Causes of model infeasibility | Responses to an infeasible model | Specification of matching variables | Parameters for calculating weights | Calling on (computationally-intensive) back-up models

Introduction to Synthetic Controls | An example: Using microsynth to evaluate a Drug Market Intervention | Setting ID columns | Setting time parameters | Setting outcome variables and covariates and related parameters | An aside: advanced methods for setting matching variables | Other parameters that may be set | Basic estimation and plotting | Example 1: Barebones results | Example 2: Adding permutations and jackknife | Example 3: Model feasibility while matching on more variables | Example 4: Provide match.out as a list (time-aggregating matching variables) | Partial calls to microsynth | Example 5: Weights only | Example 6: Results only | Example 7: Plots only | Alternative applications for microsynth | Example 8: Apply microsynth in the traditional setting of Synth | Example 9: Cross-sectional data for propensity score-type weights | References

Declaring outcome variables as a vector or list | Interactions with other arguments