Additive Hedonic Regression Models with Spatial Scaling Factors

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Publisher :
ISBN 13 :
Total Pages : 25 pages
Book Rating : 4.:/5 (551 download)

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Book Synopsis Additive Hedonic Regression Models with Spatial Scaling Factors by : Sven Bienert

Download or read book Additive Hedonic Regression Models with Spatial Scaling Factors written by Sven Bienert and published by . This book was released on 2008 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Additive Hedonic Regression Models with Spatial Scaling Factors

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Additive Hedonic Regression Models with Spatial Scaling Factors by : Wolfgang A. Brunauer

Download or read book Additive Hedonic Regression Models with Spatial Scaling Factors written by Wolfgang A. Brunauer and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper is motivated by two common challenges in hedonic price modeling: nonlinear price functions, which require flexible modeling approaches, and the inherent spatial heterogeneity in real estate markets. We apply additive mixed regression models (AMM) to estimate hedonic price equations for rents in Vienna. Non-linear effects of continuous covariates as well as a smooth time trend are modeled non-parametrically through P-splines. Unobserved district-specific heterogeneity is modeled in two ways: First, by location specific intercepts with the postal code serving as a location variable. Second, in order to permit spatial variation in the nonlinear price gradients, we introduce multiplicative scaling factors for nonlinear covariates. This allows highly nonlinear implicit price functions to vary within a regularized framework, accounting for district-specific spatial heterogeneity, which leads to a considerable improvement of model quality and predictive power. Our findings provide insight into the spatially heterogeneous structure of price gradients in Vienna, showing substantial spatial variation. Accounting for spatial heterogeneity in a very general way, this approach permits higher accuracy in prediction and allows for location-specific nonlinear rent index construction.

Computational Approaches for Urban Environments

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Publisher : Springer
ISBN 13 : 3319114697
Total Pages : 394 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Computational Approaches for Urban Environments by : Marco Helbich

Download or read book Computational Approaches for Urban Environments written by Marco Helbich and published by Springer. This book was released on 2015-01-22 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to promote the synergistic usage of advanced computational methodologies in close relationship to geospatial information across cities of different scales. A rich collection of chapters subsumes current research frontiers originating from disciplines such as geography, urban planning, computer science, statistics, geographic information science and remote sensing. The topics covered in the book are of interest to researchers, postgraduates, practitioners and professionals. The editors hope that the scientific outcome of this book will stimulate future urban-related international and interdisciplinary research, bringing us closer to the vision of a “new science of cities.”

Random Scaling Factors in Bayesian Distributional Regression Models with an Application to Real Estate Data

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (961 download)

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Book Synopsis Random Scaling Factors in Bayesian Distributional Regression Models with an Application to Real Estate Data by : Alexander Razen

Download or read book Random Scaling Factors in Bayesian Distributional Regression Models with an Application to Real Estate Data written by Alexander Razen and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributional structured additive regression provides a flexible framework for modeling each parameter of a potentially complex response distribution in dependence of covariates. Structured additive predictors allow for an additive decomposition of covariate effects with nonlinear effects and time trends, unit- or cluster- specific heterogeneity, spatial heterogeneity and complex interactions between co- variates of different type. Within this framework, we present a simultaneous estimation approach for multiplicative random effects that allow for cluster-specific heterogeneity with respect to the scaling of a covariate's effect. More specifically, a possibly nonlinear function f (z) of a covariate z may be scaled by a multiplicative cluster-specific random effect (1 + ac). Inference is fully Bayesian and is based on highly efficient Markov Chain Monte Carlo (MCMC) algorithms. We investigate the statistical properties of our approach within extensive simulation experiments for different response distributions. Furthermore, we apply the methodology to German real estate data where we identify significant district- specific scaling factors. According to the deviance information criterion, the models incorporating these factors perform significantly better than standard models with- out random scaling factors.

Issues in Housing and Real Estate: 2011 Edition

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Publisher : ScholarlyEditions
ISBN 13 : 1464968357
Total Pages : 84 pages
Book Rating : 4.4/5 (649 download)

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Book Synopsis Issues in Housing and Real Estate: 2011 Edition by :

Download or read book Issues in Housing and Real Estate: 2011 Edition written by and published by ScholarlyEditions. This book was released on 2012-01-09 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Housing and Real Estate / 2011 Edition is a ScholarlyBrief™ that delivers timely, authoritative, comprehensive, and specialized information about Housing and Real Estate in a concise format. The editors have built Issues in Housing and Real Estate: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Housing and Real Estate in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Housing and Real Estate: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Flexible Regression and Smoothing

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Publisher : CRC Press
ISBN 13 : 1351980378
Total Pages : 641 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Flexible Regression and Smoothing by : Mikis D. Stasinopoulos

Download or read book Flexible Regression and Smoothing written by Mikis D. Stasinopoulos and published by CRC Press. This book was released on 2017-04-21 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. In particular, the GAMLSS statistical framework enables flexible regression and smoothing models to be fitted to the data. The GAMLSS model assumes that the response variable has any parametric (continuous, discrete or mixed) distribution which might be heavy- or light-tailed, and positively or negatively skewed. In addition, all the parameters of the distribution (location, scale, shape) can be modelled as linear or smooth functions of explanatory variables. Key Features: Provides a broad overview of flexible regression and smoothing techniques to learn from data whilst also focusing on the practical application of methodology using GAMLSS software in R. Includes a comprehensive collection of real data examples, which reflect the range of problems addressed by GAMLSS models and provide a practical illustration of the process of using flexible GAMLSS models for statistical learning. R code integrated into the text for ease of understanding and replication. Supplemented by a website with code, data and extra materials. This book aims to help readers understand how to learn from data encountered in many fields. It will be useful for practitioners and researchers who wish to understand and use the GAMLSS models to learn from data and also for students who wish to learn GAMLSS through practical examples.

Hedonic Methods in Housing Markets

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Publisher : Springer Science & Business Media
ISBN 13 : 0387768157
Total Pages : 283 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Hedonic Methods in Housing Markets by : Andrea Baranzini

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.

Regression for Categorical Data

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Publisher : Cambridge University Press
ISBN 13 : 1139499580
Total Pages : 573 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Regression for Categorical Data by : Gerhard Tutz

Download or read book Regression for Categorical Data written by Gerhard Tutz and published by Cambridge University Press. This book was released on 2011-11-21 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accompanied by an R package that contains data sets and code for all the examples.

Geographically Weighted Regression

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Publisher : John Wiley & Sons
ISBN 13 : 0470855258
Total Pages : 282 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Geographically Weighted Regression by : A. Stewart Fotheringham

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).

Deep Generalized Additive Regression Models for Location, Scale and Shape Using TensorFlow

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (119 download)

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Book Synopsis Deep Generalized Additive Regression Models for Location, Scale and Shape Using TensorFlow by : Kang Yang

Download or read book Deep Generalized Additive Regression Models for Location, Scale and Shape Using TensorFlow written by Kang Yang and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spatial Data Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 3642217206
Total Pages : 85 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Spatial Data Analysis by : Manfred M. Fischer

Download or read book Spatial Data Analysis written by Manfred M. Fischer and published by Springer Science & Business Media. This book was released on 2011-08-05 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.

Econometric Models For Industrial Organization

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Publisher : World Scientific
ISBN 13 : 981310967X
Total Pages : 154 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Econometric Models For Industrial Organization by : Matthew Shum

Download or read book Econometric Models For Industrial Organization written by Matthew Shum and published by World Scientific. This book was released on 2016-12-14 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Models for Industrial Organization focuses on the specification and estimation of econometric models for research in industrial organization. In recent decades, empirical work in industrial organization has moved towards dynamic and equilibrium models, involving econometric methods which have features distinct from those used in other areas of applied economics. These lecture notes, aimed for a first or second-year PhD course, motivate and explain these econometric methods, starting from simple models and building to models with the complexity observed in typical research papers. The covered topics include discrete-choice demand analysis, models of dynamic behavior and dynamic games, multiple equilibria in entry games and partial identification, and auction models.

Handbook of Regional Science

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Publisher : Springer
ISBN 13 : 9783642234293
Total Pages : 0 pages
Book Rating : 4.2/5 (342 download)

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Book Synopsis Handbook of Regional Science by : Manfred M. Fischer

Download or read book Handbook of Regional Science written by Manfred M. Fischer and published by Springer. This book was released on 2013-09-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Regional Science is a multi-volume reference work providing a state-of-the-art knowledge on regional science composed by renowned scientists in the field. The Handbook is intended to serve the academic needs of graduate students, and junior and senior scientists in regional science and related fields, with an interest in studying local and regional socio-economic issues. The multi-volume handbook seeks to cover the field of regional science comprehensively, including areas such as regional housing and labor markets, regional economic growth, innovation and regional economic development, new and evolutionary economic geography, location and interaction, the environment and natural resources, spatial analysis and geo-computation as well as spatial statistics and econometrics.

Spatial Microeconometrics

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Publisher : Routledge
ISBN 13 : 1317563484
Total Pages : 251 pages
Book Rating : 4.3/5 (175 download)

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Book Synopsis Spatial Microeconometrics by : Giuseppe Arbia

Download or read book Spatial Microeconometrics written by Giuseppe Arbia and published by Routledge. This book was released on 2021-03-25 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. The book outlines the specificities of data that represent a set of interacting individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on how to perform their own analyses, describing in detail the codes which are necessary when using the statistical language R. The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.

Housing Economics and Public Policy

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Publisher : John Wiley & Sons
ISBN 13 : 0470680415
Total Pages : 352 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Housing Economics and Public Policy by : Anthony O'Sullivan

Download or read book Housing Economics and Public Policy written by Anthony O'Sullivan and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a timely assessment of 20 years of progress in the field of housing economics and its application to policy and practice. Two decades on from the publication of Duncan Maclennan's influential Housing Economics, 16 leading housing experts - both academics and policy makers from across the world - now honour Maclennan's contributions. The chapters here present a contemporary survey of key issues in housing, from urban housing markets and sub-market modelling, to the economics of social housing, the basis for housing planning, economic analysis of neighbourhoods, and the connections between academic work and policy development. For students, researchers and practitioners in housing, urban economics and social policy, Housing Economics and Public Policy: . provides up to date and comprehensive reviews of major areas of the housing economics literature . sheds light on the economic, social and spatial processes that affect housing . includes discussion of major areas of cutting edge housing economics research and identifies continuing gaps . presents a synthesis of housing economics research on both sides of the Atlantic . assesses the impact of theory on policy and practice

Introduction to Spatial Econometrics

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Publisher : CRC Press
ISBN 13 : 1420064258
Total Pages : 362 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Introduction to Spatial Econometrics by : James LeSage

Download or read book Introduction to Spatial Econometrics written by James LeSage and published by CRC Press. This book was released on 2009-01-20 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observat

Multiscale Geographically Weighted Regression

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Publisher : CRC Press
ISBN 13 : 1000989704
Total Pages : 195 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Multiscale Geographically Weighted Regression by : A. Stewart Fotheringham

Download or read book Multiscale Geographically Weighted Regression written by A. Stewart Fotheringham and published by CRC Press. This book was released on 2023-11-15 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale geographically weighted regression (MGWR) is an important method that is used across many disciplines for exploring spatial heterogeneity and modeling local spatial processes. This book introduces the concepts behind local spatial modeling and explains how to model heterogeneous spatial processes within a regression framework. It starts with the basic ideas and fundamentals of local spatial modeling followed by a detailed discussion of scale issues and statistical inference related to MGWR. A comprehensive guide to free, user-friendly, software for MGWR is provided, as well as an example of the application of MGWR to understand voting behavior in the 2020 US Presidential election. Multiscale Geographically Weighted Regression: Theory and Practice is the definitive guide to local regression modeling and the analysis of spatially varying processes, a very cutting-edge, hands-on, and innovative resource. Features Provides a balance between conceptual and technical introduction to local models Explains state-of-the-art spatial analysis technique for multiscale regression modeling Describes best practices and provides a detailed walkthrough of freely available software, through examples and comparisons with other common spatial data modeling techniques Includes a detailed case study to demonstrate methods and software Takes a new and exciting angle on local spatial modeling using MGWR, an innovation to the previous local modeling ‘bible’ GWR The book is ideal for senior undergraduate and graduate students in advanced spatial analysis and GIS courses taught in any spatial science discipline as well as for researchers, academics, and professionals who want to understand how location can affect human behavior through local regression modeling.