- Browse/Search the Program
Search
Browse By Day
Browse By Time
Browse By Person
Browse By Area
Browse By Session Type
- Information Menu
Search Tips
ASC Home
- Navigation and Settings Menu
Sign In
- Social Media Menu
Facebook
X (Twitter)
Causal Inference and Algorithmic Discovery for Criminology and Public Policy
Thu, Nov 14, 2:00 to 3:20pm, Nob Hill D - Lower B2 LevelSession Submission Type: Complete Thematic Panel
Abstract/Description
This panel brings together four papers describing innovative causal and algorithmic inference methods to investigate policy-related problems across diverse substantive domains.
Sub Unit
Individual Presentations
The Consequences of Person-Based Record Linking Methods on Empirical Results - Zubin Jelveh, University of Maryland; Robert Stewart, University of Maryland; Sarah Tahamont, University of Maryland
Mafia, Politics and Machine Predictions - Gian Maria Campedelli, Fondazione Bruno Kessler; Gianmarco Daniele, University of Milan / Bocconi University; Marco Le Moglie, Catholic University, Milan
Disparate Impact in Difference-In-Differences - Aurélie Ouss, University of Pennsylvania; Megan T. Stevenson, University of Virginia
The Challenges of Translating Odds Ratios into Legal Policy: A Cautionary Tale of Strangulation Laws and Homicide Prevention - Zubin Jelveh, University of Maryland; Xinyi Situ, University of Maryland, College Park