ÊSTIMATE: The Reduced Form

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, presented by Jeff Wooldridge in December 2021, was 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 five or more people from the same organization register. For more information regarding this discount, please email estimate@econ.msu.edu.

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