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Determining Apartment Rent: The Value of Amenities, Services, and External Factors

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This paper examines the effects of various amenities, services, and external factors on rent for multifamily housing. The attributes studied include amenities and services such as covered parking, modern kitchen, and maid service, occupancy restrictions such as no pets allowed, and external factors such as traffic congestion, proximity to work, and access to public transportation. The empirical results show that a number of these characteristics do affect rent. Specifically, such items as covered parking and modern kitchen are important determinants of rent. External factors such as traffic congestion and access to public transportation also have a significant impact. A model is presented to compare the costs and benefits of providing certain amenities and services.

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  • G. Stacy Sirmans & C.F. Sirmans & John D. Benjamin, 1989. "Determining Apartment Rent: The Value of Amenities, Services, and External Factors," Journal of Real Estate Research, American Real Estate Society, vol. 4(2), pages 33-44.
    • Handle: RePEc:jre:issued:v:4:n:2:1989:p:33-44
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    1. Richard V. Butler, 1982. "The Specification of Hedonic Indexes for Urban Housing," Land Economics, University of Wisconsin Press, vol. 58(1), pages 96-108.
    2. James R. Frew & G. Donald Jud, 1988. "The Vacancy Rate and Rent Levels in the Commercial Office Market," Journal of Real Estate Research, American Real Estate Society, vol. 3(1), pages 1-8.
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    1. C.F. Sirmans & Krisandra A. Guidry, 1993. "The Determinants of Shopping Center Rents," Journal of Real Estate Research, American Real Estate Society, vol. 8(1), pages 107-116.
    2. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    3. Ottoz, Elisabetta & Pavese, Piermassimo & Sella, Lisa, 2020. "The Effect of Movida on Residential Property Prices: An Example from Turin," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202027, University of Turin.
    4. Yu-Chun Cheng & Jen-Jia Lin, 2014. "Job Accessibility Effects on Apartment Rentals," ERES eres2014_53, European Real Estate Society (ERES).
    5. Jian Wang & Murtaza Das & Amar Duggasani, 2016. "Predicting and measuring customer lifetime values for apartment tenants," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 2(2), pages 103-120, October.
    6. Fuerst, Franz, 2007. "Office Rent Determinants: A Hedonic Panel Analysis," MPRA Paper 11445, University Library of Munich, Germany.
    7. Fuerst, Franz & McAllister, Patrick, 2008. "Green Noise or Green Value? Measuring the Price Effects of Environmental Certification in Commercial Buildings," MPRA Paper 11446, University Library of Munich, Germany, revised Sep 2008.
    8. G. Stacy Sirmans & C.F. Sirmans & John D. Benjamin, 1994. "Apartment Rent, Concessions and Occupancy Rates," Journal of Real Estate Research, American Real Estate Society, vol. 9(3), pages 299-312.
    9. repec:fgv:eaespw:01 is not listed on IDEAS
    10. Pierluigi Morano & Paolo Rosato & Francesco Tajani & Benedetto Manganelli & Felicia Di Liddo, 2019. "Contextualized Property Market Models vs. Generalized Mass Appraisals: An Innovative Approach," Sustainability, MDPI, vol. 11(18), pages 1-28, September.
    11. Lin, Jen-Jia & Cheng, Yu-Chun, 2016. "Access to jobs and apartment rents," Journal of Transport Geography, Elsevier, vol. 55(C), pages 121-128.
    12. Yanxiang Anthony Gu & Peter F. Colwell, 1997. "Housing rent and occupational rank in Beijing and Shenyang, People's Republic of China," Journal of Property Research, Taylor & Francis Journals, vol. 14(2), pages 133-143, January.
    13. Michał Hebdzyński, 2024. "Price-setting factors or revealed preferences? How to understand the results of hedonic models and hedonic indices of the housing rental market that base on listings data?," Bank i Kredyt, Narodowy Bank Polski, vol. 55(4), pages 519-550.
    14. Li, Han & Wei, Yehua Dennis & Wu, Yangyi, 2019. "Analyzing the private rental housing market in Shanghai with open data," Land Use Policy, Elsevier, vol. 85(C), pages 271-284.
    15. Carolin Fritzsche & Jan Kluge, 2014. "Wodurch werden die Mietpreise bestimmt? Unterschiede in den Mieten in Ost- und Westdeutschland," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(06), pages 03-10, December.
    16. Löchl, Michael & Axhausen, Kay W., 2010. "Modelling hedonic residential rents for land use and transport simulation while considering spatial effects," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 39-63.
    17. Jingfeng Yuan & Xiaodan Zheng & Jia You & Mirosław J. Skibniewski, 2017. "Identifying Critical Factors Influencing the Rents of Public Rental Housing Delivery by PPPs: The Case of Nanjing," Sustainability, MDPI, vol. 9(3), pages 1-22, February.
    18. Zhenguo Lin & Marcus Allen & Charles Carter, 2013. "Pet Policy and Housing Prices: Evidence from the Condominium Market," The Journal of Real Estate Finance and Economics, Springer, vol. 47(1), pages 109-122, July.
    19. Beth Wilson & James Frew, 2007. "Apartment Rents and Locations in Portland, Oregon: 1992 – 2002," Journal of Real Estate Research, American Real Estate Society, vol. 29(2), pages 201-218.
    20. Julia Freybote & Hua Sun & Xi Yang, 2015. "The Impact of LEED Neighborhood Certification on Condo Prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(3), pages 586-608, September.

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    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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