ÊSTIMATE: The Reduced Form is a compact virtual workshop on more specific topics that is usually offered in the winter.
No Reduced Form workshops are open for registration.
Episode 1 was presented by Jeff Wooldridge in December 2021 aimed at researchers wanting to learn about recent methods in difference-in-differences estimation with panel data.
The specific learning objectives were:
- 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
Registration
Registration is now closed.
Course Fees
MSU students - $250 ($300 after June 1)
MSU faculty - $750 ($900 after June 1)
Non-MSU students and MSU Alumni - $500 ($600 after June 1)
General - $1,100 ($1,250 after June 1)
Group discounts are available when 5 or more people from the same organization register. For more information regarding this discount, please email estimate@econ.msu.edu.
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