- 06 Oct 2020
- Working Paper Summaries
Design and Analysis of Switchback Experiments
This paper presents a framework for managers to design and run switchback experiments.
- 06 Apr 2020
- Working Paper Summaries
A General Theory of Identification
Statistical inference teaches us how to learn from data, whereas identification analysis explains what we can learn from it. This paper proposes a simple unifying theory of identification, encouraging practitioners to spend more time thinking about what they can estimate from the data and assumptions before trying to estimate it.
Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models
A case study of an Italian supermarket introducing a new pricing policy—in which it reduced prices on some brands—offers managers a new approach to reduce uncertainty. The approach is flexible and can be applied to different business problems.