Estimation of a Weights Matrix for Determining Spatial Effects

Lima, Elcyon Caiado Rocha; Macedo, Paulo Brígido Rocha

doi:10.2139/ssrn.192413

Cited by 3 publications

(1 citation statement)

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“…(2005) use spatial regression techniques to show that population density negatively affects, but population growth positively affects, the area devoted to upland crop production in Nang Rong district, Thailand. Lima and Macedo (1999) consider endogenising the spatial weights matrix in a housing‐market study in Brazil. Morenhoff (2003) considers birth‐weight effects in a large cross‐section of Chicagoan suburbs.…”

Section: Housing the Economics Of Real Estate And The Rural‐urbanmentioning

confidence: 99%

Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling

Holloway

Lacombe²,

LeSage³

2007

J Agricultural Economics

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We survey the literature on spatial bio-economic and land-use modelling and assess its thematic development. Unobserved site-specific heterogeneity is a feature of almost all the surveyed works, and this feature, it seems, has stimulated significant methodological innovation. In an attempt to improve the suitability with which the prototype incorporates heterogeneity, we consider modelling alternatives and extensions. We discuss solutions and conjecture others. Copyright 2007 The Agricultural Economics Society.

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Section: Housing the Economics Of Real Estate And The Rural‐urbanmentioning

confidence: 99%

Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling

Holloway

Lacombe²,

LeSage³

2007

J Agricultural Economics

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Political interaction in the senate: estimating a political “spatial” weights matrix and an application to lobbying behavior

Chupp

2013

Public Choice

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Model Boosting for Spatial Weighting Matrix Selection in Spatial Lag Models

Kostov

2010

Environ Plann B Plann Des

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Kostov, Phillip (2010) Model boosting for spatial weighting matrix selection in spatial lag models. Environment and Planning B: Planning and Design, 37 (3). pp. 533 549. ISSN 0265 8135 It is advisable to refer to the publisher's version if you intend to cite from the work. [Kostov, 2010]. This is a postprint of a research article. The definitive, peer-reviewed and edited version of this article is published in Environment and Planning B: Planning and Design, volume 37, issue 3, pages 533-549, 2010, http://dx.doi.org/10.1068/b35137 1 Model boosting for spatial weighting matrix selection in spatial lag models Philip Kostov Lancashire Business School University of Central Lancashire AbstractThe spatial lag specification is often used in spatial econometrics. The choice of an appropriate spatial weighting matrix is an important outstanding methodological problem in the quantitative spatial dependence literature. This paper proposes applying a componentwise model boosting algorithm to deal with the issue of the choice of a spatial weighting matrix amongst a predetermined set of alternatives. The resulting procedure is computationally simple and easy to implement. We present an empirical application of the proposed methodology. Some possible extensions to a more general setting are discussed.

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Estimation of a Weights Matrix for Determining Spatial Effects

Cited by 3 publications

References 8 publications

Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling

Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling

Political interaction in the senate: estimating a political “spatial” weights matrix and an application to lobbying behavior

Model Boosting for Spatial Weighting Matrix Selection in Spatial Lag Models

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