IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i14p5679-d384722.html
   My bibliography  Save this article

Applying Comparable Sales Method to the Automated Estimation of Real Estate Prices

Author

Listed:
  • Yunjong Kim

    (Financial Supervisory Service, 38, Yeoui-daero, Yeongdeungpo-gu, Seoul 07321, Korea
    These authors contributed equally to this work.)

  • Seungwoo Choi

    (Department of Industrial & Systems Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
    These authors contributed equally to this work.)

  • Mun Yong Yi

    (Department of Industrial & Systems Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea)

Abstract

In this paper, we propose a novel procedure designed to apply comparable sales method to the automated price estimation of real estates, in particular, that of apartments. Apartments are the most popular residential housing type in Korea. The price of a single apartment is influenced by many factors, making it hard to estimate accurately. Moreover, as an apartment is purchased for living, with a sizable amount of money, it is mostly traded infrequently. Thus, its past transaction price may not be particularly helpful to the estimation after a certain period of time. For these reasons, the up-to-date price of an apartment is commonly estimated by certified appraisers, who typically rely on comparable sales method (CSM). CSM requires comparable properties to be identified and used as references in estimating the current price of the property in question. In this research, we develop a procedure to systematically apply this procedure to the automated estimation of apartment prices and assess its applicability using nine years’ real transaction data from the capital city and the most-populated province in South Korea and multiple scenarios designed to reflect the conditions of low and high fluctuations of housing prices. The results from extensive evaluations show that the proposed approach is superior to the traditional approach of relying on real estate professionals and also to the baseline machine learning approach.

Suggested Citation

  • Yunjong Kim & Seungwoo Choi & Mun Yong Yi, 2020. "Applying Comparable Sales Method to the Automated Estimation of Real Estate Prices," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5679-:d:384722
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/14/5679/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/14/5679/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen Machin, 2011. "Houses and Schools: Valuation of School Quality through then Housing Market - EALE 2010 Presidential Address," CEP Occasional Papers 29, Centre for Economic Performance, LSE.
    2. Cerutti, Eugenio & Dagher, Jihad & Dell'Ariccia, Giovanni, 2017. "Housing finance and real-estate booms: A cross-country perspective," Journal of Housing Economics, Elsevier, vol. 38(C), pages 1-13.
    3. de Wit, Erik R. & Englund, Peter & Francke, Marc K., 2013. "Price and transaction volume in the Dutch housing market," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 220-241.
    4. Yuliya Demyanyk & Otto Van Hemert, 2011. "Understanding the Subprime Mortgage Crisis," The Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 1848-1880.
    5. Northcraft, Gregory B. & Neale, Margaret A., 1987. "Experts, amateurs, and real estate: An anchoring-and-adjustment perspective on property pricing decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 39(1), pages 84-97, February.
    6. Touseef Hussain & Jaffar Abbas & Zou Wei & Mohammad Nurunnabi, 2019. "The Effect of Sustainable Urban Planning and Slum Disamenity on The Value of Neighboring Residential Property: Application of The Hedonic Pricing Model in Rent Price Appraisal," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    7. Jin Han Park & Dong Kun Lee & Chan Park & Ho Gul Kim & Tae Yong Jung & Songyi Kim, 2017. "Park Accessibility Impacts Housing Prices in Seoul," Sustainability, MDPI, vol. 9(2), pages 1-14, January.
    8. Feng Lan & Qi Wu & Tao Zhou & Huili Da, 2018. "Spatial Effects of Public Service Facilities Accessibility on Housing Prices: A Case Study of Xi’an, China," Sustainability, MDPI, vol. 10(12), pages 1-20, November.
    9. Chao Xue & Yongfeng Ju & Shuguang Li & Qilong Zhou, 2020. "Research on the Sustainable Development of Urban Housing Price Based on Transport Accessibility: A Case Study of Xi’an, China," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    10. Davis, Morris A. & Palumbo, Michael G., 2008. "The price of residential land in large US cities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 352-384, January.
    11. Machin, Stephen, 2011. "Houses and schools: Valuation of school quality through the housing market," Labour Economics, Elsevier, vol. 18(6), pages 723-729.
    12. Charles K. Y. Leung & Garion C. K. Lau & Youngman C. F. Leong, 2002. "Testing Alternative Theories of the Property Price-Trading Volume Correlation," Journal of Real Estate Research, American Real Estate Society, vol. 23(3), pages 253-264.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jungsun Kim & Jaewoong Won & Hyeongsoon Kim & Joonghyeok Heo, 2021. "Machine-Learning-Based Prediction of Land Prices in Seoul, South Korea," Sustainability, MDPI, vol. 13(23), pages 1-14, November.
    2. Elena Bykowa & Maria Skachkova & Ivan Raguzin & Irina Dyachkova & Maxim Boltov, 2022. "Automation of Negative Infrastructural Externalities Assessment Methods to Determine the Cost of Land Resources Based on the Development of a “Thin Client” Model," Sustainability, MDPI, vol. 14(15), pages 1-29, July.
    3. Seungwoo Choi & Mun Yong Yi, 2021. "Computational Valuation Model of Housing Price Using Pseudo Self Comparison Method," Sustainability, MDPI, vol. 13(20), pages 1-22, October.
    4. Nataliya Rekova & Hanna Telnova & Oleh Kachur & Iryna Golubkova & Tomas Baležentis & Dalia Streimikiene, 2020. "Financial Sustainability Evaluation and Forecasting Using the Markov Chain: The Case of the Wine Business," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    5. Sebastian Gnat, 2021. "Property Mass Valuation on Small Markets," Land, MDPI, vol. 10(4), pages 1-14, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Seungwoo Choi & Mun Yong Yi, 2021. "Computational Valuation Model of Housing Price Using Pseudo Self Comparison Method," Sustainability, MDPI, vol. 13(20), pages 1-22, October.
    2. Stanislav Endel & Marek Teichmann & Dagmar Kutá, 2020. "Possibilities of House Valuation Automation in the Czech Republic," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    3. Linlin Zhang & Tao Zhou & Chao Mao, 2019. "Does the Difference in Urban Public Facility Allocation Cause Spatial Inequality in Housing Prices? Evidence from Chongqing, China," Sustainability, MDPI, vol. 11(21), pages 1-20, November.
    4. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    5. Song, Zisheng, 2021. "The capitalization of school quality in rents in the Beijing housing market: A propensity score method," Working Paper Series 21/7, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    6. van Vuuren, Aico, 2022. "Is there a diminishing value of urban amenities as a result of the Covid-19 pandemic?," Working Papers in Economics 818, University of Gothenburg, Department of Economics.
    7. Stephen Machin & Sandra McNally & Gill Wyness, 2013. "Education in a Devolved Scotland: A Quantitative Analysis," CEP Reports 30, Centre for Economic Performance, LSE.
    8. Badland, Hannah & Pearce, Jamie, 2019. "Liveable for whom? Prospects of urban liveability to address health inequities," Social Science & Medicine, Elsevier, vol. 232(C), pages 94-105.
    9. Rajapaksa, Darshana & Gono, Marcel & Wilson, Clevo & Managi, Shunsuke & Lee, Boon & Hoang, Viet-Ngu, 2020. "The demand for education: The impacts of good schools on property values in Brisbane, Australia," Land Use Policy, Elsevier, vol. 97(C).
    10. Muñoz-Morales, Juan & Singh, Ruchi, 2023. "Do school shootings erode property values?," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    11. Marco Ovidi, 2021. "Parents know better: primary school choice and student achievement in London," Working Papers 919, Queen Mary University of London, School of Economics and Finance.
    12. Michele Raitano & Francesco Vona, 2015. "Measuring the link between intergenerational occupational mobility and earnings: evidence from eight European countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(1), pages 83-102, March.
    13. Jake Anders & Francis Green & Morag Henderson & Golo Henseke, 2020. "Determinants of private school participation: all about the money?," CEPEO Working Paper Series 20-06, UCL Centre for Education Policy and Equalising Opportunities, revised Feb 2020.
    14. Puhani, Patrick A., 2018. "Do boys benefit from male teachers in elementary school? Evidence from administrative panel data," Labour Economics, Elsevier, vol. 51(C), pages 340-354.
    15. Mathilde Poulhes, 2017. "From Latin Quarter to Montmartre Investigating Parisian Real-Estate Prices," Working Papers 2017-13, Center for Research in Economics and Statistics.
    16. Arslan, Yavuz & Kanık, Birol & Köksal, Bülent, 2015. "Anticipated vs. unanticipated house price movements and transaction volume," Journal of Housing Economics, Elsevier, vol. 28(C), pages 121-129.
    17. de Araujo, Douglas Kiarelly Godoy & Barroso, Joao Barata Ribeiro Blanco & Gonzalez, Rodrigo Barbone, 2020. "Loan-to-value policy and housing finance: Effects on constrained borrowers," Journal of Financial Intermediation, Elsevier, vol. 42(C).
    18. Cyprian Chwiałkowski & Adam Zydroń, 2021. "Socio-Economic and Spatial Characteristics of Wielkopolski National Park: Application of the Hedonic Pricing Method," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    19. Marco Ovidi, 2022. "Parents Know Better: Sorting on Match Effects in Primary School," DISCE - Working Papers del Dipartimento di Economia e Finanza def121, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    20. Boeri, Filippo & Di Cataldo, Marco & Pietrostefani, Elisabetta, 2022. "Localised effects of re-allocated real estate mafia assets," LSE Research Online Documents on Economics 116682, London School of Economics and Political Science, LSE Library.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5679-:d:384722. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.