Download or read book Factors Affecting Spatial Autocorrelation in Housing Prices written by 羅奕宏 and published by . This book was released on 2012 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Exploring the Spatial Distribution and Influential Factors of Housing Price in High density Urban Environment written by Wenzheng Li and published by . This book was released on 2018 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using 16126 second-hand commercial housing samples collecting by web-crawl program in Beijing, China, this study develops traditional hedonic price model and spatial econometric models to quantitatively evaluate influential factors of housing prices in terms of housing structure, environmental and locational factors. Results show that locational factors, such as accessibility to subway, CBDs and schools, outperform other non-spatial factors as 6 locational variables explain 64% of variance. Most of housing structure variables have expected sign except floor position which manifests Beijing customers prefer middle floor. This finding does not agree with the evidence from southern Chinese cities where high floor charges higher price. We convince that this idiosyncrasy of Beijing reflects customers’ concern to safety during disasters such as earthquake and fire. Results also demonstrate customers’ desire to higher green ratio within community and closer distance to parks. We develop a feasible methodology for acquiring accurate NDVI in urban environment and test its validity in Beijing for the first time. We also demonstrate the existence of spatial error and spatial lag dependence in Beijing housing price using Lagrange Multiplier and successfully eliminate spatial dependence using spatial error (SEM) and spatial lag Model (SLM). The comparison of OLS and SEM suggests that OLS has overestimated the capitalization of housing structure and educational factors, whereas underestimated the effects of environmental, transportation and commute factors. The significant Rho (74.88%) in SLM model demonstrates the spatial spill-over effects caused by the interaction of nearby housing price and this effect is greater than other Chinese cities, such as Chengdu (Rho=19.2%) and Hangzhou (Rho=45.7%). This phenomenon can be partially explained by the potential speculation and booming of Beijing housing market. Key Words: web-crawl program; hedonic price model; spatial regression; spatial autocorrelation; spatial spill-over effect.
Download or read book Modeling Spatial Variations in Housing Prices written by Fei Long and published by . This book was released on 2006 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Geographically Weighted Regression written by A. Stewart Fotheringham and published by John Wiley & Sons. This book was released on 2003-02-21 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis. * Provides step-by-step examples of how to use the GWR model using data sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics * Contains a broad discussion of and basic concepts on GWR through to ideas on statistical inference for GWR models * uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).
Download or read book Econometric Advances in Spatial Modelling and Methodology written by Daniel A. Griffith and published by Springer. This book was released on 2013-10-25 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of models is not to fit the data but to sharpen the questions. S. Karlin, 11th R. A. Fisher Memorial Lecture, Royal Society, 20 April 1983 We are proud to offer this volume in honour of the remarkable career of the Father of Spatial Econometrics, Professor Jean Paelinck, presently of the Tinbergen Institute, Rotterdam. Not one to model solely for the sake of modelling, the above quotation nicely captures Professor Paelinck's unceasing quest for the best question for which an answer is needed. His FLEUR model has sharpened many spatial economics and spatial econometrics questions! Jean Paelinck, arguably, is the founder of modem spatial econometrics, penning the seminal introductory monograph on this topic, Spatial Econometrics, with Klaassen in 1979. In the General Address to the Dutch Statistical Association, on May 2, 1974, in Tilburg, "he coined the term [spatial econometrics] to designate a growing body of the regional science literature that dealt primarily with estimation and testing problems encountered in the implementation of multiregional econometric models" (Anselin, 1988, p. 7); he already had introduced this idea in his introductory report to the 1966 Annual Meeting of the Association de Science Regionale de Langue Fran~aise.
Download or read book Modelling Spatial Housing Markets written by Geoffrey Meen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial fixity is one of the characteristics that distinguishes housing from most other goods and services in the economy. In general, housing cannot be moved from one part of the country to another in response to shortages or excesses in particular areas. The modelling of housing markets and the interlinkages between markets at different spatial levels - international, national, regional and urban - are the main themes of this book. A second major theme is disaggregation, not only in terms of space, but also between households. The book argues that aggregate time-series models of housing markets of the type widely used in Britain and also in other countries in the past have become less relevant in a world of increasing income dispersion. Typically, aggregate relationships will break down, except under special conditions. We can no longer assume that traditional location or tenure patterns, for example, will continue in the future. The book has four main components. First, it discusses trends in housing markets both internationally and within nations. Second, the book develops theoretical housing models at each spatial scale, starting with national models, moving down to the regional level and, then, to urban models. Third, the book provides empirical estimates of the models and, finally, the models are used for policy analysis. Analysis ranges over a wide variety of topics, including explanations for differing international house price trends, the causes of housing cycles, the role of credit markets, regional housing market interactions and the role of housing in urban/suburban population drift.
Download or read book Advances in Automated Valuation Modeling written by Maurizio d'Amato and published by Springer. This book was released on 2017-01-28 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses several problems related to automated valuation methodologies (AVM). Following the non-agency mortgage crisis, it offers a variety of approaches to improve the efficiency and quality of an automated valuation methodology (AVM) dealing with emerging problems and different contexts. Spatial issue, evolution of AVM standards, multilevel models, fuzzy and rough set applications and quantitative methods to define comparables are just some of the topics discussed.
Download or read book Spatial Dependence Idiosyncratic Risk and the Valuation of Disaggregated Housing Data written by Prodosh Simlai and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate whether spatial idiosyncratic risk plays an important role in explaining average housing prices in a representative U.S. market. We discuss a parsimonious hedonic model of demand for differentiated products and derive an equilibrium price functions that depends on idiosyncratic risk, among other factors. Empirically, we use a nonlinear spatial regression model and identify a potential measure of idiosyncratic risk from sales data of individual residential properties in Ames, Iowa. The results show that, for our disaggregated housing data, there is a significant volatility interdependence among cross-sectional units because of geographical proximity. In our sample, a 1% increase in idiosyncratic risk, ceteris paribus, is associated with a 0.80% increase in average price of residential properties. We find that accounting for spatial autocorrelation and heteroskedasticity increases the evidence that idiosyncratic risk, which is captured by space-varying volatility, reveals important information about average housing prices. We conclude that using a spatial regression model that allows interaction between property prices and volatility yields strong predictive power.
Download or read book The Spatial Dimension of House Prices written by Yunlong Gong and published by . This book was released on 2017-04-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This research discovers the spatial regularities of house prices across Chinese prefecture cities in an economic common area and investigates the underlying formation process. It reveals an uneven distribution of house prices across cities, with those large and/or higher-tier cities and their neighbours having significantly higher house prices. Such an uneven pa����ern of house prices demonstrates the agglomeration spillovers in the interurban housing market. Two forms of spillovers are empirically examined. The first is the urban hierarchy distance effect, which is related to the position of a city in a hierarchical urban system. In general, the distance penalty of higher-tier urban centres is confirmed, that is, all else being equal, the further away a city is from the higher-tier city, the lower the house price. The second form of spillovers relates to a city's position in a city network system, in which no hierarchical structure is imposed. In such a situation, the spillovers arise from the interaction with neighbouring cities and it is found that a city that has larger neighbours tends to have higher house prices. These two forms of spillovers are somewhat correlated with each other because a higher-tier city is always associated with a larger urban size.
Download or read book Spatial Autocorrelation written by John Odland and published by SAGE Publications, Incorporated. This book was released on 1988-03 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autocorrelation occurs whenever a variable exhibits a regular pattern over space, when its values at a set of locations depend on values of the same variables at other locations.Odland introduces spatial autocorrelation to the reader in a concise and readable fashion, and describes the statistical p.
Download or read book Urban Morphology and Housing Market written by Yang Xiao and published by Springer. This book was released on 2016-11-21 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to fill the ‘urban economics niche’ and conceptualize a framework for valuing the urban configuration via local housing market. Advanced network analysis techniques are employed to capture the centrality features hindered in street layout. The author explores the several effects of urban morphology via housing market over two distinct contexts: UK and China. This work will appeal to a wide readership from scholars and practitioner to policy makers within the fields of real estate analysis, urban and regional studies, urban planning, urban design and economic geography.
Download or read book Economic Models of Tropical Deforestation A Review written by David Kaimowitz and published by CIFOR. This book was released on 1998-01-01 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Types of economic deforestation models. Household and firm-level models. Regional-level models. National and macro-level models. Priority areas for future research.
Download or read book Valuing the Built Environment written by Scott Orford and published by Routledge. This book was released on 2017-09-08 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book critically assesses the hedonic pricing technique as a method of imputing monetary values for the implicit attributes of housing. The hedonic technique is widely used, particularly in the US, but increasingly in Europe and Asia and has proved to yield important results and influence cost-benefit analysis. Scott Orford breaks new ground in this volume by exploring hedonic house price models within a geographical rather than purely economic context. He reevaluates the microeconomic theory of housing markets and concludes that only by treating housing market dynamics as inherently spatial can empirical results conform to the theory that underpins them. He also makes conclusions with respect to locational externalities, which have important implications as to how the built environment is valued.
Download or read book Anisotropic Autocorrelation in House Prices written by Kevin Gillen and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines anisotropic spatial autocorrelation in single-family house prices and in hedonic house price equation residuals using a spherical semivariogram and transactions data for one county in the Philadelphia, Pennsylvania MSA. Isotropic semivariograms model spatial relationships as a function of the distance separating properties in space. Anisotropic semivariograms model spatial relationships as a function of both the distance and the direction separating observations in space. The goals of this paper are: (1) to determine whether there is spatial autocorrelation in hedonic house price equation residuals; and (2) to empirically examine the validity of the isotropy assumption. We estimate the parameters of spherical semivariograms for house prices and for hedonic house price equation residuals for 21 housing submarkets within Montgomery County, Pennsylvania. These housing submarkets are constructed by dividing the county into 21 groupings of economically similar adjacent census tracts. Census tracts are grouped according to 1990 census tract median house prices and according to characteristics of the housing stock. We fit the residuals of each submarket hedonic house price equation to both isotropic and anisotropic sepherical semivariograms. We find evidence of spatial autocorrelation in the hedonic residuals in spite of a very elaborate hedonic specification. Additionally, we have determined that, in some submarkets, the spatial autocorrelation in the hedonic residuals is anisotropic rather than isotropic. The empirical results suggest that the spatial autocorrelation in Montgomery County single-family house price equation residuals is anisotropic in submarkets where residents typically commmute to a regional or local Central Businss District (CBD).
Download or read book Hedonic Methods in Housing Markets written by Andrea Baranzini and published by Springer Science & Business Media. This book was released on 2008-09-20 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cities are growing worldwide and their sprawl is increasingly challenged for its pressure on open spaces and environmental quality. Economic arguments can help to decide about the trade-off between preserving environmental quality and developing housing and business surfaces, provided the benefits of environmental quality are adequately quantified. To this end, this book focuses on the use and advancement of the “hedonic approach”, an economic valuation technique that analyses and quantifies the sources of rent and property price differentials. Starting from theoretical foundations, the hedonic approach is applied to the valuation of natural land use preservation and noise abatement measures, as well as to residential segregation and discrimination, extending the analysis to the role of the buyers and sellers' identity on housing market prices and to the issue of environmental justice.
Download or read book Geospatial Analysis and Modelling of Urban Structure and Dynamics written by Bin Jiang and published by Springer Science & Business Media. This book was released on 2010-06-16 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.
Download or read book Determinants of Spatial Variations in Housing Prices and House Price Changes written by Sue-Ching Jou and published by . This book was released on 1991 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
