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Urban Location and Housing Prices within a Hedonic Model

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  • Ottensmann, John R.
  • Payton, Seth
  • Man, Joyce

Abstract

A measure of location relative to employment is often included in hedonic housing price models. This is most often distance to the center, based on the monocentric model, which does not consider the decentralization of employment in urban areas. This paper tests the perfor-mance of alternative measures of location, considering both distance and time to the center and to multiple employment centers and measures of accessibility to employment and change in accessibility. The measures using multiple employment centers and accessibility perform better than simple distance to the center, with the combination of accessibility to employment and change in accessibility doing best.

Suggested Citation

  • Ottensmann, John R. & Payton, Seth & Man, Joyce, 2008. "Urban Location and Housing Prices within a Hedonic Model," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1), pages 1-17.
    • Handle: RePEc:ags:jrapmc:132338
    DOI: 10.22004/ag.econ.132338
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    3. Jiang, Like & Hagen-Zanker, Alex & Kumar, Prashant & Pritchard, John, 2021. "Equity in job accessibility and environmental quality in a segmented housing market: The case of Greater London," Journal of Transport Geography, Elsevier, vol. 90(C).
    4. Mohamed A. Abdrabo & Mahmoud A. Hassaan & Rofida G. Abdelwahab, 2022. "A spatial hedonic approach for modeling the relationship between quality of urban life and housing prices, case study: Alexandria city, Egypt," Letters in Spatial and Resource Sciences, Springer, vol. 15(1), pages 59-77, April.
    5. Kh. A. Mottaleb & Seydina Ousmane Sene & Ashok K. Mishra, 2016. "Impact of Remittance Income on House Prices: Evidence from Bangladesh," International Real Estate Review, Global Social Science Institute, vol. 19(1), pages 98-119.
    6. Cyprian Chwiałkowski & Adam Zydroń & Dariusz Kayzer, 2022. "Assessing the Impact of Selected Attributes on Dwelling Prices Using Ordinary Least Squares Regression and Geographically Weighted Regression: A Case Study in Poznań, Poland," Land, MDPI, vol. 12(1), pages 1-20, December.
    7. Papon, Francis & Nguyen-Luong, Dany & Boucq, Elise, 2015. "Should any new light rail line provide real estate gains, or not? The case of the T3 line in Paris," Research in Transportation Economics, Elsevier, vol. 49(C), pages 43-54.
    8. Korhan Gokmenoglu & Siamand Hesami, 2019. "Real estate prices and stock market in Germany: analysis based on hedonic price index," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(4), pages 687-707, April.
    9. Yi Huang & Sandy Dall’erba, 2021. "Does Proximity to School Still Matter Once Access to Your Preferred School Zone Has Already Been Secured?," The Journal of Real Estate Finance and Economics, Springer, vol. 62(4), pages 548-577, May.
    10. Yuting Hou, 2017. "Traffic congestion, accessibility to employment, and housing prices: A study of single-family housing market in Los Angeles County," Urban Studies, Urban Studies Journal Limited, vol. 54(15), pages 3423-3445, November.
    11. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi & Dominguez, Alberto, 2012. "Modelling transport and real-estate values interactions in urban systems," Journal of Transport Geography, Elsevier, vol. 24(C), pages 370-382.
    12. Bo Qin & Sun Sheng Han, 2013. "Emerging Polycentricity in Beijing: Evidence from Housing Price Variations, 2001–05," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2006-2023, August.
    13. Palm, Matthew & Gregor, Brian & Wang, Haizhong & McMullen, B. Starr, 2014. "The trade-offs between population density and households׳ transportation-housing costs," Transport Policy, Elsevier, vol. 36(C), pages 160-172.
    14. Zhu, Jin & Pawson, Hal & Han, Hoon & Li, Bingqin, 2022. "How can spatial planning influence housing market dynamics in a pro-growth planning regime? A case study of Shanghai," Land Use Policy, Elsevier, vol. 116(C).
    15. 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.
    16. David M. Vetter & Kaizô I. Beltrão & Rosa M. R. Massena, 2013. "The Impact of the Sense of Security from Crime on Residential Property Values in Brazilian Metropolitan Areas," Research Department Publications IDB-WP-415, Inter-American Development Bank, Research Department.
    17. Cho, Seong-Hoon & Kim, Taeyoung & Larson, Eric R. & Armsworth, Paul R., 2017. "Economies of scale in forestland acquisition costs for nature conservation," Forest Policy and Economics, Elsevier, vol. 75(C), pages 73-82.
    18. Marcel-Cristian Voia & Thi Hong Thinh Doan, 2019. "What We Should Know About House Reconstruction Costs?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 489-516, April.
    19. Yuchen Zhou & Yuhong Tian & Chi Yung Jim & Xu Liu & Jingya Luan & Mengxuan Yan, 2022. "Effects of Public Transport Accessibility and Property Attributes on Housing Prices in Polycentric Beijing," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    20. Ezio Micelli & Giulia Giliberto & Eleonora Righetto & Greta Tafuri, 2024. "Urban Disparities in Energy Performance Premium Prices: Towards an Unjust Transition?," Land, MDPI, vol. 13(2), pages 1-21, February.
    21. Mahdieh Yazdani, 2021. "House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach," Papers 2108.02442, arXiv.org.
    22. Yinger, John, 2021. "The price of access to jobs: Bid-function envelopes for commuting costs✰," Journal of Housing Economics, Elsevier, vol. 51(C).
    23. Xiaoqi Zhang & Yanqiao Zheng & Lei Sun & Qiwen Dai, 2019. "Urban Structure, Subway Systemand Housing Price: Evidence from Beijing and Hangzhou, China," Sustainability, MDPI, vol. 11(3), pages 1-23, January.

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