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Cited by 264

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

Dynamic Models in Space and Time

Open access
Elhorst, J. Paul·2001·Geographical Analysis

Abstract

This paper presents a first‐order autoregressive distributed lag model in both space and time. It is shown that this model encompasses a wide series of simpler models frequently used in the analysis of space‐time data as well as models that better fit the data and have never been used before. A framework is developed to determine which model is the most likely candidate to study space‐time data. As an application, the relationship between the labor force participation rate and the unemployment rate is estimated using regional data of Germany, France, and the United Kingdom derived from Eurostat, 1983–1993.

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Crossref · 10.1111/j.1538-4632.2001.tb00440.x

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Metadata

Authors
Elhorst, J. P.
Venue
Geographical Analysis
Publisher
Wiley
Published
2001-04
Volume
33
Issue
2
Pages
119-140
ISSN
  • 0016-7363 (ISSN-L)
  • 1538-4632
OpenAlex
W2150876088
Cited by
264
References
37
FWCI
20.58
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Dynamic Models in Space and Time. https://app.cochat.ai/papers/10.1111/j.1538-4632.2001.tb00440.x
The paper
Elhorst, J. P. (2001). Dynamic Models in Space and Time. Geographical Analysis. https://doi.org/10.1111/j.1538-4632.2001.tb00440.x

Data sources

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.