NABE Education

Causal Inference: Methods & Applications

Build practical skills for identifying, estimating, and communicating causal effects.

This course offers an in-depth exploration of causal inference, focusing on the methodologies used to establish and analyze causal relationships across disciplines such as social sciences, health, and economics. Designed for professionals, this course empowers participants to employ rigorous techniques to derive insights from data.

Through a blend of lectures, hands-on workshops, and real-world case studies, attendees will develop the skills to conduct their own causal analyses, critically evaluate existing research, and effectively communicate their findings. By the end of the course, participants will be equipped to engage in evidence-based decision-making and contribute to impactful research.

Topics Covered

  • Potential Outcomes and Causal Estimands: Understanding the foundation of causal inference
  • Randomized Control Trials: Exploring the gold standard for establishing causality
  • Cross-Validation for Confidence Intervals: Ensuring robust statistical estimates
  • Stratified Random Sampling: Enhancing the precision of causal estimates
  • Variation in Treatment Effects Across Groups: Analyzing heterogeneous impacts
  • Instruments and Intention-to-Treat Parameters: Addressing confounding and biases
  • Local Average Treatment Effects: Estimating causal effects in specific subpopulations
  • Selection on Observables and Propensity Scores: Controlling for observed confounding
  • Propensity Score Reweighting: Adjusting for selection bias in observational studies
  • Matching with Explanatory Variables and Propensity Scores: Pairing similar subjects for comparative analysis
  • Difference-in-Differences: Evaluating treatment effects in non-randomized settings
  • Multi-Period Effects of Treatment: Analyzing causal effects over time
  • Bootstrap Construction of Confidence Intervals: Implementing resampling methods for robust inference
  • Synthetic Controls: Creating counterfactuals for causal analysis
  • Placebo Randomization Construction of Confidence Intervals: Validating causal claims

For more information, view the Course Table of Contents.

Stata statistical software will be used during the course, and complimentary trial versions of Stata are available to all participants.

Registration Details

Early-Bird Rates

NABE Member*: $1,400
U.S. Government Employee: $1,475
Non-Member*: $1,550

Early-Bird Deadline: October 1, 2026
Rates increase $100 after October 1. Rates increase an additional $175 after October 30. Registration closes after November 10, 2026.

*An additional $75 applies for shipment of materials outside the U.S.

Upcoming Offering

Live Online

Causal Inference: Methods & Applications
November 16 and November 18–20, 2026
1:00 PM–4:30 PM ET
Live Online

Early-Bird Deadline: October 1, 2026

Register + Learn More

For future offerings of NABE’s other Certified Business Economist programs, check the CBE calendar.