diff-diff

User Guide

  • Getting Started
    • Installation
    • Basic 2x2 DiD
    • Using Formula Interface
    • Adding Covariates
    • Cluster-Robust Standard Errors
    • Two-Way Fixed Effects
    • Event Study Design
    • Staggered Adoption
    • Parallel Trends Testing
    • Sensitivity Analysis
    • Next Steps
  • Choosing an Estimator
    • Decision Flowchart
    • Quick Reference
    • Detailed Guidance
      • Basic 2x2 DiD
      • Two-Way Fixed Effects
      • Multi-Period Event Study
      • Callaway-Sant’Anna
      • Synthetic DiD
    • Common Pitfalls
    • Standard Error Methods
    • When in Doubt
  • Troubleshooting
    • Data Issues
      • “No treated observations found”
      • “Panel is unbalanced”
    • Estimation Errors
      • “Singular matrix” or “Matrix is singular”
      • “Bootstrap iterations failed” warning
    • Standard Error Issues
      • “Standard errors seem too small/large”
      • “Wild bootstrap takes too long”
    • Staggered Adoption Issues
      • “No never-treated units found”
      • “Group-time effects have large standard errors”
    • Visualization Issues
      • “Event study plot looks wrong”
      • “Plot doesn’t show in Jupyter”
    • Performance Issues
      • “Estimation is slow”
    • Getting Help
  • Comparison with R Packages
    • Overview
    • Package Correspondence
      • R did Package → diff-diff
      • R HonestDiD Package → diff-diff
      • R synthdid Package → diff-diff
    • Key Differences
      • Design Philosophy
      • Inference
      • Fixed Effects
      • Output Format
    • Feature Comparison Table
    • Migration Tips
  • Comparison with Python Packages
    • Overview
    • Package Summaries
      • pyfixest
      • differences
      • CausalPy
      • linearmodels
    • Why diff-diff?
    • Feature Comparison Table
    • Code Comparison
      • Basic DiD
      • Staggered DiD (Callaway-Sant’Anna)
      • Sensitivity Analysis
    • When to Use Each Package
  • Benchmarks: Validation Against R Packages
    • Overview
    • Methodology
      • Validation Approach
      • Tolerance Thresholds
    • Benchmark Results
      • Summary Table
      • Basic DiD Results
      • MultiPeriodDiD Results
      • Synthetic DiD Results
      • Callaway-Sant’Anna Results
    • Performance Comparison
      • Three-Way Performance Summary
      • Dataset Sizes
      • Key Observations
      • Performance Optimization Details
      • Why is diff-diff Fast?
    • Real-World Data Validation
      • MPDTA Dataset
      • Results Comparison
    • Reproducing Benchmarks
      • Prerequisites
      • Running Benchmarks
      • Output
    • Interpretation Notes
      • When to Trust Results
      • Known Differences
    • References

API Reference

  • API Reference
    • Estimators
      • diff_diff.DifferenceInDifferences
        • DifferenceInDifferences
      • diff_diff.TwoWayFixedEffects
        • TwoWayFixedEffects
      • diff_diff.MultiPeriodDiD
        • MultiPeriodDiD
      • diff_diff.SyntheticDiD
        • SyntheticDiD
      • diff_diff.CallawaySantAnna
        • CallawaySantAnna
      • diff_diff.SunAbraham
        • SunAbraham
      • diff_diff.ImputationDiD
        • ImputationDiD
      • diff_diff.StackedDiD
        • StackedDiD
      • diff_diff.TripleDifference
        • TripleDifference
      • diff_diff.TROP
        • TROP
    • Results Classes
      • diff_diff.DiDResults
        • DiDResults
      • diff_diff.MultiPeriodDiDResults
        • MultiPeriodDiDResults
      • diff_diff.SyntheticDiDResults
        • SyntheticDiDResults
      • diff_diff.PeriodEffect
        • PeriodEffect
      • diff_diff.CallawaySantAnnaResults
        • CallawaySantAnnaResults
      • diff_diff.CSBootstrapResults
        • CSBootstrapResults
      • diff_diff.GroupTimeEffect
        • GroupTimeEffect
      • diff_diff.SunAbrahamResults
        • SunAbrahamResults
      • diff_diff.SABootstrapResults
        • SABootstrapResults
      • diff_diff.ImputationDiDResults
        • ImputationDiDResults
      • diff_diff.ImputationBootstrapResults
        • ImputationBootstrapResults
      • diff_diff.TripleDifferenceResults
        • TripleDifferenceResults
      • diff_diff.StackedDiDResults
        • StackedDiDResults
      • diff_diff.trop.TROPResults
        • TROPResults
    • Visualization
      • diff_diff.plot_event_study
        • plot_event_study()
      • diff_diff.plot_group_effects
        • plot_group_effects()
      • diff_diff.plot_sensitivity
        • plot_sensitivity()
      • diff_diff.plot_honest_event_study
        • plot_honest_event_study()
      • diff_diff.plot_bacon
        • plot_bacon()
      • diff_diff.plot_power_curve
        • plot_power_curve()
      • diff_diff.plot_pretrends_power
        • plot_pretrends_power()
    • Diagnostics
      • diff_diff.run_placebo_test
        • run_placebo_test()
      • diff_diff.placebo_timing_test
        • placebo_timing_test()
      • diff_diff.placebo_group_test
        • placebo_group_test()
      • diff_diff.permutation_test
        • permutation_test()
      • diff_diff.leave_one_out_test
        • leave_one_out_test()
      • diff_diff.run_all_placebo_tests
        • run_all_placebo_tests()
      • diff_diff.PlaceboTestResults
        • PlaceboTestResults
    • Sensitivity Analysis
      • diff_diff.HonestDiD
        • HonestDiD
      • diff_diff.HonestDiDResults
        • HonestDiDResults
      • diff_diff.SensitivityResults
        • SensitivityResults
      • diff_diff.DeltaSD
        • DeltaSD
      • diff_diff.DeltaRM
        • DeltaRM
      • diff_diff.DeltaSDRM
        • DeltaSDRM
      • diff_diff.compute_honest_did
        • compute_honest_did()
      • diff_diff.sensitivity_plot
        • sensitivity_plot()
    • Parallel Trends Testing
      • diff_diff.check_parallel_trends
        • check_parallel_trends()
      • diff_diff.check_parallel_trends_robust
        • check_parallel_trends_robust()
      • diff_diff.equivalence_test_trends
        • equivalence_test_trends()
    • Bootstrap Inference
      • diff_diff.wild_bootstrap_se
        • wild_bootstrap_se()
      • diff_diff.WildBootstrapResults
        • WildBootstrapResults
    • Power Analysis
      • diff_diff.PowerAnalysis
        • PowerAnalysis
      • diff_diff.PowerResults
        • PowerResults
      • diff_diff.SimulationPowerResults
        • SimulationPowerResults
      • diff_diff.compute_power
        • compute_power()
      • diff_diff.compute_mde
        • compute_mde()
      • diff_diff.compute_sample_size
        • compute_sample_size()
      • diff_diff.simulate_power
        • simulate_power()
    • Pre-Trends Power Analysis
      • diff_diff.PreTrendsPower
        • PreTrendsPower
      • diff_diff.PreTrendsPowerResults
        • PreTrendsPowerResults
      • diff_diff.PreTrendsPowerCurve
        • PreTrendsPowerCurve
      • diff_diff.compute_pretrends_power
        • compute_pretrends_power()
      • diff_diff.compute_mdv
        • compute_mdv()
    • Data Preparation
      • diff_diff.generate_did_data
        • generate_did_data()
      • diff_diff.make_treatment_indicator
        • make_treatment_indicator()
      • diff_diff.make_post_indicator
        • make_post_indicator()
      • diff_diff.wide_to_long
        • wide_to_long()
      • diff_diff.balance_panel
        • balance_panel()
      • diff_diff.validate_did_data
        • validate_did_data()
      • diff_diff.summarize_did_data
        • summarize_did_data()
      • diff_diff.create_event_time
        • create_event_time()
      • diff_diff.aggregate_to_cohorts
        • aggregate_to_cohorts()
      • diff_diff.rank_control_units
        • rank_control_units()
    • Module Documentation
      • Estimators
        • DifferenceInDifferences
        • MultiPeriodDiD
        • TwoWayFixedEffects
        • SyntheticDiD
        • TripleDifference
      • Staggered Adoption
        • CallawaySantAnna
        • CallawaySantAnnaResults
        • GroupTimeEffect
        • SunAbraham
        • SunAbrahamResults
        • SABootstrapResults
      • Imputation DiD (Borusyak et al. 2024)
        • ImputationDiD
        • ImputationDiDResults
        • ImputationBootstrapResults
        • Convenience Function
        • Example Usage
      • Stacked Difference-in-Differences
        • StackedDiD
        • StackedDiDResults
        • Convenience Function
        • Example Usage
        • Comparison with Other Staggered Estimators
      • Triple Difference (DDD)
        • TripleDifference
        • TripleDifferenceResults
        • Convenience Function
        • Estimation Methods
        • Example Usage
      • Triply Robust Panel (TROP)
        • TROP
        • TROPResults
        • Convenience Function
        • Tuning Parameters
        • Estimation Methods
        • Example Usage
        • Comparison with Synthetic DiD
      • Results Classes
        • DiDResults
        • MultiPeriodDiDResults
        • PeriodEffect
        • SyntheticDiDResults
      • Visualization
        • plot_event_study
        • plot_group_effects
        • plot_sensitivity
        • plot_honest_event_study
      • Diagnostics
        • run_placebo_test
        • placebo_timing_test
        • placebo_group_test
        • permutation_test
        • leave_one_out_test
        • run_all_placebo_tests
        • PlaceboTestResults
      • Honest DiD
        • Overview
        • HonestDiD
        • HonestDiDResults
        • SensitivityResults
        • Restriction Classes
        • Convenience Functions
        • Complete Example
        • References
      • Power Analysis
        • Overview
        • PowerAnalysis
        • PowerResults
        • SimulationPowerResults
        • Convenience Functions
        • Complete Example
        • See Also
      • Pre-Trends Power Analysis
        • Overview
        • PreTrendsPower
        • PreTrendsPowerResults
        • PreTrendsPowerCurve
        • Convenience Functions
        • Violation Types
        • Complete Example
        • References
        • See Also
      • Utilities
        • Parallel Trends Testing
        • Wild Cluster Bootstrap
      • Data Preparation
        • Data Generation
        • Indicator Creation
        • Panel Data Utilities
        • Staggered Adoption Utilities
        • Data Validation
        • Control Unit Selection
  • Estimators
    • DifferenceInDifferences
      • DifferenceInDifferences
        • DifferenceInDifferences.results_
        • DifferenceInDifferences.is_fitted_
        • DifferenceInDifferences.__init__()
        • DifferenceInDifferences.fit()
        • DifferenceInDifferences.predict()
        • DifferenceInDifferences.get_params()
        • DifferenceInDifferences.set_params()
        • DifferenceInDifferences.summary()
        • DifferenceInDifferences.print_summary()
    • MultiPeriodDiD
      • MultiPeriodDiD
        • MultiPeriodDiD.results_
        • MultiPeriodDiD.is_fitted_
        • MultiPeriodDiD.fit()
        • MultiPeriodDiD.summary()
        • MultiPeriodDiD.__init__()
        • MultiPeriodDiD.get_params()
        • MultiPeriodDiD.predict()
        • MultiPeriodDiD.print_summary()
        • MultiPeriodDiD.set_params()
    • TwoWayFixedEffects
      • TwoWayFixedEffects
        • TwoWayFixedEffects.fit()
        • TwoWayFixedEffects.decompose()
        • TwoWayFixedEffects.__init__()
        • TwoWayFixedEffects.get_params()
        • TwoWayFixedEffects.predict()
        • TwoWayFixedEffects.print_summary()
        • TwoWayFixedEffects.set_params()
        • TwoWayFixedEffects.summary()
    • SyntheticDiD
      • SyntheticDiD
        • SyntheticDiD.results_
        • SyntheticDiD.is_fitted_
        • SyntheticDiD.__init__()
        • SyntheticDiD.fit()
        • SyntheticDiD.get_params()
        • SyntheticDiD.set_params()
        • SyntheticDiD.predict()
        • SyntheticDiD.print_summary()
        • SyntheticDiD.summary()
    • TripleDifference
      • TripleDifference
        • TripleDifference.results_
        • TripleDifference.is_fitted_
        • TripleDifference.__init__()
        • TripleDifference.results_
        • TripleDifference.fit()
        • TripleDifference.get_params()
        • TripleDifference.set_params()
        • TripleDifference.summary()
        • TripleDifference.print_summary()
      • TripleDifferenceResults
        • TripleDifferenceResults
      • Convenience Function
        • triple_difference()
  • Staggered Adoption
    • CallawaySantAnna
      • CallawaySantAnna
        • CallawaySantAnna.results_
        • CallawaySantAnna.is_fitted_
        • CallawaySantAnna.__init__()
        • CallawaySantAnna.anticipation
        • CallawaySantAnna.alpha
        • CallawaySantAnna.n_bootstrap
        • CallawaySantAnna.bootstrap_weight_type
        • CallawaySantAnna.seed
        • CallawaySantAnna.base_period
        • CallawaySantAnna.results_
        • CallawaySantAnna.fit()
        • CallawaySantAnna.get_params()
        • CallawaySantAnna.set_params()
        • CallawaySantAnna.summary()
        • CallawaySantAnna.print_summary()
    • CallawaySantAnnaResults
      • CallawaySantAnnaResults
        • CallawaySantAnnaResults.group_time_effects
        • CallawaySantAnnaResults.overall_att
        • CallawaySantAnnaResults.overall_se
        • CallawaySantAnnaResults.overall_p_value
        • CallawaySantAnnaResults.overall_conf_int
        • CallawaySantAnnaResults.groups
        • CallawaySantAnnaResults.time_periods
        • CallawaySantAnnaResults.n_obs
        • CallawaySantAnnaResults.n_treated_units
        • CallawaySantAnnaResults.n_control_units
        • CallawaySantAnnaResults.event_study_effects
        • CallawaySantAnnaResults.group_effects
        • CallawaySantAnnaResults.group_time_effects
        • CallawaySantAnnaResults.overall_att
        • CallawaySantAnnaResults.overall_se
        • CallawaySantAnnaResults.overall_t_stat
        • CallawaySantAnnaResults.overall_p_value
        • CallawaySantAnnaResults.overall_conf_int
        • CallawaySantAnnaResults.groups
        • CallawaySantAnnaResults.time_periods
        • CallawaySantAnnaResults.n_obs
        • CallawaySantAnnaResults.n_treated_units
        • CallawaySantAnnaResults.n_control_units
        • CallawaySantAnnaResults.alpha
        • CallawaySantAnnaResults.control_group
        • CallawaySantAnnaResults.base_period
        • CallawaySantAnnaResults.event_study_effects
        • CallawaySantAnnaResults.group_effects
        • CallawaySantAnnaResults.influence_functions
        • CallawaySantAnnaResults.bootstrap_results
        • CallawaySantAnnaResults.__repr__()
        • CallawaySantAnnaResults.summary()
        • CallawaySantAnnaResults.print_summary()
        • CallawaySantAnnaResults.to_dataframe()
        • CallawaySantAnnaResults.is_significant
        • CallawaySantAnnaResults.significance_stars
        • CallawaySantAnnaResults.__init__()
    • GroupTimeEffect
      • GroupTimeEffect
        • GroupTimeEffect.group
        • GroupTimeEffect.time
        • GroupTimeEffect.effect
        • GroupTimeEffect.se
        • GroupTimeEffect.n_treated
        • GroupTimeEffect.n_control
        • GroupTimeEffect.group
        • GroupTimeEffect.time
        • GroupTimeEffect.effect
        • GroupTimeEffect.se
        • GroupTimeEffect.t_stat
        • GroupTimeEffect.p_value
        • GroupTimeEffect.conf_int
        • GroupTimeEffect.n_treated
        • GroupTimeEffect.n_control
        • GroupTimeEffect.is_significant
        • GroupTimeEffect.significance_stars
        • GroupTimeEffect.__init__()
    • SunAbraham
      • SunAbraham
        • SunAbraham.results_
        • SunAbraham.is_fitted_
        • SunAbraham.__init__()
        • SunAbraham.results_
        • SunAbraham.fit()
        • SunAbraham.get_params()
        • SunAbraham.set_params()
        • SunAbraham.summary()
        • SunAbraham.print_summary()
    • SunAbrahamResults
      • SunAbrahamResults
        • SunAbrahamResults.event_study_effects
        • SunAbrahamResults.overall_att
        • SunAbrahamResults.overall_se
        • SunAbrahamResults.overall_t_stat
        • SunAbrahamResults.overall_p_value
        • SunAbrahamResults.overall_conf_int
        • SunAbrahamResults.cohort_weights
        • SunAbrahamResults.groups
        • SunAbrahamResults.time_periods
        • SunAbrahamResults.n_obs
        • SunAbrahamResults.n_treated_units
        • SunAbrahamResults.n_control_units
        • SunAbrahamResults.alpha
        • SunAbrahamResults.control_group
        • SunAbrahamResults.event_study_effects
        • SunAbrahamResults.overall_att
        • SunAbrahamResults.overall_se
        • SunAbrahamResults.overall_t_stat
        • SunAbrahamResults.overall_p_value
        • SunAbrahamResults.overall_conf_int
        • SunAbrahamResults.cohort_weights
        • SunAbrahamResults.groups
        • SunAbrahamResults.time_periods
        • SunAbrahamResults.n_obs
        • SunAbrahamResults.n_treated_units
        • SunAbrahamResults.n_control_units
        • SunAbrahamResults.alpha
        • SunAbrahamResults.control_group
        • SunAbrahamResults.bootstrap_results
        • SunAbrahamResults.cohort_effects
        • SunAbrahamResults.__repr__()
        • SunAbrahamResults.summary()
        • SunAbrahamResults.print_summary()
        • SunAbrahamResults.to_dataframe()
        • SunAbrahamResults.is_significant
        • SunAbrahamResults.significance_stars
        • SunAbrahamResults.__init__()
    • SABootstrapResults
      • SABootstrapResults
        • SABootstrapResults.n_bootstrap
        • SABootstrapResults.weight_type
        • SABootstrapResults.alpha
        • SABootstrapResults.overall_att_se
        • SABootstrapResults.overall_att_ci
        • SABootstrapResults.overall_att_p_value
        • SABootstrapResults.event_study_ses
        • SABootstrapResults.event_study_cis
        • SABootstrapResults.event_study_p_values
        • SABootstrapResults.bootstrap_distribution
        • SABootstrapResults.n_bootstrap
        • SABootstrapResults.weight_type
        • SABootstrapResults.alpha
        • SABootstrapResults.overall_att_se
        • SABootstrapResults.overall_att_ci
        • SABootstrapResults.overall_att_p_value
        • SABootstrapResults.event_study_ses
        • SABootstrapResults.event_study_cis
        • SABootstrapResults.event_study_p_values
        • SABootstrapResults.bootstrap_distribution
        • SABootstrapResults.__init__()
  • Results Classes
    • DiDResults
      • DiDResults
        • DiDResults.att
        • DiDResults.se
        • DiDResults.t_stat
        • DiDResults.p_value
        • DiDResults.conf_int
        • DiDResults.n_obs
        • DiDResults.n_treated
        • DiDResults.n_control
        • DiDResults.att
        • DiDResults.se
        • DiDResults.t_stat
        • DiDResults.p_value
        • DiDResults.conf_int
        • DiDResults.n_obs
        • DiDResults.n_treated
        • DiDResults.n_control
        • DiDResults.alpha
        • DiDResults.coefficients
        • DiDResults.vcov
        • DiDResults.residuals
        • DiDResults.fitted_values
        • DiDResults.r_squared
        • DiDResults.inference_method
        • DiDResults.n_bootstrap
        • DiDResults.n_clusters
        • DiDResults.bootstrap_distribution
        • DiDResults.__repr__()
        • DiDResults.summary()
        • DiDResults.print_summary()
        • DiDResults.to_dict()
        • DiDResults.to_dataframe()
        • DiDResults.is_significant
        • DiDResults.significance_stars
        • DiDResults.__init__()
    • MultiPeriodDiDResults
      • MultiPeriodDiDResults
        • MultiPeriodDiDResults.period_effects
        • MultiPeriodDiDResults.avg_att
        • MultiPeriodDiDResults.avg_se
        • MultiPeriodDiDResults.avg_t_stat
        • MultiPeriodDiDResults.avg_p_value
        • MultiPeriodDiDResults.avg_conf_int
        • MultiPeriodDiDResults.n_obs
        • MultiPeriodDiDResults.n_treated
        • MultiPeriodDiDResults.n_control
        • MultiPeriodDiDResults.pre_periods
        • MultiPeriodDiDResults.post_periods
        • MultiPeriodDiDResults.reference_period
        • MultiPeriodDiDResults.interaction_indices
        • MultiPeriodDiDResults.period_effects
        • MultiPeriodDiDResults.avg_att
        • MultiPeriodDiDResults.avg_se
        • MultiPeriodDiDResults.avg_t_stat
        • MultiPeriodDiDResults.avg_p_value
        • MultiPeriodDiDResults.avg_conf_int
        • MultiPeriodDiDResults.n_obs
        • MultiPeriodDiDResults.n_treated
        • MultiPeriodDiDResults.n_control
        • MultiPeriodDiDResults.pre_periods
        • MultiPeriodDiDResults.post_periods
        • MultiPeriodDiDResults.alpha
        • MultiPeriodDiDResults.coefficients
        • MultiPeriodDiDResults.vcov
        • MultiPeriodDiDResults.residuals
        • MultiPeriodDiDResults.fitted_values
        • MultiPeriodDiDResults.r_squared
        • MultiPeriodDiDResults.reference_period
        • MultiPeriodDiDResults.interaction_indices
        • MultiPeriodDiDResults.__repr__()
        • MultiPeriodDiDResults.pre_period_effects
        • MultiPeriodDiDResults.post_period_effects
        • MultiPeriodDiDResults.summary()
        • MultiPeriodDiDResults.print_summary()
        • MultiPeriodDiDResults.get_effect()
        • MultiPeriodDiDResults.to_dict()
        • MultiPeriodDiDResults.to_dataframe()
        • MultiPeriodDiDResults.is_significant
        • MultiPeriodDiDResults.significance_stars
        • MultiPeriodDiDResults.__init__()
    • PeriodEffect
      • PeriodEffect
        • PeriodEffect.period
        • PeriodEffect.effect
        • PeriodEffect.se
        • PeriodEffect.t_stat
        • PeriodEffect.p_value
        • PeriodEffect.conf_int
        • PeriodEffect.period
        • PeriodEffect.effect
        • PeriodEffect.se
        • PeriodEffect.t_stat
        • PeriodEffect.p_value
        • PeriodEffect.conf_int
        • PeriodEffect.__repr__()
        • PeriodEffect.is_significant
        • PeriodEffect.significance_stars
        • PeriodEffect.__init__()
    • SyntheticDiDResults
      • SyntheticDiDResults
        • SyntheticDiDResults.att
        • SyntheticDiDResults.se
        • SyntheticDiDResults.t_stat
        • SyntheticDiDResults.p_value
        • SyntheticDiDResults.conf_int
        • SyntheticDiDResults.n_obs
        • SyntheticDiDResults.n_treated
        • SyntheticDiDResults.n_control
        • SyntheticDiDResults.unit_weights
        • SyntheticDiDResults.time_weights
        • SyntheticDiDResults.pre_periods
        • SyntheticDiDResults.post_periods
        • SyntheticDiDResults.variance_method
        • SyntheticDiDResults.att
        • SyntheticDiDResults.se
        • SyntheticDiDResults.t_stat
        • SyntheticDiDResults.p_value
        • SyntheticDiDResults.conf_int
        • SyntheticDiDResults.n_obs
        • SyntheticDiDResults.n_treated
        • SyntheticDiDResults.n_control
        • SyntheticDiDResults.unit_weights
        • SyntheticDiDResults.time_weights
        • SyntheticDiDResults.pre_periods
        • SyntheticDiDResults.post_periods
        • SyntheticDiDResults.alpha
        • SyntheticDiDResults.variance_method
        • SyntheticDiDResults.noise_level
        • SyntheticDiDResults.zeta_omega
        • SyntheticDiDResults.zeta_lambda
        • SyntheticDiDResults.pre_treatment_fit
        • SyntheticDiDResults.placebo_effects
        • SyntheticDiDResults.n_bootstrap
        • SyntheticDiDResults.__repr__()
        • SyntheticDiDResults.summary()
        • SyntheticDiDResults.print_summary()
        • SyntheticDiDResults.to_dict()
        • SyntheticDiDResults.to_dataframe()
        • SyntheticDiDResults.get_unit_weights_df()
        • SyntheticDiDResults.get_time_weights_df()
        • SyntheticDiDResults.is_significant
        • SyntheticDiDResults.significance_stars
        • SyntheticDiDResults.__init__()
  • Visualization
    • plot_event_study
      • plot_event_study()
      • Example
    • plot_group_effects
      • plot_group_effects()
      • Example
    • plot_sensitivity
      • plot_sensitivity()
      • Example
    • plot_honest_event_study
      • plot_honest_event_study()
      • Example
  • Diagnostics
    • run_placebo_test
      • run_placebo_test()
    • placebo_timing_test
      • placebo_timing_test()
      • Example
    • placebo_group_test
      • placebo_group_test()
      • Example
    • permutation_test
      • permutation_test()
      • Example
    • leave_one_out_test
      • leave_one_out_test()
      • Example
    • run_all_placebo_tests
      • run_all_placebo_tests()
    • PlaceboTestResults
      • PlaceboTestResults
        • PlaceboTestResults.test_type
        • PlaceboTestResults.placebo_effect
        • PlaceboTestResults.se
        • PlaceboTestResults.t_stat
        • PlaceboTestResults.p_value
        • PlaceboTestResults.conf_int
        • PlaceboTestResults.n_obs
        • PlaceboTestResults.is_significant
        • PlaceboTestResults.original_effect
        • PlaceboTestResults.original_se
        • PlaceboTestResults.permutation_distribution
        • PlaceboTestResults.leave_one_out_effects
        • PlaceboTestResults.fake_period
        • PlaceboTestResults.fake_group
        • PlaceboTestResults.test_type
        • PlaceboTestResults.placebo_effect
        • PlaceboTestResults.se
        • PlaceboTestResults.t_stat
        • PlaceboTestResults.p_value
        • PlaceboTestResults.conf_int
        • PlaceboTestResults.n_obs
        • PlaceboTestResults.is_significant
        • PlaceboTestResults.alpha
        • PlaceboTestResults.original_effect
        • PlaceboTestResults.original_se
        • PlaceboTestResults.permutation_distribution
        • PlaceboTestResults.leave_one_out_effects
        • PlaceboTestResults.fake_period
        • PlaceboTestResults.fake_group
        • PlaceboTestResults.n_permutations
        • PlaceboTestResults.significance_stars
        • PlaceboTestResults.summary()
        • PlaceboTestResults.print_summary()
        • PlaceboTestResults.to_dict()
        • PlaceboTestResults.to_dataframe()
        • PlaceboTestResults.__init__()
  • Honest DiD
    • Overview
    • HonestDiD
      • HonestDiD
        • HonestDiD.__init__()
        • HonestDiD.get_params()
        • HonestDiD.set_params()
        • HonestDiD.fit()
        • HonestDiD.sensitivity_analysis()
        • HonestDiD.breakdown_value()
      • Example
    • HonestDiDResults
      • HonestDiDResults
        • HonestDiDResults.lb
        • HonestDiDResults.ub
        • HonestDiDResults.ci_lb
        • HonestDiDResults.ci_ub
        • HonestDiDResults.M
        • HonestDiDResults.method
        • HonestDiDResults.original_estimate
        • HonestDiDResults.original_se
        • HonestDiDResults.alpha
        • HonestDiDResults.ci_method
        • HonestDiDResults.original_results
        • HonestDiDResults.lb
        • HonestDiDResults.ub
        • HonestDiDResults.ci_lb
        • HonestDiDResults.ci_ub
        • HonestDiDResults.M
        • HonestDiDResults.method
        • HonestDiDResults.original_estimate
        • HonestDiDResults.original_se
        • HonestDiDResults.alpha
        • HonestDiDResults.ci_method
        • HonestDiDResults.original_results
        • HonestDiDResults.event_study_bounds
        • HonestDiDResults.is_significant
        • HonestDiDResults.significance_stars
        • HonestDiDResults.identified_set_width
        • HonestDiDResults.ci_width
        • HonestDiDResults.summary()
        • HonestDiDResults.print_summary()
        • HonestDiDResults.to_dict()
        • HonestDiDResults.to_dataframe()
        • HonestDiDResults.__init__()
    • SensitivityResults
      • SensitivityResults
        • SensitivityResults.M_values
        • SensitivityResults.bounds
        • SensitivityResults.robust_cis
        • SensitivityResults.breakdown_M
        • SensitivityResults.method
        • SensitivityResults.original_estimate
        • SensitivityResults.original_se
        • SensitivityResults.alpha
        • SensitivityResults.M_values
        • SensitivityResults.bounds
        • SensitivityResults.robust_cis
        • SensitivityResults.breakdown_M
        • SensitivityResults.method
        • SensitivityResults.original_estimate
        • SensitivityResults.original_se
        • SensitivityResults.alpha
        • SensitivityResults.has_breakdown
        • SensitivityResults.summary()
        • SensitivityResults.print_summary()
        • SensitivityResults.to_dataframe()
        • SensitivityResults.plot()
        • SensitivityResults.__init__()
    • Restriction Classes
      • DeltaSD
        • DeltaSD
      • DeltaRM
        • DeltaRM
      • DeltaSDRM
        • DeltaSDRM
    • Convenience Functions
      • compute_honest_did
        • compute_honest_did()
      • sensitivity_plot
        • sensitivity_plot()
    • Complete Example
    • References
  • Power Analysis
    • Overview
    • PowerAnalysis
      • PowerAnalysis
        • PowerAnalysis.__init__()
        • PowerAnalysis.power()
        • PowerAnalysis.mde()
        • PowerAnalysis.sample_size()
        • PowerAnalysis.power_curve()
        • PowerAnalysis.sample_size_curve()
      • Example
    • PowerResults
      • PowerResults
        • PowerResults.power
        • PowerResults.mde
        • PowerResults.required_n
        • PowerResults.effect_size
        • PowerResults.alpha
        • PowerResults.alternative
        • PowerResults.n_treated
        • PowerResults.n_control
        • PowerResults.n_pre
        • PowerResults.n_post
        • PowerResults.sigma
        • PowerResults.rho
        • PowerResults.design
        • PowerResults.power
        • PowerResults.mde
        • PowerResults.required_n
        • PowerResults.effect_size
        • PowerResults.alpha
        • PowerResults.alternative
        • PowerResults.n_treated
        • PowerResults.n_control
        • PowerResults.n_pre
        • PowerResults.n_post
        • PowerResults.sigma
        • PowerResults.rho
        • PowerResults.design
        • PowerResults.__repr__()
        • PowerResults.summary()
        • PowerResults.print_summary()
        • PowerResults.to_dict()
        • PowerResults.to_dataframe()
        • PowerResults.__init__()
    • SimulationPowerResults
      • SimulationPowerResults
        • SimulationPowerResults.power
        • SimulationPowerResults.power_se
        • SimulationPowerResults.power_ci
        • SimulationPowerResults.rejection_rate
        • SimulationPowerResults.mean_estimate
        • SimulationPowerResults.std_estimate
        • SimulationPowerResults.mean_se
        • SimulationPowerResults.coverage
        • SimulationPowerResults.n_simulations
        • SimulationPowerResults.effect_sizes
        • SimulationPowerResults.powers
        • SimulationPowerResults.true_effect
        • SimulationPowerResults.alpha
        • SimulationPowerResults.estimator_name
        • SimulationPowerResults.power
        • SimulationPowerResults.power_se
        • SimulationPowerResults.power_ci
        • SimulationPowerResults.rejection_rate
        • SimulationPowerResults.mean_estimate
        • SimulationPowerResults.std_estimate
        • SimulationPowerResults.mean_se
        • SimulationPowerResults.coverage
        • SimulationPowerResults.n_simulations
        • SimulationPowerResults.effect_sizes
        • SimulationPowerResults.powers
        • SimulationPowerResults.true_effect
        • SimulationPowerResults.alpha
        • SimulationPowerResults.estimator_name
        • SimulationPowerResults.bias
        • SimulationPowerResults.rmse
        • SimulationPowerResults.simulation_results
        • SimulationPowerResults.__post_init__()
        • SimulationPowerResults.__repr__()
        • SimulationPowerResults.summary()
        • SimulationPowerResults.print_summary()
        • SimulationPowerResults.to_dict()
        • SimulationPowerResults.to_dataframe()
        • SimulationPowerResults.power_curve_df()
        • SimulationPowerResults.__init__()
    • Convenience Functions
      • compute_power
        • compute_power()
      • compute_mde
        • compute_mde()
      • compute_sample_size
        • compute_sample_size()
      • simulate_power
        • simulate_power()
    • Complete Example
    • See Also
  • Pre-Trends Power Analysis
    • Overview
    • PreTrendsPower
      • PreTrendsPower
        • PreTrendsPower.__init__()
        • PreTrendsPower.get_params()
        • PreTrendsPower.set_params()
        • PreTrendsPower.fit()
        • PreTrendsPower.power_at()
        • PreTrendsPower.power_curve()
        • PreTrendsPower.sensitivity_to_honest_did()
      • Example
    • PreTrendsPowerResults
      • PreTrendsPowerResults
        • PreTrendsPowerResults.power
        • PreTrendsPowerResults.mdv
        • PreTrendsPowerResults.violation_magnitude
        • PreTrendsPowerResults.violation_type
        • PreTrendsPowerResults.alpha
        • PreTrendsPowerResults.target_power
        • PreTrendsPowerResults.n_pre_periods
        • PreTrendsPowerResults.test_statistic
        • PreTrendsPowerResults.critical_value
        • PreTrendsPowerResults.noncentrality
        • PreTrendsPowerResults.pre_period_effects
        • PreTrendsPowerResults.pre_period_ses
        • PreTrendsPowerResults.vcov
        • PreTrendsPowerResults.power
        • PreTrendsPowerResults.mdv
        • PreTrendsPowerResults.violation_magnitude
        • PreTrendsPowerResults.violation_type
        • PreTrendsPowerResults.alpha
        • PreTrendsPowerResults.target_power
        • PreTrendsPowerResults.n_pre_periods
        • PreTrendsPowerResults.test_statistic
        • PreTrendsPowerResults.critical_value
        • PreTrendsPowerResults.noncentrality
        • PreTrendsPowerResults.pre_period_effects
        • PreTrendsPowerResults.pre_period_ses
        • PreTrendsPowerResults.vcov
        • PreTrendsPowerResults.original_results
        • PreTrendsPowerResults.is_informative
        • PreTrendsPowerResults.power_adequate
        • PreTrendsPowerResults.summary()
        • PreTrendsPowerResults.print_summary()
        • PreTrendsPowerResults.to_dict()
        • PreTrendsPowerResults.to_dataframe()
        • PreTrendsPowerResults.power_at()
        • PreTrendsPowerResults.__init__()
    • PreTrendsPowerCurve
      • PreTrendsPowerCurve
        • PreTrendsPowerCurve.M_values
        • PreTrendsPowerCurve.powers
        • PreTrendsPowerCurve.mdv
        • PreTrendsPowerCurve.alpha
        • PreTrendsPowerCurve.target_power
        • PreTrendsPowerCurve.violation_type
        • PreTrendsPowerCurve.M_values
        • PreTrendsPowerCurve.powers
        • PreTrendsPowerCurve.mdv
        • PreTrendsPowerCurve.alpha
        • PreTrendsPowerCurve.target_power
        • PreTrendsPowerCurve.violation_type
        • PreTrendsPowerCurve.to_dataframe()
        • PreTrendsPowerCurve.plot()
        • PreTrendsPowerCurve.__init__()
    • Convenience Functions
      • compute_pretrends_power
        • compute_pretrends_power()
      • compute_mdv
        • compute_mdv()
    • Violation Types
    • Complete Example
    • References
    • See Also
  • Utilities
    • Parallel Trends Testing
      • check_parallel_trends
        • check_parallel_trends()
        • Example
      • check_parallel_trends_robust
        • check_parallel_trends_robust()
      • equivalence_test_trends
        • equivalence_test_trends()
        • Example
    • Wild Cluster Bootstrap
      • wild_bootstrap_se
        • wild_bootstrap_se()
        • Example
      • WildBootstrapResults
        • WildBootstrapResults
        • Weight Types
        • Recommendation
  • Data Preparation
    • Data Generation
      • generate_did_data
        • generate_did_data()
        • Example
    • Indicator Creation
      • make_treatment_indicator
        • make_treatment_indicator()
        • Example
      • make_post_indicator
        • make_post_indicator()
        • Example
    • Panel Data Utilities
      • wide_to_long
        • wide_to_long()
        • Example
      • balance_panel
        • balance_panel()
        • Example
    • Staggered Adoption Utilities
      • create_event_time
        • create_event_time()
        • Example
      • aggregate_to_cohorts
        • aggregate_to_cohorts()
        • Example
    • Data Validation
      • validate_did_data
        • validate_did_data()
        • Example
      • summarize_did_data
        • summarize_did_data()
        • Example
    • Control Unit Selection
      • rank_control_units
        • rank_control_units()
        • Example
diff-diff
  • Python Module Index

Python Module Index

d
 
d
- diff_diff
    diff_diff.diagnostics
    diff_diff.estimators
    diff_diff.honest_did
    diff_diff.imputation
    diff_diff.power
    diff_diff.prep
    diff_diff.pretrends
    diff_diff.results
    diff_diff.stacked_did
    diff_diff.staggered
    diff_diff.sun_abraham
    diff_diff.synthetic_did
    diff_diff.triple_diff
    diff_diff.trop
    diff_diff.twfe
    diff_diff.utils
    diff_diff.visualization

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