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idid: Instrumented Difference-in-Differences

Leverage exogenous randomness in an exposure trend to estimate the average and conditional average treatment effect in the presence of unmeasured confounding.

To install the most up-to-date version, run the following command in R

library(devtools)
install_github("tye27/idid")

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Instrumented Difference-in-Differences

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