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What Do Online Listings Tell Us about the Housing Market?

Author

Listed:
  • Michele Loberto

    (Banca d'Italia)

  • Andrea Luciani

    (Banca d'Italia)

  • Marco Pangallo

    (Sant'Anna School of Advanced Studies)

Abstract

Since the Great Recession, central banks and macroprudential authorities have been devoting much more attention to the housing market. To properly assess trends and risks, policymakers need detailed, timely, and granular information on demand, supply, and transactions. This information is hardly provided by traditional survey or administrative data. In this paper, we argue that data coming from housing sales advertisements (ads) websites can be used to overcome some existing deficiencies. Using a large data set of ads in Italy, we provide the first comprehensive analysis of the problems and potential of these data. We show how machine learning tools can correct a specific bias of online listings, namely the proliferation of duplicate ads that refer to the same housing unit, increasing the representativeness and reliability of these data. We then show how the timeliness, granularity, and online nature of these data make it possible to monitor in real-time housing demand, supply, and prices.

Suggested Citation

  • Michele Loberto & Andrea Luciani & Marco Pangallo, 2022. "What Do Online Listings Tell Us about the Housing Market?," International Journal of Central Banking, International Journal of Central Banking, vol. 18(4), pages 1-52, October.
    • Handle: RePEc:ijc:ijcjou:y:2022:q:4:a:8
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    References listed on IDEAS

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    1. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    2. Elliot Anenberg & Edward Kung, 2014. "Estimates of the Size and Source of Price Declines Due to Nearby Foreclosures," American Economic Review, American Economic Association, vol. 104(8), pages 2527-2551, August.
    3. Simone Emiliozzi & Elisa Guglielminetti & Michele Loberto, 2018. "Forecasting house prices in Italy," Questioni di Economia e Finanza (Occasional Papers) 463, Bank of Italy, Economic Research and International Relations Area.
    4. Carrillo, Paul E. & Williams, Benjamin, 2019. "The repeat time-on-the-market index," Journal of Urban Economics, Elsevier, vol. 112(C), pages 33-49.
    5. Allen Head & Huw Lloyd-Ellis & Hongfei Sun, 2014. "Search, Liquidity, and the Dynamics of House Prices and Construction," American Economic Review, American Economic Association, vol. 104(4), pages 1172-1210, April.
    6. Dorinth W. van Dijk & Marc K. Francke, 2018. "Internet Search Behavior, Liquidity and Prices in the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 46(2), pages 368-403, June.
    7. Michele Loberto & Andrea Luciani & Marco Pangallo, 2018. "The potential of big housing data: an application to the Italian real-estate market," Temi di discussione (Economic working papers) 1171, Bank of Italy, Economic Research and International Relations Area.
    8. Merlo, Antonio & Ortalo-Magne, Francois, 2004. "Bargaining over residential real estate: evidence from England," Journal of Urban Economics, Elsevier, vol. 56(2), pages 192-216, September.
    9. Michele Loberto & Francesco Zollino, 2016. "Housing and credit markets in Italy in times of crisis," Temi di discussione (Economic working papers) 1087, Bank of Italy, Economic Research and International Relations Area.
    10. J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
    11. Honaker, James & King, Gary & Blackwell, Matthew, 2011. "Amelia II: A Program for Missing Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i07).
    12. Liberati, Danilo & Loberto, Michele, 2019. "Taxation and housing markets with search frictions," Journal of Housing Economics, Elsevier, vol. 46(C).
    13. Elliot Anenberg & Patrick Bayer, 2013. "Endogenous Sources of Volatility in Housing Markets: The Joint Buyer-Seller Problem," NBER Working Papers 18980, National Bureau of Economic Research, Inc.
    14. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    15. L Rachel Ngai & Kevin D Sheedy, 2020. "The Decision to Move House and Aggregate Housing-Market Dynamics [Opportunistic Matching in the Housing Market]," Journal of the European Economic Association, European Economic Association, vol. 18(5), pages 2487-2531.
    16. Elliot Anenberg & Steven Laufer, 2017. "A More Timely House Price Index," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 722-734, July.
    17. Paul E. Carrillo & Eric R. Wit & William Larson, 2015. "Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(3), pages 609-651, September.
    18. G. Elliott & C. Granger & A. Timmermann (ed.), 2013. "Handbook of Economic Forecasting," Handbook of Economic Forecasting, Elsevier, edition 1, volume 2, number 2.
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    Cited by:

    1. Michele Loberto, 2023. "Foreclosures and House Prices," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 397-424, March.
    2. Guillaume Chapelle & Jean Benoît Eyméoud, 2022. "Can big data increase our knowledge of local rental markets? A dataset on the rental sector in France," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-21, January.

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    More about this item

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • 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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