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Predicting residential property value: a comparison of multiple regression techniques

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  • Lee Whieldon

    (University of Maryland, Baltimore County)

  • Huthaifa I. Ashqar

    (Precision Systems, Inc.
    Arab American University)

Abstract

This study aims to predict the prices of residential properties in Catonsville, MD based on publicly available tax assessment data maintained by Maryland government institutions. Recent legislation in Maryland has made it a requirement for local governments to provide up-to-date, easily accessible data to its constituents. This study used three regression techniques: linear, ridge, and lasso regression. Extracting over 11,000 property records from Maryland’s Open Data Portal (ODP), we applied regression techniques to predict the price. We used various independent features to predict the price of residential properties including prior year housing sales price, size of house, house age, street address type (single family or townhouse), if the house has a basement, dwelling type, number of stories, and dwelling grade (scale from 1 to 6). Outperforming lasso and ridge regression, linear regression can enhance the predictability of housing prices and significantly contribute to the correct evaluation of real estate price using only two years of historical data and without additional socioeconomic variables. We also found that among others, prior year housing sales price (positive), size of house (negative), and house age (positive) are the most significant factors in predicting housing sales price in Catonsville, MD.

Suggested Citation

  • Lee Whieldon & Huthaifa I. Ashqar, 2022. "Predicting residential property value: a comparison of multiple regression techniques," SN Business & Economics, Springer, vol. 2(11), pages 1-16, November.
    • Handle: RePEc:spr:snbeco:v:2:y:2022:i:11:d:10.1007_s43546-022-00358-4
    DOI: 10.1007/s43546-022-00358-4
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    References listed on IDEAS

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    1. Hao Wu & Hongzan Jiao & Yang Yu & Zhigang Li & Zhenghong Peng & Lingbo Liu & Zheng Zeng, 2018. "Influence Factors and Regression Model of Urban Housing Prices Based on Internet Open Access Data," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    2. Crone, Theodore M. & Voith, Richard P., 1992. "Estimating house price appreciation: A comparison of methods," Journal of Housing Economics, Elsevier, vol. 2(4), pages 324-338, December.
    3. Jim Clayton, 1996. "Rational Expectations, Market Fundamentals and Housing Price Volatility," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(4), pages 441-470, December.
    4. Susane Leguizamon, 2010. "The Influence of Reference Group House Size on House Price," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(3), pages 507-527, September.
    5. Bradford Case & John Clapp & Robin Dubin & Mauricio Rodriguez, 2004. "Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 167-191, September.
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