The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
T IME-S ERIES–C ROSS-S ECTION D ATA: What Have We Learned in the Past Few Years?
Abstract
▪ Abstract This article treats the analysis of “time-series–cross-section” (TSCS) data, which has become popular in the empirical analysis of comparative politics and international relations (IR). Such data consist of repeated observations on a series of fixed (nonsampled) units, where the units are of interest in themselves. An example of TSCS data is the post–World War II annual observations on the political economy of OECD nations. TSCS data are also becoming more common in IR studies that use the “dyad-year” design; such data are often complicated by a binary dependent variable (the presence or absence of dyadic conflict). Among the issues considered here are estimation and specification. I argue that treating TSCS issues as an estimation nuisance is old-fashioned; those wishing to pursue this approach should use ordinary least squares with panel correct standard errors rather than generalized least squares. A modern approach models dynamics via a lagged dependent variable or a single equation error correction model. Other modern issues involve the modeling of spatial impacts (geography) and heterogeneity. The binary dependent variable common in IR can be handled by treating the TSCS data as event history data.
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Citations
Cites
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Self-citation
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Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
The collective dynamics of smoking in a large social network
Christakis, N. A., & Fowler, J. H. (2008) · New England Journal of Medicine · doi:10.1056/nejmsa0706154 · Cited by 2,390
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Voter Turnout and the Dynamics of Electoral Competition in Established Democracies since 1945
Franklin, M. N., Eijk, C. V. D., Evans, D., Fotos, M., Hirczy de Mino, W., Marsh, M., & Wessels, B. (2004) · doi:10.1017/cbo9780511616884 · Cited by 1,421
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Metadata
- Authors
- Beck, N.
- Venue
- Annual Review of Political Science
- Publisher
- Annual Reviews
- Published
- 2001-06
- Volume
- 4
- Issue
- 1
- Pages
- 271-293
- ISSN
- 1094-2939 (ISSN-L)
- 1545-1577
- OpenAlex
- W2169378432
- Cited by
- 916
- References
- 51
- FWCI
- 12.60
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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