 2019. "Information Value of Property Description: A Machine Learning Approach," Working papers 2019-20, University of Connecticut, Department of Economics, revised Sep 2020.
    • Handle: RePEc:uct:uconnp:2019-20
    as

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    File URL: https://media.economics.uconn.edu/working/2019-20.pdf
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    References listed on IDEAS

    as
    1. David F. Larcker & Anastasia A. Zakolyukina, 2012. "Detecting Deceptive Discussions in Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 495-540, May.
    2. Steven D. Levitt & Chad Syverson, 2008. "Market Distortions When Agents Are Better Informed: The Value of Information in Real Estate Transactions," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 599-611, November.
    3. Lucija Muehlenbachs & Elisheba Spiller & Christopher Timmins, 2015. "The Housing Market Impacts of Shale Gas Development," American Economic Review, American Economic Association, vol. 105(12), pages 3633-3659, December.
    4. Gabriel M. Ahlfeldt & Nancy Holman, 2018. "Distinctively Different: A New Approach to Valuing Architectural Amenities," Economic Journal, Royal Economic Society, vol. 128(608), pages 1-33, February.
    5. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    6. Bennie D. Waller & Raymond T. Brastow, 2013. "Dual Agency Representation: Incentive Conflicts or Efficiencies," Journal of Real Estate Research, American Real Estate Society, vol. 35(2), pages 83-102.
    7. Lawani, Abdelaziz & Reed, Michael R. & Mark, Tyler & Zheng, Yuqing, 2019. "Reviews and price on online platforms: Evidence from sentiment analysis of Airbnb reviews in Boston," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 22-34.
    8. Rutherford, R.C. & Springer, T.M. & Yavas, A., 2005. "Conflicts between principals and agents: evidence from residential brokerage," Journal of Financial Economics, Elsevier, vol. 76(3), pages 627-665, June.
    9. Palmquist, Raymond B, 1984. "Estimating the Demand for the Characteristics of Housing," The Review of Economics and Statistics, MIT Press, vol. 66(3), pages 394-404, August.
    10. William Goetzmann & S. Ravid & Ronald Sverdlove, 2013. "The pricing of soft and hard information: economic lessons from screenplay sales," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 271-307, May.
    11. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    12. Lovo , Stefano & Spaenjers , Christophe, 2014. "Unique Durable Assets," HEC Research Papers Series 1037, HEC Paris.
    13. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    14. Robert J. Hill, 2013. "Hedonic Price Indexes For Residential Housing: A Survey, Evaluation And Taxonomy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 879-914, December.
    15. Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2019. "Machine learning, human experts, and the valuation of real assets," CFS Working Paper Series 635, Center for Financial Studies (CFS).
    16. José María Liberti & Mitchell A. Petersen, 2018. "Information: Hard and Soft," NBER Working Papers 25075, National Bureau of Economic Research, Inc.
    17. William Goetzmann & Liang Peng, 2006. "Estimating House Price Indexes in the Presence of Seller Reservation Prices," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 100-112, February.
    18. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    19. Stefano Lovo & Christophe Spaenjers, 2014. "A Model of Trading in Unique Durable Assets," Working Papers hal-01993374, HAL.
    20. Adam Nowak & Patrick Smith, 2017. "Textual Analysis in Real Estate," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 896-918, June.
    21. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    22. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    23. Donald Haurin, 1988. "The Duration of Marketing Time of Residential Housing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 16(4), pages 396-410, December.
    24. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    25. Lu Han & Seung-Hyun Hong, 2016. "Understanding in-house transactions in the real estate brokerage industry," RAND Journal of Economics, RAND Corporation, vol. 47(4), pages 1057-1086, November.
    26. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    27. Mark J. Garmaise, 2004. "Confronting Information Asymmetries: Evidence from Real Estate Markets," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 405-437.
    28. Gabriel M. Ahlfeldt & Nancy Holman, 2018. "Distinctively Different: A New Approach to Valuing Architectural Amenities," Economic Journal, Royal Economic Society, vol. 128(608), pages 1-33.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Stephen L. Ross & Tingyu Zhou, 2020. "Documenting Loss Aversion using Evidence of Round Number Bias," Working papers 2020-17, University of Connecticut, Department of Economics.
    2. Lily Shen & Sean Wilkoff, 2022. "Cleanliness is next to income: The impact of COVID‐19 on short‐term rentals," Journal of Regional Science, Wiley Blackwell, vol. 62(3), pages 799-829, June.
    3. Wan, Wayne Xinwei & Lindenthal, Thies, 2022. "Towards accountability in machine learning applications: A system-testing approach," ZEW Discussion Papers 22-001, ZEW - Leibniz Centre for European Economic Research.

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    More about this item

    Keywords

    Natural Language Processing; Unsupervised Machine Learning; Soft Information; Housing Prices; Price indexes; Property Descriptions;
    All these keywords.

    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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