Property Assessments and Information Asymmetry in Residential Real Estate
Fathali Firoozi (),
Daniel R. Hollas (),
Ronald C. Rutherford () and
Thomas A. Thomson ()
Additional contact information Fathali Firoozi: Department of Economics, University of Texas at San Antonio, 6900 North Loop 1604 West, San Antonio, Texas, 78249-0633
Daniel R. Hollas: Department of Economics, University of Texas at San Antonio, 6900 North Loop 1604 West, San Antonio, Texas, 78249-0633
Ronald C. Rutherford: Department of Economics, University of Texas at San Antonio, 6900 North Loop 1604 West, San Antonio, Texas, 78249-0633
Thomas A. Thomson: Department of Economics, University of Texas at San Antonio, 6900 North Loop 1604 West, San Antonio, Texas, 78249-0633
Abstract:
This 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.
Ordering information: This journal article can be ordered from Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323 http://aux.zicklin.b ... u/jrer/about/get.htm
Journal of Real Estate Research is edited by Dr. Ko Wang
More articles in Journal of Real Estate Research from American Real Estate Society Address: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323 Series data maintained by JRER Graduate Assistant/Webmaster ().
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