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Changes in the white–black house value distribution gap from 1997 to 2005

  • Fesselmeyer, Eric
  • Le, Kien T.
  • Seah, Kiat Ying

This paper examines the white–black house value gap across the entire value distribution. Instead of using standard conditional mean analysis and decomposition methods (via OLS regression), we estimate and decompose the changes in the white–black house value gap from 1997 to 2005 using quantile regression. We find that the racial gap in 1997 and 2005 is mostly explained by differences in housing characteristics of white- and black-owned houses but that the variation in the racial gap is explained by racial differences in implicit prices of housing characteristics. Our results show that analysis at the conditional mean masks variations at the tails of the distribution.

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Article provided by Elsevier in its journal Regional Science and Urban Economics.

Volume (Year): 43 (2013)
Issue (Month): 1 ()
Pages: 132-141

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Handle: RePEc:eee:regeco:v:43:y:2013:i:1:p:132-141
Contact details of provider: Web page: http://www.elsevier.com/locate/regec

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  1. Nicodemo, Catia & Raya, Josep Maria, 2012. "Change in the distribution of house prices across Spanish cities," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 739-748.
  2. William J. Collins & Robert A. Margo, 2000. "Race and the Value of Owner-Occupied Housing, 1940-1990," Macroeconomics 0004057, EconWPA.
  3. Katherine A. Kiel & Jeffrey E. Zabel, 1999. "The Accuracy of Owner-Provided House Values: The 1978-1991 American Housing Survey," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(2), pages 263-298.
  4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
  5. Goodman, John Jr. & Ittner, John B., 1992. "The accuracy of home owners' estimates of house value," Journal of Housing Economics, Elsevier, vol. 2(4), pages 339-357, December.
  6. Fesselmeyer, Eric & Le, Kien T. & Seah, Kiat Ying, 2012. "A household-level decomposition of the white–black homeownership gap," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 52-62.
  7. John Y. Campbell & Joao F. Cocco, 2005. "How Do House Prices Affect Consumption? Evidence From Micro Data," Harvard Institute of Economic Research Working Papers 2083, Harvard - Institute of Economic Research.
  8. Albrecht, James & van Vuuren, Aico & Vroman, Susan, 2009. "Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands," Labour Economics, Elsevier, vol. 16(4), pages 383-396, August.
  9. McMillen, Daniel P., 2008. "Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?," Journal of Urban Economics, Elsevier, vol. 64(3), pages 573-589, November.
  10. Birnbaum, Howard & Weston, Rafael, 1974. "Home Ownership and the Wealth Position of Black and White Americans," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 20(1), pages 103-18, March.
  11. Joachim Zietz & Emily N. Zietz & G. Stacy Sirmans., 2007. "Determinants of House Prices: A Quantile Regression Approach," Working Papers 200706, Middle Tennessee State University, Department of Economics and Finance.
  12. Karl E. Case & John M. Quigley & Robert J. Shiller, 2011. "Wealth Effects Revisited 1978-2009," NBER Working Papers 16848, National Bureau of Economic Research, Inc.
  13. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
  14. Bostic, Raphael & Gabriel, Stuart & Painter, Gary, 2009. "Housing wealth, financial wealth, and consumption: New evidence from micro data," Regional Science and Urban Economics, Elsevier, vol. 39(1), pages 79-89, January.
  15. Carrillo, Paul & Yezer, Anthony, 2009. "Alternative measures of homeownership gaps across segregated neighborhoods," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 542-552, September.
  16. Sunwoong Kim, 2000. "Race and home price appreciation in urban neighborhoods: Evidence from Milwaukee, Wisconsin," The Review of Black Political Economy, Springer, vol. 28(2), pages 9-28, December.
  17. Coate, Douglas & Vanderhoff, James, 1993. "Race of the Homeowner and Appreciation of Single-Family Homes in the United States," The Journal of Real Estate Finance and Economics, Springer, vol. 7(3), pages 205-12, November.
  18. Francine D. Blau & John W. Graham, 1990. "Black-White Differences in Wealth and Asset Composition," NBER Working Papers 2898, National Bureau of Economic Research, Inc.
  19. Moshe Buchinsky, 1998. "The dynamics of changes in the female wage distribution in the USA: a quantile regression approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 1-30.
  20. Alan Greenspan & James Kennedy, 2005. "Estimates of home mortgage originations, repayments, and debt on one-to-four-family residences," Finance and Economics Discussion Series 2005-41, Board of Governors of the Federal Reserve System (U.S.).
  21. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
  22. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  23. Long, James E & Caudill, Steven B, 1992. "Racial Differences in Homeownership and Housing Wealth, 1970-1986," Economic Inquiry, Western Economic Association International, vol. 30(1), pages 83-100, January.
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