*FINAL REMINDER --- Applied Statistics Workshop TOMORROW (10/3) at 12 noon*
*Lunch provided --- All are welcome *
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Dear workshop community,
We will convene for the Applied Statistics Workshop (Gov 3009) next week on
Wednesday (10/3).
The speaker is* Naoki Egami* (Princeton), who will be presenting his paper
"Causal Diffusion Analysis with Stationarity: How Hate Crimes Diffuse
across Space" (paper link here
<https://scholar.princeton.edu/negami/publications/identification-causal-diffusion-effects-using-stationary-causal-directed-acyclic>).
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, October 3rd at 12 noon - 1:30 pm.
*Abstract:* Although social scientists have long been interested in the
process through which ideas and behavior diffuse, the identification of
causal diffusion effects, also known as peer effects, remains challenging.
Many scholars consider the commonly used assumption of no omitted
confounders to be untenable due to contextual confounding and homophily
bias. To address this long-standing identification problem, I introduce a
class of *stationary* causal directed acyclic graphs (DAGs), which
represent the time-invariant nonparametric causal structure. I first show
that this stationary causal DAG implies a new statistical test that can
detect a wide range of biases, including the two types mentioned above. The
proposed test allows researchers to empirically assess the contentious
assumption of no omitted confounders. In addition, I develop a
difference-in-difference style estimator that can directly correct biases
under an additional parametric assumption. Leveraging the proposed methods,
I study the spatial diffusion of hate crimes in Germany. After correcting
large upward bias in existing studies, I find hate crimes diffuse only to
areas that have a high proportion of school dropouts. To highlight the
general applicability of the proposed approach, I also analyze the network
diffusion of human rights norms. The proposed methodology is implemented in
a forthcoming open source software package.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-CU8HWrQPpe9pjTw/viewform?usp=sf_link>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
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