Zobrazeno 1 - 10
of 37
pro vyhledávání: '"JUDE C. HAYS"'
Publikováno v:
American Political Science Review. 117:362-364
Publikováno v:
American Political Science Review. 117:59-79
Time-series cross-section (TSCS) data are prevalent in political science, yet many distinct challenges presented by TSCS data remain underaddressed. We focus on how dependence in both space and time complicates estimating either spatial or temporal d
Publikováno v:
Political Science Research and Methods. 8:92-105
Most agree that models of binary time-series-cross-sectional data in political science often possess unobserved unit-level heterogeneity. Despite this, there is no clear consensus on how best to account for these potential unit effects, with many of
Publikováno v:
The SAGE Handbook of Research Methods in Political Science and International Relations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190172004a375c0ba3c791fd2937064b
https://doi.org/10.4135/9781526486387.n42
https://doi.org/10.4135/9781526486387.n42
Publikováno v:
British Journal of Political Science. 48:903-928
This article uses a replication experiment of ninety-four specifications from sixteen different studies to show the severity of the problem of selection on unobservables. Using a variety of approaches, it shows that membership in the General Agreemen
Publikováno v:
Political Science Research and Methods. 4:151-173
Spatial/spatiotemporal interdependence—that is, that outcomes, actions or choices of some unit-times depend on those of other unit-times—is substantively important and empirically ubiquitous in binary outcomes of interest across the social scienc
Autor:
Jude C. Hays, José Antonio Cheibub
Publikováno v:
Political Science Research and Methods. 5:81-102
The view that multiparty elections in changing authoritarian regimes should be held sooner rather than later has been increasingly under attack. Critics argue that, under conditions of low institutional development, multiparty elections may lead to v
Publikováno v:
Political Analysis. 23:400-414
Duration data are often subject to various forms of censoring that require adaptations of the likelihood function to properly capture the data generating process, but existing spatial duration models do not yet account for these potential issues. Her
Autor:
Jude C. Hays, Michael Colaresi
Time and space are two dimensions that are likely to provide the paths—either singly or in tandem—by which international policy decisions are interdependent. There are several reasons to expect international relations processes to be interdepende
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dc4c41e7bcc1091cc8067299e49947d
https://doi.org/10.1093/acrefore/9780190846626.013.301
https://doi.org/10.1093/acrefore/9780190846626.013.301
Publikováno v:
Electoral Studies. 60:102038
Studies that focus on individual-level determinants of support for right-wing populist candidates and parties find little evidence that trade-induced economic hardship is important. By contrast, research that analyzes aggregate data often comes to th