The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal

Detalhes bibliográficos
Autor(a) principal: Paulo, Rogerio Domingos
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/160219
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
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spelling The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in PortugalHedonic price modelHedonic functionImputation methodEffective rental priceImputed rental priceSDG 11 - Sustainable cities and communitiesDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsThe output of services of owner-occupied dwellings is valued at the estimated value of rental that a tenant would pay for the same accommodation, considering factors such as location, neighbourhood amenities, as well as the size and quality of the dwelling itself. Statistics Portugal Institute, in the context of the National Accounts, whenever the households own the dwelling they occupy, must estimate a market value for the rent of that dwelling (imputed rent) based on the rent of similar or even different dwellings that are rented (effective rent). This study uses the imputation hedonic price model with the objective of estimation of the actual housing rental price and the prices for own occupation housings. Because the dependent variable is income value in numerical intervals, the method used to estimate the hedonic function was Truncated Ordered Probit Model. The functional form used is log-linear and the model included interaction and square root variables and also includes the external variable which is coefficient of location. In terms of research methodology, this is a quantitative and applied study that uses descriptive methods based on bibliographic references and also uses a secondary source of data. The main database of the study is the general housing census conducted in Portugal in the year 2021.The study concluded that the imputation hedonic regression model recognizes that heterogeneous goods can be described by their attributes and location market. The estimation of imputed and effective rents is mainly used for harmonization purposes in determining the Gross National Income (GNI), which in turn plays a key role in the analysis and coordination of economic policies.Damásio, Bruno Miguel PintoTeixeira, Ângelo José LopesRUNPaulo, Rogerio Domingos2023-11-21T14:29:04Z2023-10-242023-10-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/160219TID:203390415enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:42:48Zoai:run.unl.pt:10362/160219Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:55.035272Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal
title The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal
spellingShingle The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal
Paulo, Rogerio Domingos
Hedonic price model
Hedonic function
Imputation method
Effective rental price
Imputed rental price
SDG 11 - Sustainable cities and communities
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal
title_full The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal
title_fullStr The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal
title_full_unstemmed The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal
title_sort The application of hedonic price models in the estimation of effective and imputed rents of housing: A case study on the 2021 housing census data in Portugal
author Paulo, Rogerio Domingos
author_facet Paulo, Rogerio Domingos
author_role author
dc.contributor.none.fl_str_mv Damásio, Bruno Miguel Pinto
Teixeira, Ângelo José Lopes
RUN
dc.contributor.author.fl_str_mv Paulo, Rogerio Domingos
dc.subject.por.fl_str_mv Hedonic price model
Hedonic function
Imputation method
Effective rental price
Imputed rental price
SDG 11 - Sustainable cities and communities
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Hedonic price model
Hedonic function
Imputation method
Effective rental price
Imputed rental price
SDG 11 - Sustainable cities and communities
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
publishDate 2023
dc.date.none.fl_str_mv 2023-11-21T14:29:04Z
2023-10-24
2023-10-24T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/160219
TID:203390415
url http://hdl.handle.net/10362/160219
identifier_str_mv TID:203390415
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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