IDEAS home Printed from https://ideas.repec.org/a/eee/regeco/v93y2022ics0166046221001186.html
   My bibliography  Save this article

Geographic and temporal variation in housing filtering rates

Author

Listed:
  • Liu, Liyi
  • McManus, Doug
  • Yannopoulos, Elias

Abstract

In the field of Housing Economics, filtering is the process by which properties, as they age and depreciate in quality, tend to be occupied by lower-income households. This is the primary mechanism by which competitive markets supply low-income housing. While filtering is an important long-term source of lower-income housing at the national level, this research shows that filtering rates for owner-occupied properties vary considerably both across and within metropolitan statistical areas. Notably, in some markets, properties “filter up” to higher-income households. This paper contributes to our understanding of filtering by demonstrating the geographic and temporal heterogeneity of filtering rates and examining links between filtering, supply elasticity, and gentrification. We also explore two alternative measures of filtering based on changes in relative income rather than real income.

Suggested Citation

  • Liu, Liyi & McManus, Doug & Yannopoulos, Elias, 2022. "Geographic and temporal variation in housing filtering rates," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:regeco:v:93:y:2022:i:c:s0166046221001186
    DOI: 10.1016/j.regsciurbeco.2021.103758
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166046221001186
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.regsciurbeco.2021.103758?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brueckner, Jan K., 1980. "Residential succession and land-use dynamics in a vintage model of urban housing," Regional Science and Urban Economics, Elsevier, vol. 10(2), pages 225-240, June.
    2. 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.
    3. Sweeney, James L., 1974. "A commodity hierarchy model of the rental housing market," Journal of Urban Economics, Elsevier, vol. 1(3), pages 288-323, July.
    4. Evan Mast, 2019. "The Effect of New Market-Rate Housing Construction on the Low-Income Housing Market," Upjohn Working Papers 19-307, W.E. Upjohn Institute for Employment Research.
    5. Eriksen, Michael D. & Rosenthal, Stuart S., 2010. "Crowd out effects of place-based subsidized rental housing: New evidence from the LIHTC program," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 953-966, December.
    6. Arnott, Richard J. & Braid, Ralph M., 1997. "A filtering model with steady-state housing," Regional Science and Urban Economics, Elsevier, vol. 27(4-5), pages 515-546, August.
    7. Hsiao, Cheng & Li, Qi & Racine, Jeffrey S., 2007. "A consistent model specification test with mixed discrete and continuous data," Journal of Econometrics, Elsevier, vol. 140(2), pages 802-826, October.
    8. Phillips, Robyn Swaim, 1981. "A note on the determinants of residential succession," Journal of Urban Economics, Elsevier, vol. 9(1), pages 49-55, January.
    9. Sanghoon Lee & Jeffrey Lin, 2018. "Natural Amenities, Neighbourhood Dynamics, and Persistence in the Spatial Distribution of Income," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 663-694.
    10. Karl E. Case & Robert J. Shiller, 1987. "Prices of single-family homes since 1970: new indexes for four cities," New England Economic Review, Federal Reserve Bank of Boston, issue Sep, pages 45-56.
    11. Weicher, John C. & Thibodeau, Thomas G., 1988. "Filtering and housing markets: An empirical analysis," Journal of Urban Economics, Elsevier, vol. 23(1), pages 21-40, January.
    12. Ohls, James C., 1975. "Public policy toward low income housing and filtering in housing markets," Journal of Urban Economics, Elsevier, vol. 2(2), pages 144-171, April.
    13. Stuart S. Rosenthal, 2014. "Are Private Markets and Filtering a Viable Source of Low-Income Housing? Estimates from a "Repeat Income" Model," American Economic Review, American Economic Association, vol. 104(2), pages 687-706, February.
    14. Brueckner, Jan, 1977. "The determinants of residential succession," Journal of Urban Economics, Elsevier, vol. 4(1), pages 45-59, January.
    15. Eriksen, Michael D., 2009. "The market price of Low-Income Housing Tax Credits," Journal of Urban Economics, Elsevier, vol. 66(2), pages 141-149, September.
    16. Charles Nathanson, 2019. "Trickle-Down Housing Economics," 2019 Meeting Papers 537, Society for Economic Dynamics.
    17. Bond, Eric W. & Coulson, N. Edward, 1989. "Externalities, filtering, and neighborhood change," Journal of Urban Economics, Elsevier, vol. 26(2), pages 231-249, September.
    18. Min Hwang & John M. Quigley, 2004. "Selectivity, Quality Adjustment and Mean Reversion in the Measurement of House Values," The Journal of Real Estate Finance and Economics, Springer, vol. 28(2_3), pages 161-178, March.
    19. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    20. Quentin Brummet & Davin Reed, 2019. "The Effects of Gentrification on the Well-Being and Opportunity of Original Resident Adults and Children," Working Papers 19-30, Federal Reserve Bank of Philadelphia.
    21. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    22. Zanola, Roberto, 2007. "The Dynamics of Art Prices: The Selection Corrected Repeat-Sales Index," POLIS Working Papers 76, Institute of Public Policy and Public Choice - POLIS.
    23. Malpezzi, Stephen & Vandell, Kerry, 2002. "Does the low-income housing tax credit increase the supply of housing?," Journal of Housing Economics, Elsevier, vol. 11(4), pages 360-380, December.
    24. Holian, Matthew J. & Kahn, Matthew E., 2015. "Household carbon emissions from driving and center city quality of life," Ecological Economics, Elsevier, vol. 116(C), pages 362-368.
    25. Joseph Gyourko & Albert Saiz & Anita Summers, 2008. "A New Measure of the Local Regulatory Environment for Housing Markets: The Wharton Residential Land Use Regulatory Index," Urban Studies, Urban Studies Journal Limited, vol. 45(3), pages 693-729, March.
    26. Sinai, Todd & Waldfogel, Joel, 2005. "Do low-income housing subsidies increase the occupied housing stock?," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2137-2164, December.
    27. Braid, Ralph M., 1984. "The effects of government housing policies in a vintage filtering model," Journal of Urban Economics, Elsevier, vol. 16(3), pages 272-296, November.
    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. Ka Shing Cheung & Paavo Monkkonen & Chung Yim Yiu, 2024. "The heterogeneous impacts of widespread upzoning: Lessons from Auckland, New Zealand," Urban Studies, Urban Studies Journal Limited, vol. 61(5), pages 943-967, April.

    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. Mense, Andreas, 2020. "The Impact of New Housing Supply on the Distribution of Rents," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224569, Verein für Socialpolitik / German Economic Association.
    2. Rosenthal, Stuart S., 2008. "Old homes, externalities, and poor neighborhoods. A model of urban decline and renewal," Journal of Urban Economics, Elsevier, vol. 63(3), pages 816-840, May.
    3. Ka Shing Cheung & Paavo Monkkonen & Chung Yim Yiu, 2024. "The heterogeneous impacts of widespread upzoning: Lessons from Auckland, New Zealand," Urban Studies, Urban Studies Journal Limited, vol. 61(5), pages 943-967, April.
    4. Stuart S. Rosenthal, 2014. "Are Private Markets and Filtering a Viable Source of Low-Income Housing? Estimates from a "Repeat Income" Model," American Economic Review, American Economic Association, vol. 104(2), pages 687-706, February.
    5. Rosenthal, Stuart S. & Ross, Stephen L., 2015. "Change and Persistence in the Economic Status of Neighborhoods and Cities," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1047-1120, Elsevier.
    6. Eriksen, Michael D. & Lang, Bree J., 2020. "Overview and proposed reforms of the low-income housing tax credit program," Regional Science and Urban Economics, Elsevier, vol. 80(C).
    7. Mense, Andreas, 2021. "Secondary housing supply," FAU Discussion Papers in Economics 05/2021, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    8. Michael Manville & Michael Lens & Paavo Monkkonen, 2022. "Zoning and affordability: A reply to Rodríguez-Pose and Storper," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 36-58, January.
    9. Kindström, Gabriella & Liang, Che-Yuan, 2024. "Does new housing for the rich benefit the poor? On trickle-down effects of new homes," SocArXiv u7hjv, Center for Open Science.
    10. Bunten, Devin & Kahn, Matthew E., 2017. "Optimal real estate capital durability and localized climate change disaster risk," Journal of Housing Economics, Elsevier, vol. 36(C), pages 1-7.
    11. Kindström, Gabriella & Liang, Che-Yuan, 2024. "Does new housing for the rich benefit the poor? On trickle-down effects of new homes," SocArXiv u7hjv_v1, Center for Open Science.
    12. Brzezicka, Justyna & Łaszek, Jacek & Olszewski, Krzysztof & Waszczuk, Joanna, 2019. "Analysis of the filtering process and the ripple effect on the primary and secondary housing market in Warsaw, Poland," Land Use Policy, Elsevier, vol. 88(C).
    13. Olsen, Edgar O. & Zabel, Jeffrey E., 2015. "US Housing Policy," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 887-986, Elsevier.
    14. Blanco, Hector, 2023. "Pecuniary effects of public housing demolitions: Evidence from Chicago," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    15. Brian Asquith & Evan Mast & Davin Reed, 2019. "Supply Shock Versus Demand Shock: The Local Effects of New Housing in Low-Income Areas," Upjohn Working Papers 19-316, W.E. Upjohn Institute for Employment Research.
    16. Mihir Desai & Dhammika Dharmapala & Monica Singhal, 2010. "Tax Incentives for Affordable Housing: The Low Income Housing Tax Credit," NBER Chapters, in: Tax Policy and the Economy, Volume 24, pages 181-205, National Bureau of Economic Research, Inc.
    17. Baum-Snow, Nathaniel & Ferreira, Fernando, 2015. "Causal Inference in Urban and Regional Economics," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 3-68, Elsevier.
    18. Lyndsey Rolheiser, 2021. "Old, small and unwanted: Post-war housing and neighbourhood socioeconomic status," Urban Studies, Urban Studies Journal Limited, vol. 58(14), pages 2952-2970, November.
    19. Evan Mast, 2019. "The Effect of New Market-Rate Housing Construction on the Low-Income Housing Market," Upjohn Working Papers 19-307, W.E. Upjohn Institute for Employment Research.
    20. Kaneko, Mamoru & Ito, Tamon & Osawa, Yu-ichi, 2006. "Duality in comparative statics in rental housing markets with indivisibilities," Journal of Urban Economics, Elsevier, vol. 59(1), pages 142-170, January.

    More about this item

    Keywords

    Filtering; Affordable housing; Housing markets;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

    Statistics

    Access and download statistics

    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:eee:regeco:v:93:y:2022:i:c:s0166046221001186. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/regec .

    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.