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  • 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
    • 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)
    • R Comparison
    • Python Comparison
    • Benchmarks
    • API Reference
  • 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
  • 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)
  • R Comparison
  • Python Comparison
  • Benchmarks
  • API Reference
  • GitHub
  • PyPI

Python Module Index

d
 
d
- diff_diff
    diff_diff.bacon
    diff_diff.continuous_did
    diff_diff.diagnostics
    diff_diff.efficient_did
    diff_diff.estimators
    diff_diff.honest_did
    diff_diff.imputation
    diff_diff.power
    diff_diff.prep
    diff_diff.pretrends
    diff_diff.results
    diff_diff.staggered
    diff_diff.sun_abraham
    diff_diff.synthetic_did
    diff_diff.triple_diff
    diff_diff.twfe
    diff_diff.two_stage
    diff_diff.utils
    diff_diff.visualization
    diff_diff.wooldridge

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