137 research outputs found

    A model of housing tenure choice in Australia

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    This paper reports the results of an econometric analysis of housing tenure choice in Australia. The paper has several aims: (a) to determine the relative importance of the various economic and demographic determinants of die probability of home ownership in Australia; (b) to provide evidence relevant to the question whether Goodman (1988) incorrectly omits from his tenure choice model a measure of the user cost of owner-occupied housing, and (c) to serve as a basis for further studies of housing tenure choice and demand in Australia as well as possible comparative studies of ownership rates in Australia, the United States, and elsewhere.Australian Policy Online (APO)'s Linked Data II project, funded by the Australian Research Council, with partners at the ANU Library, Swinburne University and RMIT

    The rent gap debunked

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    Smith's rent gap theory of gentrification has inspired a substantial amount of critical attention as well as several empirical studies. None of these studies addresses a fundamental problem with the rent gap hypothesis - namely, its dependence on a distinction between actual and potential land rent that does not contribute to the explanation of changes in land use. And, contrary to some claims, there are no antecedents for the rent gap in the history of ideas about land economics - whether Marxian or neoclassical. It is concluded that the standard neoclassical concept ~of land use succession is more coherent than the rent gap concept. However, neither approach explains how neighbourhoods previously subject to disinvestment come to be perceived to have the potential for reinvestment and higher land rents

    Postmodernism in architecture and planning : what kind of style?

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    Is the phenomenon of postmodernism in architecture and planning a matter of superficial style, or does it represent something more fundamental? What kind of style is postmodernism, and what kind of style should postmodernism be? This paper offers answers to these questions by referring to a comprehensive theory of aesthetics as a basis for evaluating postmodernism. This theory is sketched out and then postmodernism is defined by comparison with modernism. A fundamental split within postmodernism is delineated; the postmodernism of reaction is characterized by empty formalism, while the postmodernism of resistance involves a critical appreciation of the various elements of local context. The theory of aesthetics, although only rudimentary, provides obvious support for the postmodernism of resistance, or critical regionalism

    Hedonic Prices and House Numbers: The Influence of Feng Shui

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    In contemporary practice, feng shui incorporates a wide range of concepts considered to affect a person’s luck. These include traditional ideas about site selection and building design, as well as newer beliefs about the “luckiness” of certain numbers. Focusing on an area with a relatively high percentage of Chinese households in Auckland, New Zealand, this paper uses hedonic price analysis to investigate whether house values are affected by lucky and unlucky numbers. Sales transactions for 1989 to 1996 are used in this analysis. The results demonstrate that lucky house numbers are capitalised into house values.Feng shui, hedonic price model, lucky, New Zealand

    Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods

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    This paper compares alternative methods for taking spatial dependence into account in house price prediction. We select hedonic methods that have been reported in the literature to perform relatively well in terms of ex-sample prediction accuracy. Because differences in performance may be due to differences in data, we compare the methods using a single data set. The estimation methods include simple OLS, a two-stage process incorporating nearest neighbors’ residuals in the second stage, geostatistical, and trend surface models. These models take into account submarkets by adding dummy variables or by estimating separate equations for each submarket. Based on data for approximately 13,000 transactions from Louisville, Kentucky, we conclude that a geostatistical model with disaggregated submarket variables performs best.

    Spatial Dependence, Housing Submarkets, and House Prices

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    This paper compares the impacts of alternative models of spatial dependence on the accuracy of house price predictions in a mass appraisal context. Explicit modeling of spatial dependence is characterized as a more fluid approach to defining housing submarkets. This approach allows the relevant “submarket” to vary from house to house and for transactions involving other dwellings in each submarket to have varying impacts depending on distance. We compare the predictive ability of different specifications of both geostatistical and lattice models as well as a simpler model based on submarkets with fixed boundaries. We conclude that – for our data – no spatial statistics method does as well in terms of predictive ability as a simple OLS model that includes a series of dummy variables defining submarkets. However, of the spatial statistics methods, geostatistical models provide more accurate predictions than lattice models. We argue that this is due to the fact that the kriging procedure used to make predictions in a geostatistical framework directly incorporates spatial information about nearby properties. That is not possible in a lattice framework due to the reliance on a matrix of weights that incorporates relationships only for the sample of properties that transact.spatial dependence; hedonic price models; geostatistical models; lattice models; mass appraisal; housing submarkets

    A Simple Alternative House Price Index Method

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    This paper presents the Sale Price Appraisal Ratio (SPAR) method for constructing house price indexes. The method, which uses ratios of transaction prices and previous appraised values to build up an index, has been applied since the early 1960s to produce semi-annual price indexes for regions and cities in New Zealand. We compare the official New Zealand indexes for three urban areas with repeat sales and hedonic indexes created from the same transactions data, and observe that the SPAR method produces an index very much like those produced by hedonic methods. Given the number of advantages and few disadvantages that we find for the SPAR method relative to the more traditional methods, we maintain that it should be considered by government agencies elsewhere when developing house price indexes.house price indexes

    What’s in a View?

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    The impact of views on property values has not been the specific focus of as much research as has the impact of other externalities on property values. When the impact of views is assessed, it is usually done by adding a single dummy variable to a hedonic regression equation. This paper provides a detailed literature review as well as an empirical analysis of the impact of a view on residential property values using a very rich database of nearly 5,000 sales in Auckland, New Zealand. Several dimensions of a view are analyzed: type of view, scope of view, distance to coast, appearance of immediately surrounding improvements, average quality of landscaping in the neighborhood, and average quality of structures in the neighborhood. It is found that wide views of water add an average of 59% to the value of a waterfront property, but that this effect diminishes quite rapidly as the distance from the coast increases. Attractive buildings in a property’s neighborhood on average add 37% to value relative to properties in neighborhoods with only average quality structures. Particularly attractive improvements in the immediate surroundings of a property add another 27% to value on average. On the other hand, properties in neighborhoods with only poor quality landscaping on average experience a -51% impact on price. Our results lead to the conclusion that aesthetic externalities are multi-dimensional and can have a substantial impact on residential property values.

    Land value taxation & housing development for three cities in Pennsylvania

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    This paper reviews theories about the economic effects of land value taxation as well as research which suggests hypotheses addressing the disparate circumstances of central cities such as Pittsburgh, suburban cities such as McKeesport, and relatively isolated cities such as New Castle. In order to test those hypotheses, specified a general econometric model of the housing market is specified. The model is adjusted to fit the circumstances of each city, and then the adjusted models using time-series data for each city is estimated. The periods of study for each city cover spans of time during which there were both increases in the tax rates applicable to land and decreases in the tax rates applicable to improvements. Incentive effects of decreases in the tax rate on buildings are expected to encourage housing development in Pittsburgh and, possibly, New Castle, but not in McKeesport. Liquidity effects of increases in the tax rate on land may encourage housing development in the three cities. All three cities employ land value taxation as an economic development tool and as a means for helping to stem or reverse the loss of population. By encouraging the construction of housing, land value taxation may help to attract households that would otherwise locate in other jurisdictions. Although Pittsburgh has had land value taxation since 1913 (Williams 1962), McKeesport and New Castle did not adopt such a tax system until 1979and1982, respectively

    Do Housing Submarkets Really Matter?

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    We maintain that the appropriate definition of submarkets depends on the use to which they will be put. For mass appraisal purposes, submarkets should be defined so that the accuracy of hedonic predictions will be optimized. Thus we test whether out-of-sample hedonic value predictions can be improved when a large urban housing market is divided into submarkets and we explore the effects of alternative definitions of submarkets on the accuracy of predictions. We compare a set of submarkets based on small geographical areas defined by real estate appraisers with a set of statistically generated submarkets consisting of dwellings that are similar but not necessarily contiguous. The empirical analysis uses a transactions database from Auckland, New Zealand. Price predictions are found to be most accurate when based on the housing market segmentation used by appraisers. We conclude that housing submarkets matter, and location plays the major role in explaining why they matter.Housing; Submarkets; Price Predictions; Mass Appraisal; Hedonic Method
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