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Add Class for Repeated Cross-Sectional Data #330
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306 refactor data generators
Jan teichert kluge/issue272
Update DoubleML __str__ method
…ldata-class' into s-update-cross-sectional-did
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thanks for adding the repeated CS case for DiD (among the other features like universal period configurations and anticipation periods in plots) in this PR. I have added some edits in #345 which you may want to check out - but they are not really critical
We can then take care of DoubleML/doubleml-docs#243 for adding some documentation
Adds a analog to
DoubleMLDIDMulti
for repeated cross-sectional data.The changes include:
make_did_cs_CS2021
data generatorDoubleMLDIDCSBinary
classDoubleMLDIDMulti
class to support repeated cross-sectionsplot_effects()
method to color anticipation periodsgt_combinations="universal"
option toDoubleMLDIDMulti
Further, generalize the
__str__
method in theDoubleML
class to allow for flexible output, e.g. seeDoubleMLBinary
.Reference to Issues or PRs
See #317
Universal option #339
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