2012
DOI: 10.4236/jfrm.2012.12002
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Structural Change Modeling of Singapore Private Housing Price in Simultaneous Equation Model

Abstract: This paper investigates the structural change behavior of Singapore's private housing market and in particular the impact of government policies on housing price determination. A structural model of price is established and the "Regressive Segmentation (RS)" method is applied to detect the changing points without prior knowledge of the structural changes. Our study shows that the changing points indicated by the RS method are consistent with the timing of the policy changes.

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Cited by 5 publications
(2 citation statements)
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“…A longitudinal design was carried out by evaluating the students at two different times, with a time interval of one-and-a-half to two months each (pre-test and post-test). In this study, the two measures of the dependent variables were taken from different groups: the groups that received the intervention and other similar groups, not created at random, that did not participate in this coaching process [ 32 ]. This type of group is called “non-equivalent” as it is not randomly formed [ 33 ].…”
Section: Methodsmentioning
confidence: 99%
“…A longitudinal design was carried out by evaluating the students at two different times, with a time interval of one-and-a-half to two months each (pre-test and post-test). In this study, the two measures of the dependent variables were taken from different groups: the groups that received the intervention and other similar groups, not created at random, that did not participate in this coaching process [ 32 ]. This type of group is called “non-equivalent” as it is not randomly formed [ 33 ].…”
Section: Methodsmentioning
confidence: 99%
“…They would next utilize SEM to evaluate their theory using information from test-takers intelligence scores. In SEM, the test items would represent the observable variables and intelligence of the latent variable (Zhang, 2022).…”
Section: Descriptivementioning
confidence: 99%