class
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfigPython Docs
causalis
Reference
Package entry
causalisRoot package overview and namespace mapNamespaces
Submodule
causalis.dgp.panel_data_did.basebase
Submodule causalis.dgp.panel_data_did.base with no child pages and 32 documented members.
Classes
Jump directly into the documented classes for this page.
2 items
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.n_treated_unitsn_treated_units
Value: 20
20
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.n_treated_units
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.n_control_unitsn_control_units
Value: 60
60
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.n_control_units
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.n_pre_periodsn_pre_periods
Value: 24
24
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.n_pre_periods
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.n_post_periodsn_post_periods
Value: 12
12
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.n_post_periods
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.time_starttime_start
Value: 1
1
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.time_start
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.time_freqtime_freq
Value: 'M'
‘M’
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.time_freq
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.calendar_startcalendar_start
Value: '2021-01'
‘2021-01’
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.calendar_start
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treated_prefixtreated_prefix
Value: 'treated_market_'
‘treated_market_’
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treated_prefix
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.control_prefixcontrol_prefix
Value: 'control_market_'
‘control_market_’
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.control_prefix
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.random_staterandom_state
Value: 42
42
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.random_state
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.return_panel_datareturn_panel_data
Value: True
True
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.return_panel_data
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.outcome_distributionoutcome_distribution
Value: 'gaussian'
‘gaussian’
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.outcome_distribution
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.gamma_shapegamma_shape
Value: 9.0
9.0
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.gamma_shape
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.exposure_log_meanexposure_log_mean
Value: 7.1
7.1
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.exposure_log_mean
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.exposure_log_stdexposure_log_std
Value: 0.45
0.45
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.exposure_log_std
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treated_selection_shifttreated_selection_shift
Value: 0.12
0.12
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treated_selection_shift
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.common_factor_std_logcommon_factor_std_log
Value: 0.05
0.05
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.common_factor_std_log
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.unit_noise_std_logunit_noise_std_log
Value: 0.07
0.07
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.unit_noise_std_log
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.outcome_noise_std_logoutcome_noise_std_log
Value: 0.06
0.06
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.outcome_noise_std_log
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.gaussian_noise_stdgaussian_noise_std
Value: 90.0
90.0
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.gaussian_noise_std
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.rho_commonrho_common
Value: 0.45
0.45
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.rho_common
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.rho_unitrho_unit
Value: 0.35
0.35
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.rho_unit
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.seasonality_strengthseasonality_strength
Value: 0.16
0.16
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.seasonality_strength
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.parallel_trend_violationparallel_trend_violation
Value: 0.0
0.0
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.parallel_trend_violation
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treatment_effect_ratetreatment_effect_rate
Value: 0.08
0.08
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treatment_effect_rate
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treatment_effect_slopetreatment_effect_slope
Value: 0.0
0.0
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treatment_effect_slope
attribute
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treatment_effect_heterogeneity_stdtreatment_effect_heterogeneity_std
Value: 0.025
0.025
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGeneratorConfig.treatment_effect_heterogeneity_std
class
causalis.dgp.panel_data_did.base.PanelDIDGeneratorPanelDIDGenerator
Low-level generator for realistic simultaneous-adoption DID panels.
attribute
causalis.dgp.panel_data_did.base.PanelDIDGenerator.covariate_colscovariate_cols
Value: ('exposure', 'avg_order_value', 'market_competition', 'macro_index', 'seasonality_index')
(‘exposure’, ‘avg_order_value’, ‘market_competition’, ‘macro_index’, ‘seasonality_index’)
Canonical target
causalis.dgp.panel_data_did.base.PanelDIDGenerator.covariate_cols
attribute
causalis.dgp.panel_data_did.base.PanelDIDGenerator.cluster_colcluster_col
Value: 'region'
‘region’
method
causalis.dgp.panel_data_did.base.PanelDIDGenerator.generate