Skip to main content

Quantitative Methods in Real Estate Mass Appraisal

  • Conference paper
  • First Online:
Experimental and Quantitative Methods in Contemporary Economics (CMEE 2018)

Abstract

Proposed introduction of the ad valorem tax on the real estate market makes it necessary to perform mass appraisal of the real estates. The goal of the chapter was verification of usefulness of econometric and statistical methods in the mass appraisal process. Exponential econometric model and partial τB Kendall correlation coefficients were applied to identify the impact of attributes and location on unit real estate price. The so-called Szczecin algorithm of real estate mass appraisal was the basis in both econometric and statistical approach. Accuracy of both approaches was checked by means of percentage error (PE) and mean absolute percentage error (MAPE) distributions. Real database containing information about 113 transactions with undeveloped land for housing purposes in Szczecin was used. The research results suggest that both methods can be used for real estate mass appraisal; however, the econometric approach gave slightly better results.

The work is financed by the National Centre of Science within the scope of project No. 2017/25/B/HS4/01813.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    In the chapter, significance level is equal to 0.05.

References

  1. Benjamin, J.D., Randall, S., Guttery, R.S., Sirmans, C.F.: Mass appraisal: an introduction to multiple regression analysis for real estate valuation. J. Real Estate Pract. Educ. 7(1), 65–77 (2004)

    Google Scholar 

  2. Bourassa, S.C., Cantoni, E., Hoesli, M.: Predicting house prices with spatial dependence: a comparison of alternative methods. Paper presented at the 15th Conference of the Pacific Rim Real Estate Society (PRRES), Sydney, Australia, 18–21 Jan 2009

    Google Scholar 

  3. Dell, G.: Regression, critical thinking, and the valuation problem today. Apprais. J. 85(3), 217–230 (2017)

    Google Scholar 

  4. Doszyń, M.: Statistical determination of impact of property attributes for weak measurement scales. Real Estate Manag. Valuat. 25(4), 75–84 (2017). https://doi.org/10.1515/remav-2017-0031

    Article  Google Scholar 

  5. Doszyń, M., Hozer, J.: Szczeciński algorytm masowej wyceny nieruchomości—podejście ekonometryczne (Szczecin’s algorithm of real estate mass valuation—econometric approach). Stud. Pr. WNEiZ US 50(1), 19–30 (2017). https://doi.org/10.18276/sip.2017.50/1-02

    Article  Google Scholar 

  6. Han, L., Zhu, J.: Using matrix of thresholding partial correlation coefficients to infer regulatory network. BioSystems 91, 158–165 (2008). https://doi.org/10.1016/j.biosystems.2007.08.008

    Article  Google Scholar 

  7. Hozer, J., Foryś, I., Zwolankowska, M., Kokot, S., Kuźmiński, W.: Ekonometryczny algorytm masowej wyceny nieruchomości gruntowych (Econometric Algorithm of Land Properties Mass Valuation). Katedra Ekonometrii i Statystyki Uniwersytetu Szczecińskiego, Stowarzyszenie Pomoc i Rozwój, Szczecin (1999)

    Google Scholar 

  8. Isakson, H.R.: The review of real estate appraisals using multiple regression analysis. J. Real Estate Res. 15(2), 177–190 (1998)

    Google Scholar 

  9. Kauko, T., D’amato, M. (eds.): Mass Appraisal Methods: An International Perspective for Property Valuers. Blackwell Publishing Ltd (2008)

    Google Scholar 

  10. Kilpatrick, J.: Expert systems and mass appraisal. J. Prop. Invest. Financ. 29(4/5), 529–550 (2011). https://doi.org/10.1108/14635781111150385

    Article  Google Scholar 

  11. Kolenda, M.: Taksonomia numeryczna. Klasyfikacja, porządkowanie i analiza obiektów wielocechowych (Numerical Taxonomy: Classification, Ranking and Analysis of Multivariable Objects). Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu, Wrocław (2006)

    Google Scholar 

  12. Lis, C.: Wykorzystanie metod ekonometryczno-statystycznych w procesie masowej wyceny nieruchomości lokalowych (Application of econometric and statistical methods in the process of mass valuation of residential properties). Typescript, doctor’s thesis, Uniwersytet Szczeciński (2003)

    Google Scholar 

  13. McCluskey, W.J., McCord, M., Davis, P.T., Haran, M., McIllhatton, D.: Prediction accuracy in mass appraisal: a comparison of modern approaches. J. Prop. Res. 30(4), 239–265 (2013). https://doi.org/10.1080/09599916.2013.781204

    Article  Google Scholar 

  14. Pace, R.K., Gilley, O.W.: Estimation employing a priori information within mass appraisal and hedonic pricing models. J. Real Estate Financ. Econ. 3, 55–72 (1990)

    Article  Google Scholar 

  15. Pagourtzi, E., Assimakopoulos, V., Hatzichristos, T., French, N.: Real estate appraisal: a review of valuation methods. J. Prop. Invest. Financ. 21(4), 383–401 (2003). https://doi.org/10.1108/14635780310483656

    Article  Google Scholar 

  16. Parker, R.I., Vannest, K.J., Davis, J.L., Sauber, S.B.: Combining nonoverlap and trend for single-case research: Tau-U. Behav. Ther. 42(2), 284–299 (2011). https://doi.org/10.1016/j.beth.2010.08.006

    Article  Google Scholar 

  17. Zurada, J., Levitan, A.S., Guan, J.: A comparison of regression and artificial intelligence methods in a mass appraisal context. J. Real Estate Res. 33(3), 349–388 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Krzysztof Dmytrów .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Doszyń, M., Dmytrów, K. (2020). Quantitative Methods in Real Estate Mass Appraisal. In: Nermend, K., Łatuszyńska, M. (eds) Experimental and Quantitative Methods in Contemporary Economics. CMEE 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-30251-1_8

Download citation

Publish with us

Policies and ethics