5 papers
Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
Jiawei Fu, Donald P. Green
How should researchers conduct causal inference when the outcome of interest is latent and measured imperfectly by multiple indicators? We develop a general nonparametric framework…
The Illusion of Learning from Observational Data: An Empirical Bayes Perspective
Bohan Wu, Sebastian Salazar, Donald P. Green +1
Randomized experiments have long been the gold standard for scientists seeking to learn about cause and effect. When randomized experiments are infeasible, scientists often resort…
The Sequential Nature of Science: Quantifying Learning from a Sequence of Studies
Jonas M. Mikhaeil, Donald P. Green, David Blei
Scientific progress is inherently sequential: collective knowledge is updated as new studies enter the literature. We propose the sequential meta-analysis research trace (SMART), w…
Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
Jonas M. Mikhaeil, Donald P. Green
A growing statistical literature focuses on causal inference in the context of experiments where the target of inference is the average treatment effect in a finite population and…
Quantifying How Much Has Been Learned from a Research Study
Jonas M. Mikhaeil, Donald P. Green
How much does a research study contribute to a scientific literature? We propose a learning metric to quantify how much a research community learns from a given study. To do so, we…