- Heterogeneity in probability perception: How does partisan media shape our view on crime?
• Short abstract: This paper examines how partisan media crime reporting influences individuals’ perceptions of neighborhood crime, with effects varying by political affiliation. The analysis relies on a novel dataset with detailed spatial controls, integrating Geographic Information System (GIS) tools and news transcripts analyzed by deep learning-based textual analysis. Additionally, the paper constructs an indicator of individuals’ propensity to consume partisan crime news, drawing on institutional features of the U.S. media landscape. To address endogeneity, it employs a spatial discontinuity design that leverages variation in media offerings across Designated Market Areas (DMAs) defined by U.S. broadcasting boundaries.
- Heterogeneity in probability perception and its effect on insurance decisions: How does partisanship affect our daily decisions?
• Pilot study funded by the DSRG (Doctoral Student Research Grant).
• Short abstract: I designed the experiment to analyze how voters’ perceptions of crime, influenced by partisan media, affect insurance decisions, leading to suboptimal deductible choices. The experiment also tests whether revealing this bias can correct decision-making and whether the correction is lasting.
- Productivity slowdown: How does heterogeneous news impact performance in diverse tasks?
• Pilot study funded by the DSRG (Doctoral Student Research Grant).
• Short abstract: I designed the experiment to analyze how exposure to different types of news content (positive, negative, neutral) affects workers’ productivity across various tasks and explores whether financial incentives or opposite news can reverse these effects.