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Cited by 485

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Space Is More than Geography: Using Spatial Econometrics in the Study of Political Economy

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BECK, NATHANIEL, GLEDITSCH, KRISTIAN SKREDE, BEARDSLEY, KYLE·2006·International Studies Quarterly

Abstract

Although spatial econometrics is being used more frequently in political science, most applications are still based on geographic notions of distance. Here we argue that it is often more fruitful to consider political economy notions of distance, such as relative trade or common dyad membership. We also argue that the spatially autoregressive model usually (but not always) should be preferred to the spatially lagged error model. Finally, we consider the role of spatial econometrics in analyzing time-series–cross-section data, and show that a plausible (and testable) assumption allows for the simple introduction of space (however defined) into such analyses. We present examples of spatial analyses involving trade and democracy.

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Crossref · 10.1111/j.1468-2478.2006.00391.x

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Metadata

Authors
BECK, N., GLEDITSCH, K. S., & BEARDSLEY, K.
Venue
International Studies Quarterly
Published
2006-03
Volume
50
Issue
1
Pages
27-44
ISSN
  • 0020-8833 (ISSN-L)
  • 1468-2478
OpenAlex
W2100931892
Cited by
485
References
37
FWCI
46.99
Type
journal article
Language
en
Open access
bronze

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BECK, N., GLEDITSCH, K. S., & BEARDSLEY, K. (2006). Space Is More than Geography: Using Spatial Econometrics in the Study of Political Economy. International Studies Quarterly. https://doi.org/10.1111/j.1468-2478.2006.00391.x

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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.