14. Computer Assisted Mass Appraisal And The Property Tax

  1. William J. McCluskey3,
  2. Gary C. Cornia4 and
  3. Lawrence C. Walters5
  1. William J. McCluskey1,
  2. Peadar Davis2,
  3. Michael McCord2,
  4. David McIlhatton2 and
  5. Martin Haran2

Published Online: 1 NOV 2012

DOI: 10.1002/9781118454343.ch14

A Primer on Property Tax: Administration and Policy

A Primer on Property Tax: Administration and Policy

How to Cite

McCluskey, W. J., Davis, P., McCord, M., McIlhatton, D. and Haran, M. (2012) Computer Assisted Mass Appraisal And The Property Tax, in A Primer on Property Tax: Administration and Policy (eds W. J. McCluskey, G. C. Cornia and L. C. Walters), Blackwell Publishing Ltd, Oxford. doi: 10.1002/9781118454343.ch14

Editor Information

  1. 3

    Built Environment Research Institute, University of Ulster, UK

  2. 4

    Marriott School of Management, Brigham Young University, USA

  3. 5

    Romney Institute of Public Management, Brigham Young University, USA

Author Information

  1. 1

    Built Environment Research Institute, University of Ulster, UK

  2. 2

    University of Ulster, UK

Publication History

  1. Published Online: 1 NOV 2012
  2. Published Print: 16 NOV 2012

ISBN Information

Print ISBN: 9781405126496

Online ISBN: 9781118454343

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Keywords:

  • artificial neural network;
  • computer assisted mass appraisal (CAMA);
  • fuzzy rule-based system;
  • multiple regression analysis (MRA);
  • property tax;
  • rule based expert system

Summary

Mass appraisal or computer assisted mass appraisal (CAMA) are terms that tend to apply to the valuation of real property for property tax purposes. This chapter first provides a brief introduction to the concept of CAMA. Then, it offers a detailed review of the main concepts in CAMA. Next, the chapter examines the main CAMA techniques used, followed by a discussion on a multiple regression analysis (MRA) case study. It outlines some of the main modelling paradigms which have been developed in terms of the appraisal of property for property tax purposes. A number of studies report the use of advanced modelling techniques as part of the method used to model the influence of location. These methods include hierarchical and random coefficient models, models with spatially varying parameters and spatial autocorrelation models.

Controlled Vocabulary Terms

Property tax; Regression analysis