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REPRO-Bench / 17 /replication_package /code /analysis /treatment_effects /README.md
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README

This module produces model-free estimates of treatment effects.

/code/ contains the below files :

  • Beliefs.do (compares actual treatment effect with predicted treatment effect)

  • CommitmentResponse.do (plots how treatment effect differs by SMS addiction scale and other survey indicators)

  • FDRTable.do (estimates how treatment effect differs by SMS addiction scale and other indicators, adjusted for false-discovery rate. Also plots some descriptive statistics)

  • HabitFormation.do (compares actual and predicted usage)

  • Heterogeneity.do (plots heterogeneous treatment effects)

  • HeterogeneityInstrumental.do (plots heterogeneous treatment effects)

  • ModelHeterogeneity.R (generates other heterogeneity plots, some temptation plots)

  • SurveyValidation.do (plots effect of rewarding accurate usage prediction on usage prediction accuracy)

The script ModelHeterogeneity.R requires the dataset AnalysisUser.dta when calling the function get_opt(). This function computes the number of users who opted out of the limit functionality. Since this dataset contains PII, it has been omitted from this replication package. As such, the call to get_opt() (l.1396) has been commented out so it does not prevent the user from smoothly running this module.