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

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  • Oliver Lerbs
  • Christian Oberst

Abstract

This paper employs cross-sectional data on 96 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 labor market performance. An estimation strategy is chosen which accounts for different forms of spatial dependence among the regional units. We find 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 neighborhood effects for several variables.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2011/wp-cesifo-2011-03/cesifo1_wp3377.pdf
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Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 3377.

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Date of creation: 2011
Date of revision:
Handle: RePEc:ces:ceswps:_3377

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Related research

Keywords: homeownership; regional housing markets; spatial econometrics;

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References

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  1. 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.
  2. 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.
  3. Gianfranco Piras, . "sphet: Spatial Models with Heteroskedastic Innovations in R," Journal of Statistical Software, American Statistical Association, vol. 35(i01).
  4. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
  5. 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.
  6. 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 261-76, May.
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Cited by:
  1. Tuukka Saarimaa & Mika Kortelainen, 2012. "Do Homeowners Benefit the Neighborhood? Evidence from Semiparametric Hedonic Regressions," ERSA conference papers ersa12p472, European Regional Science Association.
  2. Mika Kortelainen & Tuukka Saarimaa, 2012. "Do Homeowners Benefit Urban Neighborhoods? Evidence from Housing Prices," SERC Discussion Papers 0110, Spatial Economics Research Centre, LSE.
  3. 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).
  4. 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.
  5. Oliver Lerbs, . "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.
  6. Oliver Lerbs, 2012. "House Prices, Housing Development Costs, and the Supply of New Single-Family Housing in German Counties and Cities," ERSA conference papers ersa12p258, European Regional Science Association.
  7. 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, Center of Applied Economic Research Münster (CAWM), University of Münster.

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