Contracting in space: An application of spatial statistics to discrete-choice models

Joris Pinkse, Margaret E. Slade

Research output: Contribution to journalArticle

158 Citations (Scopus)

Abstract

We develop tests for spatial-error correlation and methods of estimation in the presence of such correlation for discrete-choice models. The tests, which are based on the notion of a generalized residual, are a set of orthogonality conditions that should be satisfied under the null. When the restrictions are rejected, the full model can be estimated by generalized method of moments. These techniques are used to evaluate spatial patterns in retail-gasoline contracts. We examine whether the spatial configuration is random or whether there is a tendency towards clustering or dispersion of contract types. The data consist of all contracts between integrated oil companies and their branded service stations in the city of Vancouver. Six metrics or measures of closeness are examined: Euclidean distance, competition along streets, a combination of the first two, nearest neighbors along streets, nearest neighbors in Euclidean distance, and neighbors that share a common market boundary.

Original languageEnglish (US)
Pages (from-to)125-154
Number of pages30
JournalJournal of Econometrics
Volume85
Issue number1
DOIs
StatePublished - Jul 1998

Fingerprint

Discrete choice models
Contracting
Spatial statistics
Euclidean distance
Nearest neighbor
Integrated
Clustering
Retail
Oil
Generalized method of moments
Closeness

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Cite this

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Contracting in space : An application of spatial statistics to discrete-choice models. / Pinkse, Joris; Slade, Margaret E.

In: Journal of Econometrics, Vol. 85, No. 1, 07.1998, p. 125-154.

Research output: Contribution to journalArticle

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