Property Assessments and Information Asymmetry in Residential Real Estate
AbstractThis paper presents a game theoretic model of property tax assessment that allows a tax appraiser to either choose a high or a low assessment. The owner either accepts or challenges this assessment. A ‘‘fixed effects’’ regression model is used to evaluate the differences in the assessed values of a sample of houses from Bexar County, Texas during 2000 and 2001. Where the owner of the house is identified as a state licensed property tax consultant, the assessed value, after adjusting for size, age, and other economic characteristics, ranged from a statistically robust 2.5% to 6.2% lower than neighboring houses.
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Bibliographic InfoArticle provided by American Real Estate Society in its journal journal of Real Estate Research.
Volume (Year): 28 (2006)
Issue (Month): 3 ()
Contact details of provider:
Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
Web page: http://www.aresnet.org/
Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
Find related papers by JEL classification:
- L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
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- Mark J. Garmaise, 2004. "Confronting Information Asymmetries: Evidence from Real Estate Markets," Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 405-437.
- Rutherford, R.C. & Springer, T.M. & Yavas, A., 2005. "Conflicts between principals and agents: evidence from residential brokerage," Journal of Financial Economics, Elsevier, vol. 76(3), pages 627-665, June.
- John M. Clapp & Walter Dolde & Dogan Tirtiroglu, 1995. "Imperfect Information and Investor Inferences From Housing Price Dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(3), pages 239-269.
- Milgrom, Paul & Stokey, Nancy, 1982.
"Information, trade and common knowledge,"
Journal of Economic Theory,
Elsevier, vol. 26(1), pages 17-27, February.
- Pedro M. M. L. Garcês & Cesaltina Pacheco Pires, 2011. "New housing supply: what do we know and how can we learn more?," CEFAGE-UE Working Papers 2011_18, University of Evora, CEFAGE-UE (Portugal).
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