Models for forecasting residential property prices using paired comparisons

Models for forecasting residential property prices using paired comparisons

Residential real estate forecasting has become a part of the larger process of business planning and strategic management. Several studies of housing price trends recommend confining statistical analysis to repeated sales of residential property. This study presents an alternate methodology which co...

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Bibliographic Details
Main Author: Mpapela, Sinazo
Format: Others
Language:English
Published: Nelson Mandela Metropolitan University 2014
Subjects:
Paired comparisons (Statistics)
Statistics
Online Access:http://hdl.handle.net/10948/5839
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-nmmu-vital-210062017-12-21T04:22:32ZModels for forecasting residential property prices using paired comparisonsMpapela, SinazoPaired comparisons (Statistics)StatisticsResidential real estate forecasting has become a part of the larger process of business planning and strategic management. Several studies of housing price trends recommend confining statistical analysis to repeated sales of residential property. This study presents an alternate methodology which combines information only on repeated residential sales regardless of the changes that has been made in the house in-between the sales. Additive and multiplicative models were used to forecast the residential property prices in Nelson Mandela Metropole. Data was collected from various sources and was reconciled into one data set for analysis through a process of data screening.Nelson Mandela Metropolitan UniversityFaculty of Science2014ThesisMastersMScix, 112, 9 leavespdfhttp://hdl.handle.net/10948/5839vital:21006EnglishNelson Mandela Metropolitan University
collection NDLTD
language English
format Others
sources NDLTD
topic Paired comparisons (Statistics)
Statistics
spellingShingle Paired comparisons (Statistics)
Statistics
Mpapela, Sinazo
Models for forecasting residential property prices using paired comparisons
description Residential real estate forecasting has become a part of the larger process of business planning and strategic management. Several studies of housing price trends recommend confining statistical analysis to repeated sales of residential property. This study presents an alternate methodology which combines information only on repeated residential sales regardless of the changes that has been made in the house in-between the sales. Additive and multiplicative models were used to forecast the residential property prices in Nelson Mandela Metropole. Data was collected from various sources and was reconciled into one data set for analysis through a process of data screening.
author Mpapela, Sinazo
author_facet Mpapela, Sinazo
author_sort Mpapela, Sinazo
title Models for forecasting residential property prices using paired comparisons
title_short Models for forecasting residential property prices using paired comparisons
title_full Models for forecasting residential property prices using paired comparisons
title_fullStr Models for forecasting residential property prices using paired comparisons
title_full_unstemmed Models for forecasting residential property prices using paired comparisons
title_sort models for forecasting residential property prices using paired comparisons
publisher Nelson Mandela Metropolitan University
publishDate 2014
url http://hdl.handle.net/10948/5839
work_keys_str_mv AT mpapelasinazo modelsforforecastingresidentialpropertypricesusingpairedcomparisons
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