The authors study how members of regional cabinets in Italy move between levels of government or leave politics, using an original dataset to test whether political‑institutional or personal factors shape those career trajectories. The study focuses on ordinary‑statute Italian regions and compares upward moves (to national or European posts), downward moves (to provincial or municipal offices) and exits from politics.
This paper asks how well states implement recommendations from temporary national truth commissions, focusing on 11 Latin American cases and using existing coded data to measure compliance. It contributes by applying a multilevel ordered logistic model to recommendation-level implementation data and assessing which recommendation types and contextual factors are associated with higher or lower compliance.
Logit models with small samples often have biased coefficient estimates, particularly away from zero. This article introduces Firth's penalized maximum likelihood (PML) estimator as a solution to this issue. While prior research highlighted PML for cases of separation, we demonstrate its broader benefit by showing it significantly reduces bias and variance in both small (50 observations) and larger samples.
Logit and probit (L/P) models are the standard tools for binary time-series cross-sectional (BTSCS) data, and researchers typically add cubic splines or time polynomials to capture temporal dynamics. However, L/P models struggle with three other temporal features that commonly arise in BTSCS data:
How does group deliberation affect political engagement?️ This question has long puzzled scholars and policymakers alike.️ The article examines this by analyzing data from multiple rounds of public deliberations in the United States, focusing on participants' shifts toward activism after discussion sessions.️ Using logistic regression models to track changes over time, it finds that while deliberation does increase awareness, its impact on actual participation is less direct and pronounced than previously thought※ Challenging assumptions about political mobilization through collective dialogue, the findings suggest a more complex relationship between discussion spaces and citizen action.
Sovereign default is framed here as a political decision rather than only an economic outcome. Prior research emphasizes economic causes, domestic constraints, or international reputation; this analysis shifts focus to who holds executive power. The core claim: leaders who assume office under irregular circumstances are more likely to trigger sovereign default.
This study explores how political parties select female candidates for parliamentary elections in proportional systems. It examines why some parties place women in viable list positions while others do not.
Governments face different incentives when they reorganize many administrative agencies simultaneously rather than making infrequent, case-by-case changes. This article develops a theory of mass administrative reorganizations that argues these events fundamentally differ from piecemeal reforms in their political dynamics.
Economic insecurity has made social welfare programs essential.
Does democracy protect all citizens from police violence? The answer is complex. This paper examines whether democratic institutions are less likely to use torture against three groups: political dissidents, criminals, and marginalized communities. Using the Ill-Treatment and Torture (ITT) Data, we analyze this question through logistic regressions with random effects.
Extended Party Networks, conceptualizing political parties as dynamic systems of interest groups collaborating to support candidates.
Dyadic data are widespread in the social sciences, but standard inference often breaks down because multiple dyads share members and therefore have correlated errors. This complex clustering structure is frequently ignored, producing unreliable standard errors and misleading conclusions.