Sunday Methods Workshop (April 23)

Causal Inference and the Data-Fusion Problem
Elias Bareinboim, Purdue University
Judea Pearl, University of California, Los Angeles

Causal Inference in Statistics: A Gentle Introduction (slides)
Judea Pearl, University of California, Los Angeles

The Mathematics of Causal Inference
Judea Pearl, University of California, Los Angeles

The Causal Foundations of Structural Equation Modeling
Judea Pearl, University of California, Los Angeles
 

Monday Conference Session (April 24)

Causality in Econometric Pedagogy, 1953-2017
Chris Auld, University of Victoria

Measurement Error without Exclusion: the Returns to College Selectivity and Characteristics
Karim Chalak, University of Virginia
Daniel Kim, University of Pennsylvania

Understanding and Misunderstanding Randomized Controlled Trials
Angus Deaton, Princeton University
Nancy Cartwright, Durham University and University of California, San Diego

Causality Complexities Example: Supply and Demand
Ed Leamer, University of California, Los Angeles

The Eight Pillars of Causal Wisdom (Lecture Notes for the UCLA WCE conference, April 24, 2017)
Judea Pearl, University of California, Los Angeles

Transcript of Lecture
Judea Pearl, University of California, Los Angeles

Comments on Angrist and Pischke's Paper by Judea Pearl

On Model-Based vs Model-Blind Approaches to Artificial Intelligence
Adnan Darwiche, University of California, Los Angeles
 

Tuesday Conference Session (April 25)

Front-Door Difference-in-Differences Estimators
Adam Glynn
Konstantin Kashin

Philosophy of Science: Exploratory Research is More Reliable than Confirmatory Research
Clark Glymour