Index

_

_demean_transform() (in module lwdid.transformations)

_detrend_transform() (in module lwdid.transformations)

A

aggregate_to_cohort() (in module lwdid.staggered) aggregate_to_event_time() (in module lwdid.staggered) aggregate_to_overall() (in module lwdid.staggered) AggregationError all_same_sign (lwdid.sensitivity.PrePeriodRobustnessResult attribute) all_significant (lwdid.sensitivity.PrePeriodRobustnessResult attribute) alternative_method (lwdid.trend_diagnostics.TransformationRecommendation attribute) alternative_reason (lwdid.trend_diagnostics.TransformationRecommendation attribute) anticipation_detected (lwdid.sensitivity.NoAnticipationSensitivityResult attribute)

anticipation_result (lwdid.sensitivity.ComprehensiveSensitivityResult attribute) AnticipationDetectionMethod (class in lwdid.sensitivity) AnticipationEstimate (class in lwdid.sensitivity) apply_rolling_transform() (in module lwdid.transformations) att (lwdid.sensitivity.AnticipationEstimate attribute) (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) att_mean (lwdid.sensitivity.PrePeriodRobustnessResult attribute) att_range (lwdid.sensitivity.PrePeriodRobustnessResult attribute) att_std (lwdid.sensitivity.PrePeriodRobustnessResult attribute)

B

baseline_estimate (lwdid.sensitivity.NoAnticipationSensitivityResult attribute)

baseline_spec (lwdid.sensitivity.PrePeriodRobustnessResult attribute)

C

check_clustering_consistency() (in module lwdid.clustering_diagnostics) ci_lower (lwdid.sensitivity.AnticipationEstimate attribute) (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) ci_upper (lwdid.sensitivity.AnticipationEstimate attribute) (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) COEFFICIENT_CHANGE (lwdid.sensitivity.AnticipationDetectionMethod attribute) cohort (lwdid.trend_diagnostics.CohortTrendEstimate attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute)

cohort_1 (lwdid.trend_diagnostics.TrendDifference attribute) cohort_2 (lwdid.trend_diagnostics.TrendDifference attribute) cohort_effects_to_dataframe() (in module lwdid.staggered) CohortTrendEstimate (class in lwdid.trend_diagnostics) ComprehensiveSensitivityResult (class in lwdid.sensitivity) confidence (lwdid.trend_diagnostics.TransformationRecommendation attribute) confidence_level (lwdid.trend_diagnostics.TransformationRecommendation attribute) construct_aggregated_outcome() (in module lwdid.staggered) control_group_trend (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) converged (lwdid.sensitivity.SpecificationResult attribute) count_control_units_by_strategy() (in module lwdid.staggered)

D

DEMEAN (lwdid.trend_diagnostics.TransformationMethod attribute) DEMEANQ (lwdid.trend_diagnostics.TransformationMethod attribute) demeanq_unit() (in module lwdid.transformations) detailed_recommendations (lwdid.sensitivity.PrePeriodRobustnessResult attribute) detect_frequency() (in module lwdid.validation) detection_method (lwdid.sensitivity.NoAnticipationSensitivityResult attribute) DETREND (lwdid.trend_diagnostics.TransformationMethod attribute) detrend_unit() (in module lwdid.transformations)

DETRENDQ (lwdid.trend_diagnostics.TransformationMethod attribute) detrendq_unit() (in module lwdid.transformations) df (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) (lwdid.trend_diagnostics.TrendDifference attribute) diagnose_clustering() (in module lwdid.clustering_diagnostics) diagnose_heterogeneous_trends() (in module lwdid.trend_diagnostics) diagnose_selection_mechanism() (in module lwdid.selection_diagnostics)

E

end_period (lwdid.sensitivity.SpecificationResult attribute) estimate_att() (in module lwdid.estimation) estimate_cohort_time_effects() (in module lwdid.staggered) estimate_ipw() (in module lwdid.staggered) estimate_ipwra() (in module lwdid.staggered) estimate_outcome_model() (in module lwdid.staggered) estimate_period_effects() (in module lwdid.estimation) estimate_pre_treatment_effects() (in module lwdid.staggered)

estimate_propensity_score() (in module lwdid.staggered) estimate_psm() (in module lwdid.staggered) estimates (lwdid.sensitivity.NoAnticipationSensitivityResult attribute) estimator (lwdid.sensitivity.PrePeriodRobustnessResult attribute) estimator_comparison (lwdid.sensitivity.ComprehensiveSensitivityResult attribute) event_time (lwdid.trend_diagnostics.PreTrendEstimate attribute) excluded_periods (lwdid.sensitivity.AnticipationEstimate attribute) (lwdid.sensitivity.SpecificationResult attribute)

F

figure (lwdid.sensitivity.NoAnticipationSensitivityResult attribute) (lwdid.sensitivity.PrePeriodRobustnessResult attribute) (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute)

G

get_all_control_masks() (in module lwdid.staggered) get_all_control_masks_pre() (in module lwdid.staggered) get_cohort_mask() (in module lwdid.validation) get_cohorts() (in module lwdid.staggered)

get_pre_treatment_periods_for_cohort() (in module lwdid.staggered) get_specification() (lwdid.sensitivity.PrePeriodRobustnessResult method) get_unit_missing_stats() (in module lwdid.selection_diagnostics) get_valid_control_units() (in module lwdid.staggered) get_valid_periods_for_cohort() (in module lwdid.staggered)

H

has_heterogeneous_trends (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) has_never_treated_units() (in module lwdid.staggered) has_seasonal_pattern (lwdid.trend_diagnostics.TransformationRecommendation attribute) has_significant_trend (lwdid.trend_diagnostics.CohortTrendEstimate property) heterogeneous_trends_diag (lwdid.trend_diagnostics.TransformationRecommendation attribute)

HeterogeneousTrendsDiagnostics (class in lwdid.trend_diagnostics) HIGH (lwdid.selection_diagnostics.SelectionRisk attribute) (lwdid.trend_diagnostics.RecommendationConfidence attribute) HIGHLY_ROBUST (lwdid.sensitivity.RobustnessLevel attribute) HIGHLY_SENSITIVE (lwdid.sensitivity.RobustnessLevel attribute)

I

identify_never_treated_units() (in module lwdid.staggered) INSUFFICIENT_DATA (lwdid.sensitivity.AnticipationDetectionMethod attribute) InsufficientCellSizeError InsufficientDataError InsufficientPrePeriodsError InsufficientQuarterDiversityError intercept (lwdid.trend_diagnostics.CohortTrendEstimate attribute) intercept_se (lwdid.trend_diagnostics.CohortTrendEstimate attribute) InvalidAggregationError InvalidParameterError

InvalidRollingMethodError InvalidStaggeredDataError InvalidVCETypeError is_balanced_panel (lwdid.trend_diagnostics.TransformationRecommendation attribute) is_never_treated() (in module lwdid.validation) is_robust (lwdid.sensitivity.PrePeriodRobustnessResult attribute) is_significant (lwdid.sensitivity.AnticipationEstimate property) is_significant_05 (lwdid.sensitivity.SpecificationResult property) (lwdid.trend_diagnostics.PreTrendEstimate property) is_significant_10 (lwdid.sensitivity.SpecificationResult property) (lwdid.trend_diagnostics.PreTrendEstimate property)

J

JOINT (lwdid.trend_diagnostics.TrendTestMethod attribute) joint_df (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute)

joint_f_stat (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) joint_pvalue (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute)

L

LOW (lwdid.selection_diagnostics.SelectionRisk attribute) (lwdid.trend_diagnostics.RecommendationConfidence attribute) lwdid() (in module lwdid) lwdid.estimation module lwdid.exceptions module lwdid.preprocessing module lwdid.randomization module

lwdid.results module lwdid.sensitivity module lwdid.transformations module lwdid.validation module lwdid.visualization module LWDIDError

M

MAR (lwdid.selection_diagnostics.MissingPattern attribute) max_abs_pre_att (lwdid.trend_diagnostics.ParallelTrendsTestResult property) max_trend_difference (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics property) MCAR (lwdid.selection_diagnostics.MissingPattern attribute) MEDIUM (lwdid.selection_diagnostics.SelectionRisk attribute) (lwdid.trend_diagnostics.RecommendationConfidence attribute) method (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) MissingPattern (class in lwdid.selection_diagnostics) MissingRequiredColumnError MNAR (lwdid.selection_diagnostics.MissingPattern attribute)

MODERATELY_ROBUST (lwdid.sensitivity.RobustnessLevel attribute) module lwdid.estimation lwdid.exceptions lwdid.preprocessing lwdid.randomization lwdid.results lwdid.sensitivity lwdid.transformations lwdid.validation lwdid.visualization

N

n_cohorts (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics property) n_control (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) n_pre_periods (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.CohortTrendEstimate attribute) n_pre_periods_max (lwdid.trend_diagnostics.TransformationRecommendation attribute) n_pre_periods_min (lwdid.trend_diagnostics.TransformationRecommendation attribute) n_pre_periods_used (lwdid.sensitivity.AnticipationEstimate attribute) n_sign_changes (lwdid.sensitivity.PrePeriodRobustnessResult attribute) n_significant (lwdid.sensitivity.PrePeriodRobustnessResult attribute)

n_significant_differences (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics property) n_significant_pre_trends (lwdid.trend_diagnostics.ParallelTrendsTestResult property) n_specifications (lwdid.sensitivity.PrePeriodRobustnessResult attribute) n_treated (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) n_units (lwdid.trend_diagnostics.CohortTrendEstimate attribute) NoAnticipationSensitivityResult (class in lwdid.sensitivity) NoControlUnitsError NONE_DETECTED (lwdid.sensitivity.AnticipationDetectionMethod attribute) NoNeverTreatedError NoTreatedUnitsError

O

overall_assessment (lwdid.sensitivity.ComprehensiveSensitivityResult attribute)

P

parallel_trends_test (lwdid.trend_diagnostics.TransformationRecommendation attribute) ParallelTrendsTestResult (class in lwdid.trend_diagnostics) PLACEBO (lwdid.trend_diagnostics.TrendTestMethod attribute) PLACEBO_TEST (lwdid.sensitivity.AnticipationDetectionMethod attribute) plot() (lwdid.sensitivity.NoAnticipationSensitivityResult method) (lwdid.sensitivity.PrePeriodRobustnessResult method) plot_all() (lwdid.sensitivity.ComprehensiveSensitivityResult method) plot_cohort_trends() (in module lwdid.trend_diagnostics) plot_missing_pattern() (in module lwdid.selection_diagnostics) plot_results() (in module lwdid.visualization) plot_sensitivity() (in module lwdid.sensitivity) pre_period_range_tested (lwdid.sensitivity.PrePeriodRobustnessResult attribute)

pre_period_result (lwdid.sensitivity.ComprehensiveSensitivityResult attribute) pre_treatment_effects_to_dataframe() (in module lwdid.staggered) pre_trend_estimates (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) prepare_controls() (in module lwdid.estimation) prepare_plot_data() (in module lwdid.visualization) PrePeriodRobustnessResult (class in lwdid.sensitivity) PreTrendEstimate (class in lwdid.trend_diagnostics) pvalue (lwdid.sensitivity.AnticipationEstimate attribute) (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) (lwdid.trend_diagnostics.TrendDifference attribute)

R

r_squared (lwdid.trend_diagnostics.CohortTrendEstimate attribute) randomization_inference_staggered() (in module lwdid.staggered) RandomizationError reasons (lwdid.trend_diagnostics.TransformationRecommendation attribute) recommend_clustering_level() (in module lwdid.clustering_diagnostics) recommend_transformation() (in module lwdid.trend_diagnostics) recommendation (lwdid.sensitivity.NoAnticipationSensitivityResult attribute) (lwdid.sensitivity.PrePeriodRobustnessResult attribute) (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) recommendation_confidence (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) recommendation_reason (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) RecommendationConfidence (class in lwdid.trend_diagnostics) recommendations (lwdid.sensitivity.ComprehensiveSensitivityResult attribute) recommended_exclusion (lwdid.sensitivity.NoAnticipationSensitivityResult attribute)

recommended_method (lwdid.trend_diagnostics.TransformationRecommendation attribute) REGRESSION (lwdid.trend_diagnostics.TrendTestMethod attribute) reject_null (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) residual_std (lwdid.trend_diagnostics.CohortTrendEstimate attribute) result_warnings (lwdid.sensitivity.NoAnticipationSensitivityResult attribute) (lwdid.sensitivity.PrePeriodRobustnessResult attribute) results_to_dataframe() (in module lwdid.staggered) ri_cohort_effect() (in module lwdid.staggered) ri_overall_effect() (in module lwdid.staggered) robustness_level (lwdid.sensitivity.PrePeriodRobustnessResult attribute) robustness_pre_periods() (in module lwdid.sensitivity) robustness_threshold (lwdid.sensitivity.PrePeriodRobustnessResult attribute) RobustnessLevel (class in lwdid.sensitivity) rolling_method (lwdid.sensitivity.PrePeriodRobustnessResult attribute) run_ols_regression() (in module lwdid.staggered) run_parallel_trends_test() (in module lwdid.staggered)

S

se (lwdid.sensitivity.AnticipationEstimate attribute) (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) SelectionRisk (class in lwdid.selection_diagnostics) SENSITIVE (lwdid.sensitivity.RobustnessLevel attribute) sensitivity_analysis() (in module lwdid.sensitivity) sensitivity_no_anticipation() (in module lwdid.sensitivity) sensitivity_ratio (lwdid.sensitivity.PrePeriodRobustnessResult attribute) significant_at_05 (lwdid.trend_diagnostics.TrendDifference property) slope (lwdid.trend_diagnostics.CohortTrendEstimate attribute) slope_1 (lwdid.trend_diagnostics.TrendDifference attribute) slope_2 (lwdid.trend_diagnostics.TrendDifference attribute) slope_diff (lwdid.trend_diagnostics.TrendDifference attribute) slope_diff_se (lwdid.trend_diagnostics.TrendDifference attribute)

slope_pvalue (lwdid.trend_diagnostics.CohortTrendEstimate attribute) slope_se (lwdid.trend_diagnostics.CohortTrendEstimate attribute) spec_warnings (lwdid.sensitivity.SpecificationResult attribute) specification_id (lwdid.sensitivity.SpecificationResult attribute) SpecificationResult (class in lwdid.sensitivity) specifications (lwdid.sensitivity.PrePeriodRobustnessResult attribute) start_period (lwdid.sensitivity.SpecificationResult attribute) summarize_parallel_trends_test() (in module lwdid.staggered) summary() (lwdid.sensitivity.ComprehensiveSensitivityResult method) (lwdid.sensitivity.NoAnticipationSensitivityResult method) (lwdid.sensitivity.PrePeriodRobustnessResult method) (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics method) (lwdid.trend_diagnostics.ParallelTrendsTestResult method) (lwdid.trend_diagnostics.TransformationRecommendation method)

T

t_stat (lwdid.sensitivity.AnticipationEstimate attribute) (lwdid.sensitivity.SpecificationResult attribute) (lwdid.trend_diagnostics.PreTrendEstimate attribute) (lwdid.trend_diagnostics.TrendDifference attribute) test_parallel_trends() (in module lwdid.trend_diagnostics) test_statistic (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) TimeDiscontinuityError to_dataframe() (lwdid.sensitivity.NoAnticipationSensitivityResult method) (lwdid.sensitivity.PrePeriodRobustnessResult method) to_dict() (lwdid.sensitivity.AnticipationEstimate method) (lwdid.sensitivity.SpecificationResult method) transform_staggered_demean() (in module lwdid.staggered) transform_staggered_demean_pre() (in module lwdid.staggered)

transform_staggered_demeanq() (in module lwdid.staggered) transform_staggered_detrend() (in module lwdid.staggered) transform_staggered_detrend_pre() (in module lwdid.staggered) transform_staggered_detrendq() (in module lwdid.staggered) transformation_comparison (lwdid.sensitivity.ComprehensiveSensitivityResult attribute) TransformationMethod (class in lwdid.trend_diagnostics) TransformationRecommendation (class in lwdid.trend_diagnostics) TREND_BREAK (lwdid.sensitivity.AnticipationDetectionMethod attribute) trend_by_cohort (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) trend_differences (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) trend_heterogeneity_test (lwdid.trend_diagnostics.HeterogeneousTrendsDiagnostics attribute) TrendDifference (class in lwdid.trend_diagnostics) TrendTestMethod (class in lwdid.trend_diagnostics)

U

UnbalancedPanelError

UNKNOWN (lwdid.selection_diagnostics.MissingPattern attribute) (lwdid.selection_diagnostics.SelectionRisk attribute)

V

validate_and_prepare_data() (in module lwdid.validation) validate_control_group() (in module lwdid.staggered) validate_quarter_coverage() (in module lwdid.validation) validate_quarter_diversity() (in module lwdid.validation)

validate_season_coverage() (in module lwdid.validation) validate_season_diversity() (in module lwdid.validation) validate_staggered_data() (in module lwdid.validation) VISUAL (lwdid.trend_diagnostics.TrendTestMethod attribute) VisualizationError

W

warnings (lwdid.trend_diagnostics.ParallelTrendsTestResult attribute) (lwdid.trend_diagnostics.TransformationRecommendation attribute)

wild_cluster_bootstrap() (in module lwdid.inference) wild_cluster_bootstrap_test_inversion() (in module lwdid.inference)