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Recent trends in real estate research: a comparison of recent working papers and publications using machine learning algorithms

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  • Wolfgang Breuer

    (RWTH Aachen University)

  • Bertram I. Steininger

    (KTH Royal Institute of Technology, Real Estate Economics and Finance)

Abstract

This paper is organized as follows. In Section 1, we describe the economic relevance of the real estate sector and its recent dynamics. Then, we identify the most mentioned keywords of working papers presented at the real estate conferences between 2015 and 2019 and showing network figures for them in Section 2. In order to identify the newest trends, we rely on working papers since they have an average lead time of at least 1 to 2 years before they are published. In addition, we give a short overview of the articles published in this special issue. To get a better overview of the relevance of real estate related topics in finance, we analyzed the most relevant finance conferences and journals between 2015 and May 2020 in Section 3. To find the topics, we apply the text mining approach Latent Dirichlet Allocation (LDA), an unsupervised machine learning method. The real estate trends (retail, e-commerce) and the potential impact of COVID-19 is described in Section 4.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Wolfgang Breuer & Bertram I. Steininger, 2020. "Recent trends in real estate research: a comparison of recent working papers and publications using machine learning algorithms," Journal of Business Economics, Springer, vol. 90(7), pages 963-974, August.
    • Handle: RePEc:spr:jbecon:v:90:y:2020:i:7:d:10.1007_s11573-020-01005-w
    DOI: 10.1007/s11573-020-01005-w
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    1. repec:dar:wpaper:121625 is not listed on IDEAS
    2. Battistini, Niccolò & Le Roux, Julien & Roma, Moreno & Vourdas, John, 2018. "The state of the housing market in the euro area," Economic Bulletin Articles, European Central Bank, vol. 7.
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    7. Marcelo Cajias & Philipp Freudenreich & Anna Freudenreich & Wolfgang Schäfers, 2020. "Liquidity and prices: a cluster analysis of the German residential real estate market," Journal of Business Economics, Springer, vol. 90(7), pages 1021-1056, August.
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    11. Manz, Florian & Müller, Birgit & Schiereck, Dirk, 2020. "The pricing of European non-performing real estate loan portfolios: evidence on stock market evaluation of complex asset sales," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124734, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

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    2. Mach Łukasz & Dąbrowski Ireneusz & Wotzka Daria & Frącz Paweł, 2023. "The Identification of Seasonality in the Housing Market Using the X13-ARIMA-SEATS Model," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 27(4), pages 29-43, December.

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    More about this item

    JEL classification:

    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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