FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2262530032> ?p ?o ?g. }

• W2262530032 abstract "By splitting the spatial effects into building and neighborhood effects, this paper develops a two order spatio-temporal autoregressive model to deal with both the spatio-temporal autocorrelations and the heteroscedasticity problem arising from the nature of multi-unit residential real estate data. The empirical results based on 54,282 condominium transactions in Singapore between 1990 and 1999 show that in the multi-unit residential market, a two order spatio-temporal autoregressive model incorporates more spatial information into the model, thus outperforming the models originally developed in the market for single-family homes. This implies that the specification of a spatio-temporal model should consider the physical market structure as it affects the spatial process. It is found that the Bayesian estimation method can produce more robust coefficients by efficiently detecting and correcting heteroscedasticity, indicating that the Bayesian estimation method is more suitable for estimating a real estate hedonic model than the conventional OLS estimation. It is also found that there is a trade off between the heteroscedastic robustness and the incorporation of spatial information into the model estimation. The model is then used to construct building-specific price indices. The results show that the price indices for different condominiums and the buildings within a condominium do behave differently, especially when compared with the aggregate market indices. By splitting the spatial effects into building and neighborhood effects, this paper develops a two order spatio-temporal autoregressive model to deal with both the spatio-temporal autocorrelations and the heteroscedasticity problem arising from the nature of multi-unit residential real estate data. The empirical results based on 54,282 condominium transactions in Singapore between 1990 and 1999 show that in the multi-unit residential market, a two order spatio-temporal autoregressive model incorporates more spatial information into the model, thus outperforming the models originally developed in the market for single-family homes. This implies that the specification of a spatio-temporal model should consider the physical market structure as it affects the spatial process. It is found that the Bayesian estimation method can produce more robust coefficients by efficiently detecting and correcting heteroscedasticity, indicating that the Bayesian estimation method is more suitable for estimating a real estate hedonic model than the conventional OLS estimation. It is also found that there is a trade off between the heteroscedastic robustness and the incorporation of spatial information into the model estimation. The model is then used to construct building-specific price indices. The results show that the price indices for different condominiums and the buildings within a condominium do behave differently, especially when compared with the aggregate market indices." @default.
• W2262530032 created "2016-06-24" @default.
• W2262530032 creator A5000501079 @default.
• W2262530032 creator A5005007383 @default.
• W2262530032 creator A5016951190 @default.
• W2262530032 date "2005-01-14" @default.
• W2262530032 modified "2023-09-22" @default.
• W2262530032 title "A Spatio-temporal Autoregressive Model for Multi-unit Residential Market" @default.
• W2262530032 hasPublicationYear "2005" @default.
• W2262530032 type Work @default.
• W2262530032 sameAs 2262530032 @default.
• W2262530032 citedByCount "0" @default.
• W2262530032 crossrefType "posted-content" @default.
• W2262530032 hasAuthorship W2262530032A5000501079 @default.
• W2262530032 hasAuthorship W2262530032A5005007383 @default.
• W2262530032 hasAuthorship W2262530032A5016951190 @default.
• W2262530032 hasConcept C101104100 @default.
• W2262530032 hasConcept C10138342 @default.
• W2262530032 hasConcept C104317684 @default.
• W2262530032 hasConcept C105795698 @default.
• W2262530032 hasConcept C107673813 @default.
• W2262530032 hasConcept C149782125 @default.
• W2262530032 hasConcept C151406439 @default.
• W2262530032 hasConcept C159620131 @default.
• W2262530032 hasConcept C159877910 @default.
• W2262530032 hasConcept C162324750 @default.
• W2262530032 hasConcept C185592680 @default.
• W2262530032 hasConcept C194657046 @default.
• W2262530032 hasConcept C24338571 @default.
• W2262530032 hasConcept C2991739101 @default.
• W2262530032 hasConcept C30795276 @default.
• W2262530032 hasConcept C33923547 @default.
• W2262530032 hasConcept C41008148 @default.
• W2262530032 hasConcept C55493867 @default.
• W2262530032 hasConcept C63479239 @default.
• W2262530032 hasConcept C82279013 @default.
• W2262530032 hasConcept C97144632 @default.
• W2262530032 hasConceptScore W2262530032C101104100 @default.
• W2262530032 hasConceptScore W2262530032C10138342 @default.
• W2262530032 hasConceptScore W2262530032C104317684 @default.
• W2262530032 hasConceptScore W2262530032C105795698 @default.
• W2262530032 hasConceptScore W2262530032C107673813 @default.
• W2262530032 hasConceptScore W2262530032C149782125 @default.
• W2262530032 hasConceptScore W2262530032C151406439 @default.
• W2262530032 hasConceptScore W2262530032C159620131 @default.
• W2262530032 hasConceptScore W2262530032C159877910 @default.
• W2262530032 hasConceptScore W2262530032C162324750 @default.
• W2262530032 hasConceptScore W2262530032C185592680 @default.
• W2262530032 hasConceptScore W2262530032C194657046 @default.
• W2262530032 hasConceptScore W2262530032C24338571 @default.
• W2262530032 hasConceptScore W2262530032C2991739101 @default.
• W2262530032 hasConceptScore W2262530032C30795276 @default.
• W2262530032 hasConceptScore W2262530032C33923547 @default.
• W2262530032 hasConceptScore W2262530032C41008148 @default.
• W2262530032 hasConceptScore W2262530032C55493867 @default.
• W2262530032 hasConceptScore W2262530032C63479239 @default.
• W2262530032 hasConceptScore W2262530032C82279013 @default.
• W2262530032 hasConceptScore W2262530032C97144632 @default.
• W2262530032 hasLocation W22625300321 @default.
• W2262530032 hasOpenAccess W2262530032 @default.
• W2262530032 hasPrimaryLocation W22625300321 @default.
• W2262530032 hasRelatedWork W1501881061 @default.
• W2262530032 hasRelatedWork W1908936190 @default.
• W2262530032 hasRelatedWork W1991192745 @default.
• W2262530032 hasRelatedWork W1997538385 @default.
• W2262530032 hasRelatedWork W2007735853 @default.
• W2262530032 hasRelatedWork W2047079285 @default.
• W2262530032 hasRelatedWork W2058076827 @default.
• W2262530032 hasRelatedWork W2091921829 @default.
• W2262530032 hasRelatedWork W2100146297 @default.
• W2262530032 hasRelatedWork W2120587132 @default.
• W2262530032 hasRelatedWork W2130779593 @default.
• W2262530032 hasRelatedWork W2206525535 @default.
• W2262530032 hasRelatedWork W2266925404 @default.
• W2262530032 hasRelatedWork W2274492435 @default.
• W2262530032 hasRelatedWork W2526583983 @default.
• W2262530032 hasRelatedWork W2787936687 @default.
• W2262530032 hasRelatedWork W3121129623 @default.
• W2262530032 hasRelatedWork W3122834385 @default.
• W2262530032 hasRelatedWork W3177142528 @default.
• W2262530032 hasRelatedWork W3202368260 @default.
• W2262530032 isParatext "false" @default.
• W2262530032 isRetracted "false" @default.
• W2262530032 magId "2262530032" @default.
• W2262530032 workType "article" @default.