Regression Modeling for Vertical and Horizontal Property Tax Inequity

John Birch and Mark Sunderman

Journal of Housing Research, 2014, vol. 23, issue 1, 89-104

Abstract: Early property tax regression models were used to estimate vertical inequity across assessment districts. By their nature, these models contain measurement error bias. Clapp (1990) used an instrumental variable to overcome this problem. However, there remains the possibility of omitted variable (OV) bias. Addition of variables for neighborhood inequity provides critical information at the local level. It also overcomes possible OV bias in estimates for district vertical inequity. An extended model is developed and illustrated. Conditions are given for significant district OV bias. The methodology is broadly applicable to linear models when there is measurement error in the independent variable.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.2013.12092083 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rjrhxx:v:23:y:2014:i:1:p:89-104

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjrh20

DOI: 10.1080/10835547.2013.12092083

Access Statistics for this article

Journal of Housing Research is currently edited by Kimberly Goodwin

More articles in Journal of Housing Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().