Nils Gudat

Just came across this slightly puzzling issue: ``` using TableView, DataFrames showtable(DataFrame(a = 0.0, b = "t\xe9st")) ``` This produces an empty output table, showing only the column header row...

Run the following in Juno: ``` using TableView, DataFrames showtable(rename!(DataFrame(a = rand(10), b = rand(10)), :b => Symbol("a.b"))) ``` This is on 0.6.0

This would mirror the display of DataFrames in the REPL/Juno inline

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Synthetic Differences-in-Differences

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Described in [Ben-Michael et al. (2021)](https://www.nber.org/system/files/working_papers/w28885/w28885.pdf)

Described in [Ben-Michael et al. (2021)](https://www.nber.org/system/files/working_papers/w28885/w28885.pdf)

This is the "original" version of synthetic controls, as described in [Abadie, Diamond, Hainmueller (2010)](https://economics.mit.edu/files/11859) This should be something like `ADHSCM(x::{SingleUnitTreatment, ContinuousTreatment})` at least initially, as the paper only deals...

This is the method described in [Abadie/L'Hour (2021)](https://economics.mit.edu/files/18642), code for which is available at https://github.com/jeremylhour/pensynth It deals with multiple treated units, so should be something like `PenalizedSCM(x::BalancedPanel{Union{MultiUnitSimultaneousTreatment, MultiUnitStaggeredTreatment}, T2} where...

Initial tests seem to indicate that using JuMP to solve the convex optimization problem can yield large speedups.

Add further data sets

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To add at a minimum: * Basque data * California smoking * German unification @azev77