How to Evaluate Policies Without Experiments: Synthetic Control, Matching, and Causal Impact Explained

Observational research methods—synthetic control, matching, and Causal Impact—offer powerful alternatives to randomized experiments, enabling businesses like Meituan to assess policy effects despite legal and operational constraints, with detailed principles, applications, advantages, limitations, and practical case studies illustrated throughout the guide.

causal inferencematching methodsobservational study

0 likes · 36 min read

How to Evaluate Policies Without Experiments: Synthetic Control, Matching, and Causal Impact Explained

Ctrip Technology

Jun 15, 2023 · Fundamentals

Causal Inference Theory and Its Business Applications in Ctrip Train Ticket Operations

This article introduces the fundamental concepts and theoretical frameworks of causal inference, explains Rubin's potential outcomes and Pearl's causal graph models, and demonstrates their practical deployment through uplift modeling, propensity‑score matching, synthetic control, and regression‑discontinuity case studies within Ctrip's train ticket business.

Business AnalyticsPropensity Score Matchingregression discontinuity

0 likes · 15 min read

Causal Inference Theory and Its Business Applications in Ctrip Train Ticket Operations