Estimate Reduced Form | Economics | Michigan State University

ÊSTIMATE: The Reduced Form is a compact virtual workshop on more specific topics that is usually offered in the winter.

The Reduced Form Workshop December 11-12, 2025, is now closed for registration. The course will run 10:00 AM to 4:00 PM EST on both days and be offered via Zoom.

Episode 1, presented by Jeff Wooldridge, is aimed at researchers wanting to learn about recent methods in difference-in-differences estimation with panel data.

The specific learning objectives are:

To understand the basic difference-in-differences methods for panel data, including the case of multiple periods before and after an intervention.
With staggered interventions, to learn the shortcomings of imposing strong restrictions on the pattern of treatment effects – as is done with the basic two-way fixed effects estimator – and how to relax these restrictions using familiar regression methods and more advanced methods using imputation and propensity score weighting.
To understand simple tests for violations of the parallel trend assumption, and how, in the context of flexible models, allow violation of those assumptions.
When using a limited dependent response variable (such as binary, fractional, or count), how to use flexible nonlinear methods.
To learn how Stata can be used to implement the various methods.

Workshop Topics:

Assumptions and Methods for Common Intervention Timing
Combining Regression Adjustment and Propensity Score Weighting
Staggered Interventions, Heterogeneous Treatment Effects, and Regression Adjustment
Imputation and Propensity Score Methods in the Staggered Case
Testing for Violations of Parallel Trends. Correcting for Heterogeneous Trends
Unbalanced Panels
Inference with Few Treated and/or Control Units
Nonlinear Difference-in-Differences
Estimation with Heterogeneous Trends
Non-binary Treatments

ÊSTIMATE: The Reduced Form

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