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Practitioner Guide
Decision Tree
Getting Started
Estimator Guide
Troubleshooting

GitHub
PyPI

Practitioner Guide
Decision Tree
Getting Started
Estimator Guide
Troubleshooting
References
Measuring Campaign Impact on Brand Awareness with Survey Data
Tutorial 18: Geo-Experiment Analysis with SyntheticDiD
Tutorial 19: dCDH for Marketing Pulse Campaigns
Tutorial 20: HAD for a National Brand Campaign with Regional Spend Intensity
Tutorial 21: HAD Pre-test Workflow - Running the Pre-test Diagnostics on the Brand Campaign Panel
Tutorial 22: Survey-Weighted HAD - The BRFSS-Shape Rollout
Spillover-aware DiD with SpilloverDiD — a TVA-style worked example
Basic Difference-in-Differences with diff-diff
Staggered Difference-in-Differences
Synthetic Difference-in-Differences (SDID)
Tutorial 8: Triple Difference (DDD) Estimation
Real-World Data Examples
Triply Robust Panel (TROP) Estimator
Imputation DiD (Borusyak, Jaravel & Spiess 2024)
Two-Stage DiD (Gardner 2022)
Stacked DiD (Wing, Freedman & Hollingsworth 2024)
Continuous Difference-in-Differences
Efficient DiD (Chen, Sant’Anna & Xie 2025)
Survey-Aware Difference-in-Differences
Wooldridge Extended Two-Way Fixed Effects (ETWFE)
Testing Parallel Trends and DiD Diagnostics
Honest DiD: Sensitivity Analysis for Parallel Trends
Power Analysis for Difference-in-Differences
Pre-Trends Power Analysis (Roth 2022)
Tutorial 24: Staggered Rollout or a Simple 2×2? A Power-Analysis Decision Guide
R Comparison
Python Comparison
Benchmarks
API Reference

GitHub
PyPI

Section Navigation

diff_diff.DifferenceInDifferences
diff_diff.TwoWayFixedEffects
diff_diff.MultiPeriodDiD
diff_diff.SyntheticDiD
diff_diff.CallawaySantAnna
diff_diff.ChaisemartinDHaultfoeuille
diff_diff.SunAbraham
diff_diff.ImputationDiD
diff_diff.StackedDiD
diff_diff.TripleDifference
diff_diff.TROP
diff_diff.SyntheticControl
diff_diff.ContinuousDiD
diff_diff.HeterogeneousAdoptionDiD
diff_diff.EfficientDiD
diff_diff.TwoStageDiD
diff_diff.SpilloverDiD
diff_diff.WooldridgeDiD
diff_diff.BaconDecomposition
diff_diff.StaggeredTripleDifference

diff_diff.DiDResults
diff_diff.MultiPeriodDiDResults
diff_diff.SyntheticDiDResults
diff_diff.PeriodEffect
diff_diff.CallawaySantAnnaResults
diff_diff.CSBootstrapResults
diff_diff.GroupTimeEffect
diff_diff.ChaisemartinDHaultfoeuilleResults
diff_diff.DCDHBootstrapResults
diff_diff.SunAbrahamResults
diff_diff.SABootstrapResults
diff_diff.ImputationDiDResults
diff_diff.ImputationBootstrapResults
diff_diff.TripleDifferenceResults
diff_diff.StackedDiDResults
diff_diff.TROPResults
diff_diff.SyntheticControlResults
diff_diff.ContinuousDiDResults
diff_diff.DoseResponseCurve
diff_diff.HeterogeneousAdoptionDiDResults
diff_diff.HeterogeneousAdoptionDiDEventStudyResults
diff_diff.EfficientDiDResults
diff_diff.EDiDBootstrapResults
diff_diff.TwoStageDiDResults
diff_diff.TwoStageBootstrapResults
diff_diff.SpilloverDiDResults
diff_diff.BaconDecompositionResults
diff_diff.wooldridge_results.WooldridgeDiDResults
diff_diff.Comparison2x2
diff_diff.StaggeredTripleDiffResults
diff_diff.TWFEWeightsResult

diff_diff.plot_event_study
diff_diff.plot_group_effects
diff_diff.plot_sensitivity
diff_diff.plot_honest_event_study
diff_diff.plot_bacon
diff_diff.plot_power_curve
diff_diff.plot_pretrends_power

diff_diff.run_placebo_test
diff_diff.placebo_timing_test
diff_diff.placebo_group_test
diff_diff.permutation_test
diff_diff.leave_one_out_test
diff_diff.run_all_placebo_tests
diff_diff.PlaceboTestResults

diff_diff.profile_panel
diff_diff.PanelProfile
diff_diff.OutcomeShape
diff_diff.TreatmentDoseShape
diff_diff.Alert

diff_diff.HonestDiD
diff_diff.HonestDiDResults
diff_diff.SensitivityResults
diff_diff.DeltaSD
diff_diff.DeltaRM
diff_diff.DeltaSDRM
diff_diff.compute_honest_did
diff_diff.sensitivity_plot

diff_diff.check_parallel_trends
diff_diff.check_parallel_trends_robust
diff_diff.equivalence_test_trends

diff_diff.HADPretestReport
diff_diff.QUGTestResults
diff_diff.StuteTestResults
diff_diff.YatchewTestResults
diff_diff.StuteJointResult

diff_diff.wild_bootstrap_se
diff_diff.WildBootstrapResults

diff_diff.PowerAnalysis
diff_diff.PowerResults
diff_diff.SimulationPowerResults
diff_diff.SimulationMDEResults
diff_diff.SimulationSampleSizeResults
diff_diff.compute_power
diff_diff.compute_mde
diff_diff.compute_sample_size
diff_diff.simulate_power
diff_diff.simulate_mde
diff_diff.simulate_sample_size

diff_diff.PreTrendsPower
diff_diff.PreTrendsPowerResults
diff_diff.PreTrendsPowerCurve
diff_diff.compute_pretrends_power
diff_diff.compute_mdv

diff_diff.BusinessReport
diff_diff.BusinessContext
diff_diff.DiagnosticReport
diff_diff.DiagnosticReportResults

diff_diff.LocalLinearFit
diff_diff.BandwidthResult
diff_diff.BiasCorrectedFit

diff_diff.generate_did_data
diff_diff.generate_continuous_did_data
diff_diff.generate_staggered_data
diff_diff.generate_event_study_data
diff_diff.generate_ddd_data
diff_diff.generate_factor_data
diff_diff.generate_panel_data
diff_diff.make_treatment_indicator
diff_diff.make_post_indicator
diff_diff.wide_to_long
diff_diff.balance_panel
diff_diff.validate_did_data
diff_diff.summarize_did_data
diff_diff.create_event_time
diff_diff.aggregate_to_cohorts
diff_diff.rank_control_units

diff_diff.load_card_krueger
diff_diff.load_castle_doctrine
diff_diff.load_divorce_laws
diff_diff.load_mpdta
diff_diff.load_dataset
diff_diff.list_datasets
diff_diff.clear_cache

Estimators
Staggered Adoption
de Chaisemartin-D’Haultfœuille (dCDH) DiD
Imputation DiD (Borusyak et al. 2024)
Stacked Difference-in-Differences
Triple Difference (DDD)
Triply Robust Panel (TROP)
Synthetic Control Method (SCM)
Continuous Difference-in-Differences
Heterogeneous Adoption Difference-in-Differences
Efficient Difference-in-Differences
Two-Stage DiD (Gardner 2022)
Spillover-Aware DiD (Butts 2021)
Wooldridge Extended Two-Way Fixed Effects (ETWFE)
Bacon Decomposition (Goodman-Bacon 2021)

Local-Linear Infrastructure

Panel Profiling

Diagnostics
Honest DiD
Power Analysis
Pre-Trends Power Analysis

BusinessReport
DiagnosticReport

Results Classes
Visualization

Utilities
Data Preparation
Datasets

API Reference
diff_diff.clear_cache

diff_diff.clear_cache#

diff_diff.clear_cache()[source]

Clear the local dataset cache.

Return type:: None

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diff_diff.list_datasets

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Estimators

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