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Cited by 501

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

MOSTLY POINTLESS SPATIAL ECONOMETRICS?*

Gibbons, Stephen, Overman, Henry G.·2012·Journal of Regional Science

Abstract

ABSTRACT We argue that identification problems bedevil applied spatial economic research. Spatial econometrics usually solves these problems by deriving estimators assuming that functional forms are known and by using model comparison techniques to let the data choose between competing specifications. We argue that in many situations of interest this achieves, at best, only very weak identification. Worse, in many cases, such an approach will be uninformative about the causal economic processes at work, rendering much applied spatial econometric research “pointless,” unless the main aim is description of the data. We advocate an alternative approach based on the “experimentalist paradigm” which puts issues of identification and causality at center stage.

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Research works printed but not linked: 50

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Metadata

Authors
Gibbons, S., & Overman, H. G.
Venue
Journal of Regional Science
Publisher
Wiley
Published
2012-04-17
Volume
52
Issue
2
Pages
172-191
ISSN
  • 0022-4146
  • 1467-9787
Cited by
501
References
11
Language
en

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.