Computer Assisted Mass Appraisal And The Property Tax

William J. Mccluskey; Peadar Davis; Michael J. McCord; David Mcilhatton; Martin Haran

doi:10.1002/9781118454343.ch14

Computer Assisted Mass Appraisal And The Property Tax

William J. Mccluskey, Peadar Davis, Michael J. McCord, David Mcilhatton, Martin Haran

Ulster University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

6 Citations (Scopus)

Abstract

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 model

Original language	English
Title of host publication	A Primer on Property Tax: Administration and Policy
Publisher	Blackwell
Pages	307-338
Number of pages	32
ISBN (Electronic)	9781118454343
ISBN (Print)	9781405126496
DOIs	https://doi.org/10.1002/9781118454343.ch14
Publication status	Published - 1 Nov 2012
Externally published	Yes

Keywords

Artificial neural networks
Automated valuation models
CAMA
Geographically weighted regression
Horizontal and vertical equity
Mass appraisal
Multiple regression analysis
Performance standards

ASJC Scopus subject areas

Business, Management and Accounting(all)

Access to Document

10.1002/9781118454343.ch14

Cite this

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title = "Computer Assisted Mass Appraisal And The Property Tax",

abstract = "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 model",

keywords = "Artificial neural networks, Automated valuation models, CAMA, Geographically weighted regression, Horizontal and vertical equity, Mass appraisal, Multiple regression analysis, Performance standards",

author = "Mccluskey, {William J.} and Peadar Davis and McCord, {Michael J.} and David Mcilhatton and Martin Haran",

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AU - Davis, Peadar

AU - McCord, Michael J.

AU - Mcilhatton, David

AU - Haran, Martin

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N2 - 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 model

AB - 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 model

KW - Artificial neural networks

KW - Automated valuation models

KW - CAMA

KW - Geographically weighted regression

KW - Horizontal and vertical equity

KW - Mass appraisal

KW - Multiple regression analysis

KW - Performance standards

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DO - 10.1002/9781118454343.ch14

M3 - Chapter

AN - SCOPUS:84889451144

SN - 9781405126496

SP - 307

EP - 338

BT - A Primer on Property Tax: Administration and Policy

PB - Blackwell

ER -

Computer Assisted Mass Appraisal And The Property Tax

Abstract

Keywords

ASJC Scopus subject areas

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