Anselmo de Castro, Eduardo

Bhattacharjee, Arnab

Marques, Joao Lourenco

English

Spatial heterogeneity, spatial dependence and spatial scale constitute key features of spatial analysis of housing markets. However, the common practice of modelling spatial dependence as being generated by spatial interactions through a known spatial weights matrix is often not satisfactory. While existing estimators of spatial weights matrices are based on repeat sales or panel data, this paper takes this approach to a cross-section setting. Specifically, based on an a priori definition of housing submarkets and the assumption of a multifactor model, we develop maximum likelihood methodology to estimate hedonic models that facilitate understanding of both spatial heterogeneity and spatial interactions. The methodology, based on statistical orthogonal factor analysis, is applied to the urban housing market of Aveiro, Portugal at two different spatial scales

University of Dundee Online Publications

Dundee Discussion Papers in Economics 253:Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal

[1991]). The Production of Space.

A new approach to consumer theory.

A note of housing market segmentation in an Israeli development town. Urban Studies,

A simple general procedure for orthogonal rotation.

A survey of house price hedonic studies of the impact of environmental externalities.

Aggregation of space-time processes.

An angular version of spatial correlations, with exact significance tests.

An econometric analysis of residential amenity.

An econometric analysis of the housing market. NBER:

Analysis of spatial autocorrelation in house prices.

Anisotropic autocorrelation in house prices.

Cluster of firms on an inhomogeneous space: the case of high-tech manufacturing industries in

Cross-section regression with common shocks.

Detecting the existence of space–time clustering of firms. Regional Science and Urban Economics,

Dissecting Housing Value and Rent. The Urban Institute:

Do spatial effects really matter in regression analysis.

Economic perspectives on the structure of local housing systems.

Errors in variables and spatial effects in hedonic house price models of ambient air quality.

Estimating distance gradients for apartment properties.

Estimating the demand for air quality: new evidence based on the Chicago housing market.

Estimation and inference in large heterogenous panels with multifactor error structure.

Estimation of spatial weights matrix in a spatial error model, with an application to diffusion in housing demand.

Exceptionalism in geography: a methodological examination.

Exploring Spatial Data with GeoDaTM: A Workbook. https://www.geoda.uiuc.edu/pdf/geodaworkbook.pdf

Externalities, economic geography and spatial econometrics: conceptual and modeling developments.

Generating models by the expansion method: applications to geography research.

GeoDa: An Introduction to Spatial Data Analysis.

Hedonic prices and implicit markets: product differentiation pure competition.

Hedonic pricing models: a selective and applied review. Chapter 5,

House prices and accessibility: the testing of relationships within the Belfast urban area.

Housing Economics.

Lagrange Multiplier test diagnostics for spatial dependence and spatial heterogeneity.

Large panels with common factors and spatial correlation.

Local indicators of spatial association – LISA.

Maximum likelihood estimation of factor analysis using the ECME algorithm with complete and incomplete data.

Measuring the determinants of relative house prices.

Measuring the value of housing quality.

New hedonic estimates of regional constant quality housing prices.

Nonparametric methods for inference in the presence of instrumental variables.

Place, planning and economic policies: still missing links.

Property value models. Chapter 16, In:

Regression with missing x's: a review.

Semi-nonparametric IV estimation of shape-invariant Engel curves.

Simple regression based tests for spatial dependence. Bonn Economics Discussion Papers 23_2009,

Some thoughts on the nature and purpose of hedonic price functions.

Space and planning: some suggestions for positive theory and practice.

Spatial dependence and house price index construction.

Spatial dependence and spatial structural instability in applied regression analysis.

Spatial dependence in hedonic property models: do different corrections for spatial dependence result in economically significant difference in estimating implicit prices?.

Spatial econometrics and real estate.

Spatial Econometrics, Methods and Models.

Spatial econometrics. In: Baltagi,

Structural interactions in spatial panels.

Suggested Principles of &quot;Social Physics&quot;.

The demand for residence site characteristics.

The Dynamics of Neighborhood Change and Decline.

The economics of social housing. In:

The efficacy of hedonic estimation with the annual housing survey: evidence from the demand experiment.

The geography of housing values in the transformation to a market economy – a case study of Moscow.

The Maze of Urban Housing Markets: Theory, Evidence and Policy.

The Nature of Geography: A Critical Survey of Current Thought

The specification of hedonic indexes for urban housing.

Theoretical foundations and empirical developments in hedonic modeling. In:

Under the hood: issues in the specification and interpretation of spatial regression models.

Understanding interactions in social networks and committees.

Valuing access to water – a spatial hedonic approach, with an application to Bangalore,

Working Paper 1004, Centre for Dynamic Macroeconomic Analysis,

http://discovery.dundee.ac.uk/ws/files/1274137/DDPE_253.pdf

Dundee Discussion Papers in Economics 253:Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal

Abstract

Similar works

Full text

Available Versions

University of Dundee Online Publications

University of Dundee Online Publications