IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i4p1026-d138888.html
   My bibliography  Save this article

Geographically Weighted Regression Models in Estimating Median Home Prices in Towns of Massachusetts Based on an Urban Sustainability Framework

Author

Listed:
  • Yaxiong Ma

    (Department of Earth and Environment, Boston University, Boston, MA 02215, USA)

  • Sucharita Gopal

    (Department of Earth and Environment, Boston University, Boston, MA 02215, USA)

Abstract

Housing is a key component of urban sustainability. The objective of this study was to assess the significance of key spatial determinants of median home price in towns in Massachusetts that impact sustainable growth. Our analysis investigates the presence or absence of spatial non-stationarity in the relationship between sustainable growth, measured in terms of the relationship between home values and various parameters including the amount of unprotected forest land, residential land, unemployment, education, vehicle ownership, accessibility to commuter rail stations, school district performance, and senior population. We use the standard geographically weighted regression (GWR) and Mixed GWR models to analyze the effects of spatial non-stationarity. Mixed GWR performed better than GWR in terms of Akaike Information Criterion (AIC) values. Our findings highlight the nature and spatial extent of the non-stationary vs. stationary qualities of key environmental and social determinants of median home price. Understanding the key determinants of housing values, such as valuation of green spaces, public school performance metrics, and proximity to public transport, enable towns to use different strategies of sustainable urban planning, while understanding urban housing determinants—such as unemployment and senior population—can help modify urban sustainable housing policies.

Suggested Citation

  • Yaxiong Ma & Sucharita Gopal, 2018. "Geographically Weighted Regression Models in Estimating Median Home Prices in Towns of Massachusetts Based on an Urban Sustainability Framework," Sustainability, MDPI, vol. 10(4), pages 1-27, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1026-:d:138888
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/4/1026/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/4/1026/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    2. Case, Karl E. & Mayer, Christopher J., 1996. "Housing price dynamics within a metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 26(3-4), pages 387-407, June.
    3. Wei, Chuan-Hua & Qi, Fei, 2012. "On the estimation and testing of mixed geographically weighted regression models," Economic Modelling, Elsevier, vol. 29(6), pages 2615-2620.
    4. David Brasington & Donald R. Haurin, 2006. "Educational Outcomes and House Values: A Test of the value added Approach," Journal of Regional Science, Wiley Blackwell, vol. 46(2), pages 245-268, May.
    5. Michael W. L. Elsby & Bart Hobijn & Aysegul Sahin, 2010. "The Labor Market in the Great Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(1 (Spring), pages 1-69.
    6. Clapp, John M. & Nanda, Anupam & Ross, Stephen L., 2008. "Which school attributes matter? The influence of school district performance and demographic composition on property values," Journal of Urban Economics, Elsevier, vol. 63(2), pages 451-466, March.
    7. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    8. Kostas Tsatsaronis & Haibin Zhu, 2004. "What drives housing price dynamics: cross-country evidence," BIS Quarterly Review, Bank for International Settlements, March.
    9. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1253-1296.
    10. Corinne Mulley, 2014. "Accessibility and Residential Land Value Uplift: Identifying Spatial Variations in the Accessibility Impacts of a Bus Transitway," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1707-1724, June.
    11. Stephen Gibbons & Stephen Machin, 2008. "Valuing school quality, better transport, and lower crime: evidence from house prices," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(1), pages 99-119, spring.
    12. David Wachsmuth & Daniel Aldana Cohen & Hillary Angelo, 2016. "Expand the frontiers of urban sustainability," Nature, Nature, vol. 536(7617), pages 391-393, August.
    13. Robert J. Shiller, 2007. "Understanding recent trends in house prices and homeownership," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 89-123.
    14. Goodman, Allen C. & Thibodeau, Thomas G., 2003. "Housing market segmentation and hedonic prediction accuracy," Journal of Housing Economics, Elsevier, vol. 12(3), pages 181-201, September.
    15. Shiller Robert J., 2006. "Long-Term Perspectives on the Current Boom in Home Prices," The Economists' Voice, De Gruyter, vol. 3(4), pages 1-11, March.
    16. Chang-Lin Mei & Ning Wang & Wen-Xiu Zhang, 2006. "Testing the Importance of the Explanatory Variables in a Mixed Geographically Weighted Regression Model," Environment and Planning A, , vol. 38(3), pages 587-598, March.
    17. Christopher D. Higgins & Pavlos S. Kanaroglou, 2016. "Forty years of modelling rapid transit’s land value uplift in North America: moving beyond the tip of the iceberg," Transport Reviews, Taylor & Francis Journals, vol. 36(5), pages 610-634, September.
    18. Charles C. Tu & Mark J. Eppli, 2001. "An Empirical Examination of Traditional Neighborhood Development," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(3), pages 485-501, March.
    19. Danlin Yu & Yehua Dennis Wei & Changshan Wu, 2007. "Modeling Spatial Dimensions of Housing Prices in Milwaukee, WI," Environment and Planning B, , vol. 34(6), pages 1085-1102, December.
    20. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    21. Karl E. Case & Robert J. Shiller, 2003. "Is There a Bubble in the Housing Market?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 299-362.
    22. David C Wheeler, 2007. "Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression," Environment and Planning A, , vol. 39(10), pages 2464-2481, October.
    23. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    24. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    25. Yee Leung & Chang-Lin Mei & Wen-Xiu Zhang, 2000. "Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model," Environment and Planning A, , vol. 32(1), pages 9-32, January.
    26. M Alberti, 1999. "Modeling the Urban Ecosystem: A Conceptual Framework," Environment and Planning B, , vol. 26(4), pages 605-629, August.
    27. Rogers, William H. & Winkler, Anne E., 2013. "The Relationship between the Housing & Labor Market Crises and Doubling-Up: An MSA-Level Analysis, 2005-2010," IZA Discussion Papers 7263, Institute of Labor Economics (IZA).
    28. Cutts, Bethany B. & Darby, Kate J. & Boone, Christopher G. & Brewis, Alexandra, 2009. "City structure, obesity, and environmental justice: An integrated analysis of physical and social barriers to walkable streets and park access," Social Science & Medicine, Elsevier, vol. 69(9), pages 1314-1322, November.
    29. Clifford M. Hurvich & Jeffrey S. Simonoff & Chih‐Ling Tsai, 1998. "Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 271-293.
    30. Kurt Paulsen, 2013. "The Effects of Growth Management on the Spatial Extent of Urban Development, Revisited," Land Economics, University of Wisconsin Press, vol. 89(2), pages 193-210.
    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. Veronika Liebelt & Stephan Bartke & Nina Schwarz, 2019. "Urban Green Spaces and Housing Prices: An Alternative Perspective," Sustainability, MDPI, vol. 11(13), pages 1-21, July.
    2. Amarin Siripanich & Taha Hossein Rashidi & Emily Moylan, 2019. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data," Sustainability, MDPI, vol. 11(9), pages 1-24, May.
    3. Wojciech Kisiała & Izabela Rącka, 2021. "Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    4. Yanyan Chen & Hanqiang Qian & Yang Wang, 2020. "Analysis of Beijing’s Working Population Based on Geographically Weighted Regression Model," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    5. Zolnik, Edmund, 2021. "Geographically weighted regression models of residential property transactions: Walkability and value uplift," Journal of Transport Geography, Elsevier, vol. 92(C).
    6. Yunfeng Hu & Yueqi Han, 2019. "Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    7. Fan Yang & Fan Ding & Xu Qu & Bin Ran, 2019. "Estimating Urban Shared-Bike Trips with Location-Based Social Networking Data," Sustainability, MDPI, vol. 11(11), pages 1-14, June.
    8. Minjie Li & Jian Wang & Yihui Chen, 2019. "Evaluation and Influencing Factors of Sustainable Development Capability of Agriculture in Countries along the Belt and Road Route," Sustainability, MDPI, vol. 11(7), pages 1-28, April.
    9. Alice Barreca, 2022. "Architectural Quality and the Housing Market: Values of the Late Twentieth Century Built Heritage," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
    10. Talat Munshi, 2020. "Accessibility, Infrastructure Provision and Residential Land Value: Modelling the Relation Using Geographic Weighted Regression in the City of Rajkot, India," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    11. Marta Sylla & Tadeusz Lasota & Szymon Szewrański, 2019. "Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland," Sustainability, MDPI, vol. 11(3), pages 1-15, January.

    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. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    2. Christian A. L. Hilber, 2017. "The Economic Implications of House Price Capitalization: A Synthesis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(2), pages 301-339, April.
    3. Dongwoo Kang & Sandy Dall’erba, 2016. "Exploring the spatially varying innovation capacity of the US counties in the framework of Griliches’ knowledge production function: a mixed GWR approach," Journal of Geographical Systems, Springer, vol. 18(2), pages 125-157, April.
    4. Nguyen-Hoang, Phuong & Yinger, John, 2011. "The capitalization of school quality into house values: A review," Journal of Housing Economics, Elsevier, vol. 20(1), pages 30-48, March.
    5. Hilber, Christian A. L., 2011. "The economics implications of house price capitalization a survey of an emerging literature," LSE Research Online Documents on Economics 58596, London School of Economics and Political Science, LSE Library.
    6. Wenjie Wu & Guanpeng Dong & Wenzhong Zhang, 2017. "The puzzling heterogeneity of amenity capitalization effects on land markets," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 135-153, March.
    7. Chang-Lin Mei & Feng Chen & Wen-Tao Wang & Peng-Cheng Yang & Si-Lian Shen, 2021. "Efficient estimation of heteroscedastic mixed geographically weighted regression models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(1), pages 185-206, February.
    8. Yongsheng Jiang & Dong Zhao & Andrew Sanderford & Jing Du, 2018. "Effects of Bank Lending on Urban Housing Prices for Sustainable Development: A Panel Analysis of Chinese Cities," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    9. Thomas M. Fullerton & Arturo Bujanda, 2018. "Commercial property values in a border metropolitan economy," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 337-360, August.
    10. Beaudoin, Justin & Tyndall, Justin, 2023. "The effect of bus rapid transit on local home prices," Research in Transportation Economics, Elsevier, vol. 102(C).
    11. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    12. Yigong Hu & Binbin Lu & Yong Ge & Guanpeng Dong, 2022. "Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression," Environment and Planning B, , vol. 49(6), pages 1715-1740, July.
    13. Machin, Stephen, 2011. "Houses and schools: Valuation of school quality through the housing market," Labour Economics, Elsevier, vol. 18(6), pages 723-729.
    14. Diks, Cees & Wang, Juanxi, 2016. "Can a stochastic cusp catastrophe model explain housing market crashes?," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 68-88.
    15. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    16. Arias, Maria A. & Gascon, Charles S. & Rapach, David E., 2016. "Metro business cycles," Journal of Urban Economics, Elsevier, vol. 94(C), pages 90-108.
    17. Edward Chi Ho Tang & Charles Ka Yui Leung, 2024. "Icing on the cake: Can the Top-Floor Units serve as a status good and an investment simultaneously?," ISER Discussion Paper 1252, Institute of Social and Economic Research, Osaka University.
    18. Gibbons, Stephen & Silva, Olmo, 2011. "School quality, child wellbeing and parents' satisfaction," Economics of Education Review, Elsevier, vol. 30(2), pages 312-331, April.
    19. Elias Oikarinen & Steven C. Bourassa & Martin Hoesli & Janne Engblom, 2017. "Revisiting the House Price-Income Relationship," LARES lares_2017_paper_26, Latin American Real Estate Society (LARES).
    20. Dubé, Jean & Andrianary, Eugénie & Assad-Déry, François & Poupart, Janie & Simard, Justine, 2018. "Exploring difference in value uplift resulting from new bus rapid transit routes within a medium size metropolitan area," Journal of Transport Geography, Elsevier, vol. 72(C), pages 258-269.

    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:10:y:2018:i:4:p:1026-:d:138888. 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.