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Janet M. Box-Steffensmeier Dataverse (Ohio State University)
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1 to 10 of 16 Results
Jan 5, 2016
Box-Steffensmeier, Janet; Charles P. Campisano; Matthew P. Hitt; Kevin M. Scott, 2016, "Replication Data for: Advising, Consenting, Delaying, and Expediting: Senator Influences on Presidential Appointments", doi:10.7910/DVN/U7GIBB, Harvard Dataverse, V1, UNF:6:uo8Q+plZ7O/9Zb8hy7+p/w==
Replication data files and code for Advising, Consenting, Delaying, and Expediting: Senator Influences on Presidential Appointments, published in Studies in American Political Development. If you use these data, please cite the original paper in SAPD.
Jul 14, 2013
Box-Steffensmeier, Janet M.; Christenson, Dino P.; Hitt, Matthew P., 2013, "Quality Over Quantity: Amici Influence and Judicial Decision Making", hdl:1902.1/21825, Harvard Dataverse, V1, UNF:5:Wmpr6DfxSEztFS5w0CLpcw==
Replication dataset (STATA 12 format) and code for Box-Steffensmeier, Christenson, and Hitt 2013, Quality Over Quantity: Amici Influence and Judicial Decision Making. Volume 107 Issue 3, American Political Science Review.
Mar 22, 2013
Janet Box-Steffensmeier, 2013, "Replication data for: A Dynamic Labor Market: How Political Science is Opening Up to Methodologists, and How Methodologists are Opening Up Political Science", hdl:1902.1/20651, Harvard Dataverse, V1
Jul 7, 2012
Janet M. Box-Steffensmeier; Matthew Lebo, 2011, "Replication data for: Dynamic Conditional Correlations in Political Science", hdl:1902.1/15582, Harvard Dataverse, V3
Time-varying relationships and volatility are two methodological challenges that are particular to the field of time series. In the case of the former, more comprehensive understanding can emerge when we ask under what circumstances relationships may change. The impact of context...
Feb 23, 2012
Janet Box-Steffensmeier; Christopher Zorn, 2007, "Replication data for: Duration Models for Repeated Events", hdl:1902.1/10357, Harvard Dataverse, V3, UNF:5:NyUnfsS+euaZUwiPKa4U4w==
An important feature of most political events is their repeatability: nearly all political events reoccur, and theories of learning, path dependence, and institutional change all suggest that later events will differ from earlier ones. Yet, most models of event history analysis f...
Oct 11, 2011
Janet M. Box-Steffensmeier; Renée M. Smith; Corwin Smidt; Brandon Bartels, 2011, "Replication data for: The Dynamic Properties of Individual-Level Party Identification in the United States", hdl:1902.1/16868, Harvard Dataverse, V1, UNF:5:WXje/zCs7rLY2cAfq6TVmA==
Central to traditionalist and revisionist perspectives of individual-level party identification is a debate about the stability of party identification. We revisit the debate about the dynamic properties and processes underlying party identification. We present a conceptual frame...
Feb 23, 2011
Janet M. Box-Steffensmeier; David Darmofal; Christian Andrew Farrell, 2011, "Replication data for: The Aggregate Dynamics of Campaigns", hdl:1902.1/15584, Harvard Dataverse, V1, UNF:5:mgh/Eugj6kqaXRN953kmXw==
Daily interactions between partisan elites, the media, and citizens are the driving dynamic of election campaigns and the central determinant of their outcomes. Accordingly, we develop a theory of campaign dynamics that departs from previous top-down models of campaign effects in...
Feb 23, 2011
Janet M. Box-Steffensmeier; Kathleen Knight; Lee Sigelman, 2011, "Replication data for: The Interplay of Partisanship and Ideology: A Time-Series Analysis", hdl:1902.1/15583, Harvard Dataverse, V1
Considerable research focuses on explaining trends in party identification in the American public. Somewhat less attention has been devoted to trends in ideological identification, although such research has been on the increase. However, the potential relationship between macrop...
Feb 23, 2011
Janet M. Box-Steffensmeier; Tse-Min Lin, 2011, "Replication data for: A Dynamic Model of Campaign Spending in Congressional Elections", hdl:1902.1/15585, Harvard Dataverse, V1, UNF:5:sfJmstHZ3vatWNZdPfEyvw==
In contrast to conventional studies on campaign finance, which focus on the aggregate effect of money on the vote, we propose a more general dynamic model based on temporally disaggregated data. The model is supported by the substantive understanding that at different stages of t...
Feb 9, 2011
Janet M. Box-Steffensmeier; Suzanna De Boef, 2007, "Replication data for: Repeated Events Survival Models: The Conditional Frailty Model", hdl:1902.1/10360, Harvard Dataverse, V2, UNF:3:zyOlJBVkdWKZtwWCYl7rNA==
Repeated events processes are ubiquitous across a great range of important health, medical, and public policy applications, but models for these processes have serious limitations. Alternative estimators often produce different inferences concerning treatment effects due to bias...
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