Module 2: Tackling Observational Data (pdf)
Module 2: Tackling Observational Data
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Module 2: Tackling Observational Data
DAGs, propensity scores, and difference-in-differences.
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- 0 Rating
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- 2 Students Enrolled
Courselet Content
1 components
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674.75 K |
Requirements
- Basic statistics and causal inference.
General Overview
Description
Observational data, causal graphs, matching, weighting, instrumental variables, and difference-in-differences.
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Meet the instructors !
About the Instructor
David Siang-Li Jheng is a PhD candidate at the Doctoral School of Cybernetics and Economic Statistics, Bucharest University of Economic Studies, Romania. His research focuses on detecting anomalies and modeling dependence structures in high-dimensional, high-frequency financial data.
With a background in financial engineering and mathematics from National Yang Ming Chiao Tung University (NYCU) and National Taiwan Normal University (NTNU), he investigates systemic risks through advanced methodologies such as Financial Risk Meters and anomaly detection models.