IDEAS home Printed from https://ideas.repec.org/a/taf/regstd/v48y2014i5p844-865.html
   My bibliography  Save this article

Explaining the Spatial Variation in Homeownership Rates: Results for German Regions

Author

Listed:
  • Oliver W. Lerbs
  • Christian A. Oberst

Abstract

Lerbs O. W. and Oberst C. A. Explaining the spatial variation in homeownership rates: results for German regions, Regional Studies . This paper employs cross-sectional data on ninety-six German regions to investigate the interregional variability of homeownership rates. Among the explanatory variables, the analysis includes important regional housing market indicators as well as regional socio-demographic composition, urbanization and labour market performance. An estimation strategy is chosen which accounts for different forms of spatial dependence between the regional units. It is found that regional differences in the relative price of owning versus renting and the affordability of owner-occupied housing play a key role in explaining why homeownership rates vary so substantially across the country. The results indicate significant neighbourhood effects for several variables.

Suggested Citation

  • Oliver W. Lerbs & Christian A. Oberst, 2014. "Explaining the Spatial Variation in Homeownership Rates: Results for German Regions," Regional Studies, Taylor & Francis Journals, vol. 48(5), pages 844-865, May.
    • Handle: RePEc:taf:regstd:v:48:y:2014:i:5:p:844-865
    DOI: 10.1080/00343404.2012.685464
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00343404.2012.685464
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00343404.2012.685464?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Oswald Andrew J., 1996. "A Conjecture on the Explanation for High Unemployment in the Industrialized Nations : Part I," The Warwick Economics Research Paper Series (TWERPS) 475, University of Warwick, Department of Economics.
    2. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    3. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    4. Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2010. "A Spatial Cliff‐Ord‐Type Model With Heteroskedastic Innovations: Small And Large Sample Results," Journal of Regional Science, Wiley Blackwell, vol. 50(2), pages 592-614, May.
    5. Edward L. Glaeser & Joseph Gyourko, "undated". "The Impact of Zoning on Housing Affordability," Zell/Lurie Center Working Papers 395, Wharton School Samuel Zell and Robert Lurie Real Estate Center, University of Pennsylvania.
    6. 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.
    7. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    8. Richard M. Bird & Enid Slack (ed.), 2004. "International Handbook of Land and Property Taxation," Books, Edward Elgar Publishing, number 3304.
    9. Coulson, N. Edward & Fisher, Lynn M., 2009. "Housing tenure and labor market impacts: The search goes on," Journal of Urban Economics, Elsevier, vol. 65(3), pages 252-264, May.
    10. Coulson, N Edward, 2002. "Regional and State Variation in Homeownership Rates; or If California's Home Prices Were As Low As Pennsylvania's Would Its Ownership Rate Be As High?," The Journal of Real Estate Finance and Economics, Springer, vol. 24(3), pages 261-276, May.
    11. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    12. 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.
    13. Henderson, J Vernon & Ioannides, Yannis M, 1983. "A Model of Housing Tenure Choice," American Economic Review, American Economic Association, vol. 73(1), pages 98-113, March.
    14. Lippe Peter Michael von der & Breuer Claus Christian, 2008. "Möglichkeiten und Grenzen regionaler Kaufkraftvergleiche," Review of Economics, De Gruyter, vol. 59(1), pages 31-46, April.
    15. Poterba, James M, 1992. "Taxation and Housing: Old Questions, New Answers," American Economic Review, American Economic Association, vol. 82(2), pages 237-242, May.
    16. Paul Bernd Spahn, 2004. "Land Taxation in Germany," Chapters, in: Richard M. Bird & Enid Slack (ed.), International Handbook of Land and Property Taxation, chapter 7, Edward Elgar Publishing.
    17. Javier A. Barrios Garcia & Jose E. Rodriguez Hernandez, 2004. "User Cost Changes, Unemployment and Home-ownership: Evidence from Spain," Urban Studies, Urban Studies Journal Limited, vol. 41(3), pages 563-578, March.
    18. Piras, Gianfranco, 2010. "sphet: Spatial Models with Heteroskedastic Innovations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i01).
    19. Peter Lippe & Claus Breuer, 2010. "Datengewinnung im periodischen regionalen Preisvergleich–Die Problematik der Mieten und Immobilienpreise," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 30(2), pages 191-222, September.
    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. Gohl, Niklas & Haan, Peter & Michelsen, Claus & Weinhardt, Felix, 2019. "Deutschland: ein Land der Mieter? Die Rolle von Erwartungen über zukünftige Immobilienpreisentwicklungen," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(1), pages 95-109.
    2. Sebastian Kohl, 2016. "Urban History Matters: Explaining the German--American Homeownership Gap," Housing Studies, Taylor & Francis Journals, vol. 31(6), pages 694-713, September.
    3. Oliver W. Lerbs, 2014. "House prices, housing development costs, and the supply of new single-family housing in German counties and cities," Journal of Property Research, Taylor & Francis Journals, vol. 31(3), pages 183-210, September.
    4. Oliver Lerbs, "undated". "House Prices, Housing Development Costs, and the Supply of New Single-Family Housing in German Counties and Cities," Working Papers 201283, Institute of Spatial and Housing Economics, Munster Universitary.
    5. Berlemann, Michael & Jahn, Vera, 2014. "Governance, Firm Size and Innovative Capacity: Regional Empirical Evidence for Germany," Working Paper 150/2014, Helmut Schmidt University, Hamburg.
    6. Fuess, Roland & Lerbs, Oliver, 2017. "Do Local Governments Tax Homeowner Communities Differently?," Working Papers on Finance 1714, University of St. Gallen, School of Finance.
    7. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    8. Wolf, Nikolaus & Caruana-Galizia, Paul, 2015. "Bombs, homes, and jobs: Revisiting the Oswald hypothesis for Germany," Economics Letters, Elsevier, vol. 135(C), pages 65-68.
    9. Saarimaa, Tuukka & Kortelainen, Mika, 2012. "Do homeowners benefit urban neighborhoods? Evidence from housing prices," Working Papers 36, VATT Institute for Economic Research.
    10. Robert Lehmann & Wolfgang Nagl, 2019. "Explaining spatial patterns of foreign employment in Germany," Regional Studies, Taylor & Francis Journals, vol. 53(7), pages 991-1003, July.
    11. Konstantin A. Kholodilin & Andreas Mense, 2011. "Can Internet Ads Serve as an Indicator of Homeownership Rates?," Discussion Papers of DIW Berlin 1168, DIW Berlin, German Institute for Economic Research.
    12. Timothy Blackwell & Sebastian Kohl, 2018. "Urban heritages: How history and housing finance matter to housing form and homeownership rates," Urban Studies, Urban Studies Journal Limited, vol. 55(16), pages 3669-3688, December.
    13. Michael Berlemann & Vera Jahn, 2016. "Regional Importance of Mittelstand Firms and Innovation Performance," Regional Studies, Taylor & Francis Journals, vol. 50(11), pages 1819-1833, November.
    14. Tuukka Saarimaa & Mika Kortelainen, 2012. "Do Homeowners Benefit the Neighborhood? Evidence from Semiparametric Hedonic Regressions," ERSA conference papers ersa12p472, European Regional Science Association.
    15. Marcelo Cajias & Philipp Freudenreich & Anna Freudenreich, 2020. "Exploring the determinants of real estate liquidity from an alternative perspective: censored quantile regression in real estate research," Journal of Business Economics, Springer, vol. 90(7), pages 1057-1086, August.
    16. Jahn, Vera, 2015. "The Importance of Mittelstand Firms for Regional Apprenticeship Activity - Lessons for Policy -," Working Paper 158/2015, Helmut Schmidt University, Hamburg.
    17. Gabriel M. Ahlfeldt & Wolfgang Maennig, 2019. "Gewinner und Verlierer von Stadtentwicklung: Ein Plädoyer für mehr Wohneigentum [Winners and losers of urban development: A plea for more home ownership]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 111-130, November.
    18. Jahn, Vera, 2017. "The Importance of Mittelstand Firms for Regional Apprenticeship Activity," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168260, Verein für Socialpolitik / German Economic Association.
    19. Höfer, Tim & Madlener, Reinhard, 2018. "Locational (In-)Efficiency of Renewable Power Generation Feeding in the Electricity Grid: A Spatial Regression Analysis," FCN Working Papers 13/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised 01 Dec 2019.
    20. Lerbs, Oliver W., 2012. "House prices, housing development costs, and the supply of new single-family housing in German counties and cities," CAWM Discussion Papers 57, University of Münster, Münster Center for Economic Policy (MEP).
    21. Sunak, Yasin & Madlener, Reinhard, 2014. "Local Impacts of Wind Farms on Property Values: A Spatial Difference-in-Differences Analysis," FCN Working Papers 1/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Oct 2014.
    22. Martin, Thorsten, 2017. "You shall not build! (until tomorrow) [:] Electoral cycles and housing policies in Germany," MPRA Paper 78998, University Library of Munich, Germany.
    23. Kai Duttle, 2016. "Cognitive Skills And Confidence: Interrelations With Overestimation, Overplacement And Overprecision," Bulletin of Economic Research, Wiley Blackwell, vol. 68(S1), pages 42-55, December.
    24. Oberst, Christian & Oelgemöller, Jens, 2013. "Economic Growth and Regional Labor Market Development in German Regions: Okun’s Law in a Spatial Context," FCN Working Papers 5/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

    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. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    2. repec:rri:wpaper:201301 is not listed on IDEAS
    3. Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2017. "A Panel Data Toolbox for MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i06).
    4. Liu, Shew Fan & Yang, Zhenlin, 2015. "Modified QML estimation of spatial autoregressive models with unknown heteroskedasticity and nonnormality," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 50-70.
    5. Gianfranco Piras & Mauricio Sarrias, 2023. "Heterogeneous spatial models in R: spatial regimes models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-32, December.
    6. Bonanno, Alessandro & Ghosh, Gaurav S., 2010. "SNAP Efficacy and Food Access – A Nationwide Spatial Analysis," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116437, European Association of Agricultural Economists.
    7. Paul Feichtinger & Klaus Salhofer, 2016. "The Fischler Reform of the Common Agricultural Policy and Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 92(3), pages 411-432.
    8. Lehn, Friederike & Bahrs, Enno, 2018. "Analysis of factors influencing standard farmland values with regard to stronger interventions in the German farmland market," Land Use Policy, Elsevier, vol. 73(C), pages 138-146.
    9. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    10. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    11. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    12. Christian Helmers & Manasa Patnam, 2014. "Does the rotten child spoil his companion? Spatial peer effects among children in rural India," Quantitative Economics, Econometric Society, vol. 5, pages 67-121, March.
    13. Patricia Suárez & Matías Mayor & Begoña Cueto, 2012. "The accessibility to employment offices in the Spanish labour market," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 823-848, November.
    14. Gianfranco Piras & Paolo Postiglione & Patricio Aroca, 2012. "Specialization, R&D and productivity growth: evidence from EU regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 35-51, August.
    15. Gianni Guastella & Frank van Oort, 2012. "Knowledge Creation vs Knowledge Co-Production: Knowledge Intensive Business Servises and Innovative Activity in EU Regions," ERSA conference papers ersa12p424, European Regional Science Association.
    16. Feichtinger, Paul & Salhofer, Klaus, 2014. "The common agricultural policy of the EU and agricultural land prices - a spatial econometric approach for Bavaria," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182751, European Association of Agricultural Economists.
    17. Dongwoo Kang & Sandy Dall’erba, 2016. "An Examination of the Role of Local and Distant Knowledge Spillovers on the US Regional Knowledge Creation," International Regional Science Review, , vol. 39(4), pages 355-385, October.
    18. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    19. Sueli Moro & Reginaldo J. Santos, 2013. "The characteristics and evolution of the Brazilian spatial urban system: empirical evidences for the long-run, 1970-2010," Textos para Discussão Cedeplar-UFMG 474, Cedeplar, Universidade Federal de Minas Gerais.
    20. Ariane Amin & Johanna Choumert, 2015. "Development and biodiversity conservation in Sub-Saharan Africa: A spatial analysis," Economics Bulletin, AccessEcon, vol. 35(1), pages 729-744.
    21. Susan Elizabeth Chen & Raymond J. Florax & Samantha D. Snyder, 2013. "Obesity and fast food in urban markets: a new approach using geo‐referenced micro data," Health Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 835-856, July.

    More about this item

    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:taf:regstd:v:48:y:2014:i:5:p:844-865. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CRES20 .

    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.