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small did multi test run
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‎results/did/did_multi_detailed.csv

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Learner g,Learner m,Score,In-sample-norm.,DGP,level,Coverage,CI Length,Bias,Uniform Coverage,Uniform CI Length,repetition
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LGBM Regr.,LGBM Clas.,experimental,False,1,0.9,0.475,0.6631981918824853,0.4245293917047067,0.1,0.9932181765069161,10
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LGBM Regr.,LGBM Clas.,experimental,False,1,0.95,0.5416666666666666,0.7902493871815527,0.4245293917047067,0.2,1.1015948175949941,10
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LGBM Regr.,LGBM Clas.,experimental,False,4,0.9,0.5416666666666667,0.5869258060896296,0.32764889570233524,0.1,0.8999313982334242,10
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LGBM Regr.,LGBM Clas.,experimental,False,4,0.95,0.625,0.6993652338930899,0.32764889570233524,0.2,0.9905529011972265,10
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LGBM Regr.,LGBM Clas.,experimental,False,6,0.9,0.8916666666666666,0.5732380857479841,0.1296008781804815,0.9,0.8863780150212672,10
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LGBM Regr.,LGBM Clas.,experimental,False,6,0.95,0.9583333333333333,0.6830553091310898,0.1296008781804815,0.9,0.9768868984728167,10
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LGBM Regr.,LGBM Clas.,experimental,True,1,0.9,0.4333333333333333,0.6644058230082063,0.4310666769580376,0.1,0.9956876207839418,10
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LGBM Regr.,LGBM Clas.,experimental,True,1,0.95,0.525,0.7916883684223393,0.4310666769580376,0.2,1.1010287059662813,10
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LGBM Regr.,LGBM Clas.,experimental,True,4,0.9,0.5333333333333333,0.5867446374588254,0.3252236559819743,0.1,0.9009653298965914,10
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LGBM Regr.,LGBM Clas.,experimental,True,4,0.95,0.625,0.6991493581545523,0.3252236559819743,0.2,0.9906567705361429,10
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LGBM Regr.,LGBM Clas.,experimental,True,6,0.9,0.9166666666666666,0.5744375253283261,0.1271887141133709,0.9,0.886140673979245,10
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LGBM Regr.,LGBM Clas.,experimental,True,6,0.95,0.95,0.6844845295435221,0.1271887141133709,0.9,0.9769555531920947,10
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LGBM Regr.,LGBM Clas.,observational,False,1,0.9,0.9166666666666666,2.664236516104595,0.737702874596228,1.0,4.15532260850043,10
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LGBM Regr.,LGBM Clas.,observational,False,1,0.95,0.9583333333333334,3.174633616207804,0.737702874596228,1.0,4.551877666833338,10
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LGBM Regr.,LGBM Clas.,observational,False,4,0.9,0.9,3.5057037569343903,1.0460340720779053,0.8,5.373199518974397,10
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LGBM Regr.,LGBM Clas.,observational,False,4,0.95,0.95,4.177303677040729,1.0460340720779053,1.0,5.908190710461086,10
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LGBM Regr.,LGBM Clas.,observational,False,6,0.9,0.9,2.281268632456931,0.5618099356228352,0.9,3.5680571904376768,10
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LGBM Regr.,LGBM Clas.,observational,False,6,0.95,0.95,2.7182992367310748,0.5618099356228352,1.0,3.9096210173277703,10
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LGBM Regr.,LGBM Clas.,observational,True,1,0.9,0.9166666666666666,1.1409695517478806,0.2729230152948616,1.0,1.7661171504579372,10
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LGBM Regr.,LGBM Clas.,observational,True,1,0.95,0.9583333333333334,1.3595490761249551,0.2729230152948616,1.0,1.9422779024965977,10
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LGBM Regr.,LGBM Clas.,observational,True,4,0.9,0.95,1.300679100736105,0.30657137533712187,0.9,2.0078045899921433,10
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LGBM Regr.,LGBM Clas.,observational,True,4,0.95,0.9666666666666666,1.5498547415501558,0.30657137533712187,1.0,2.20728741408156,10
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LGBM Regr.,LGBM Clas.,observational,True,6,0.9,0.9,0.9958269378502731,0.25005822501578195,1.0,1.562210388164876,10
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LGBM Regr.,LGBM Clas.,observational,True,6,0.95,0.9666666666666666,1.1866009844527796,0.25005822501578195,1.0,1.7164594299889349,10
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Linear,Logistic,experimental,False,1,0.9,0.8666666666666666,0.29402341515497066,0.08910609381990196,0.7,0.4563945612014034,10
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Linear,Logistic,experimental,True,4,0.9,0.325,0.9782224880817683,0.7615993346262713,0.0,1.4186481260559465,10
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Linear,Logistic,experimental,True,4,0.95,0.425,1.165623988719814,0.7615993346262713,0.3,1.5858023453294943,10
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Linear,Logistic,experimental,True,6,0.9,0.8416666666666666,0.9666491673336306,0.2924338853282872,0.9,1.396461066885858,10
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Linear,Logistic,experimental,True,6,0.95,0.9083333333333334,1.151833526470647,0.2924338853282872,0.9,1.562384080954277,10
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Linear,Logistic,observational,False,1,0.9,0.85,0.31425203663015777,0.08367653043797604,0.9,0.4895007276578588,10
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Linear,Logistic,observational,False,1,0.95,0.925,0.37445439750466164,0.08367653043797604,1.0,0.5393388520558242,10
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Linear,Logistic,observational,False,4,0.95,0.6,1.496739733566086,0.7066371770929671,0.4,2.000876501405903,10
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Linear,Logistic,observational,False,6,0.9,0.8833333333333332,0.9938097946227102,0.27383988384601515,0.9,1.44354873326288,10
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Linear,Logistic,observational,False,6,0.95,0.9416666666666668,1.184197410047798,0.27383988384601515,0.9,1.6062137591033303,10
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Linear,Logistic,observational,True,1,0.9,0.875,0.3129076258919823,0.08545450451730417,0.9,0.48745486803071925,10
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Linear,Logistic,observational,True,4,0.9,0.4583333333333333,1.2506620298584346,0.7103356872029178,0.2,1.7866328735215717,10
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Linear,Logistic,observational,True,6,0.95,0.925,1.1776317044472453,0.2762054991697468,0.9,1.608395843078576,10

‎results/did/did_multi_eventstudy.csv

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Learner g,Learner m,Score,In-sample-norm.,DGP,level,Coverage,CI Length,Bias,Uniform Coverage,Uniform CI Length,repetition
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LGBM Regr.,LGBM Clas.,experimental,False,1,0.9,0.31666666666666665,0.6537151341141119,0.49066639902375886,0.1,0.8523540998501415,10
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LGBM Regr.,LGBM Clas.,experimental,False,1,0.95,0.5166666666666667,0.7789496268960298,0.49066639902375886,0.3,0.9770428100782877,10
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LGBM Regr.,LGBM Clas.,experimental,False,4,0.9,0.36666666666666664,0.5452858065123898,0.3778386818154926,0.1,0.743163176914931,10
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LGBM Regr.,LGBM Clas.,experimental,False,4,0.95,0.4333333333333333,0.6497481140774426,0.3778386818154926,0.2,0.8296678442930695,10
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LGBM Regr.,LGBM Clas.,experimental,False,6,0.9,0.95,0.5315426696186827,0.12186390955805393,0.9,0.7244710155084734,10
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LGBM Regr.,LGBM Clas.,experimental,False,6,0.95,0.9666666666666668,0.6333721564208382,0.12186390955805393,0.9,0.8204261481453766,10
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LGBM Regr.,LGBM Clas.,experimental,True,1,0.9,0.2833333333333333,0.6558959400557026,0.49088494137273975,0.1,0.8651478545918568,10
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LGBM Regr.,LGBM Clas.,experimental,True,1,0.95,0.45,0.7815482174531182,0.49088494137273975,0.2,0.977876743090663,10
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LGBM Regr.,LGBM Clas.,experimental,True,4,0.9,0.41666666666666663,0.5445922521271076,0.36496793788889453,0.1,0.7376622142543021,10
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LGBM Regr.,LGBM Clas.,experimental,True,4,0.95,0.4666666666666666,0.648921693054806,0.36496793788889453,0.1,0.8399324262943078,10
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LGBM Regr.,LGBM Clas.,experimental,True,6,0.9,0.9166666666666667,0.5333510002926822,0.1267921483923527,0.9,0.7262289685879977,10
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LGBM Regr.,LGBM Clas.,experimental,True,6,0.95,0.95,0.635526915321633,0.1267921483923527,0.9,0.8201526076321896,10
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LGBM Regr.,LGBM Clas.,observational,False,1,0.9,0.9333333333333333,2.5552992411975888,0.7608777281615188,1.0,3.5528245647198546,10
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LGBM Regr.,LGBM Clas.,observational,False,1,0.95,0.9666666666666668,3.0448268468435344,0.7608777281615188,1.0,3.9835090886742615,10
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LGBM Regr.,LGBM Clas.,observational,False,4,0.9,0.9,3.5766594600203696,1.1151310261364602,0.9,4.849978691856272,10
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LGBM Regr.,LGBM Clas.,observational,False,4,0.95,0.95,4.261852612135938,1.1151310261364602,0.9,5.4843854314489615,10
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LGBM Regr.,LGBM Clas.,observational,False,6,0.9,0.9666666666666668,2.0715338989490997,0.4576593539811947,1.0,2.8905463706130057,10
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LGBM Regr.,LGBM Clas.,observational,False,6,0.95,1.0,2.4683848873647265,0.4576593539811947,1.0,3.226733174299394,10
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LGBM Regr.,LGBM Clas.,observational,True,1,0.9,0.95,1.1035468154353276,0.22988973515771507,1.0,1.549789512023247,10
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LGBM Regr.,LGBM Clas.,observational,True,1,0.95,0.95,1.3149571354356897,0.22988973515771507,1.0,1.7100374044594258,10
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LGBM Regr.,LGBM Clas.,observational,True,4,0.9,0.9333333333333333,1.2615162998420864,0.2921735103221472,0.9,1.7349291303889927,10
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LGBM Regr.,LGBM Clas.,observational,True,4,0.95,0.9666666666666666,1.5031893860265462,0.2921735103221472,0.9,1.9482906291010973,10
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LGBM Regr.,LGBM Clas.,observational,True,6,0.9,0.9166666666666667,0.9020852664274039,0.223288825691725,1.0,1.268826579092233,10
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LGBM Regr.,LGBM Clas.,observational,True,6,0.95,0.9666666666666668,1.0749008934362119,0.223288825691725,1.0,1.412850138548627,10
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Linear,Logistic,experimental,False,1,0.9,0.8166666666666667,0.20956843058873878,0.07506477801543116,0.8,0.3000288302842385,10
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Linear,Logistic,experimental,False,1,0.95,0.9,0.24971618721586605,0.07506477801543116,0.9,0.33172401119841494,10
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Linear,Logistic,experimental,False,4,0.9,0.26666666666666666,0.9758192029894814,0.8863553189507677,0.0,1.2590578271307205,10
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Linear,Logistic,experimental,False,4,0.95,0.35,1.1627602979036324,0.8863553189507677,0.3,1.425570646998339,10
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Linear,Logistic,experimental,True,1,0.9,0.8333333333333334,0.20947111193940754,0.07428343024326965,0.8,0.2979299079446137,10
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Linear,Logistic,experimental,True,1,0.95,0.9,0.24960022489278275,0.07428343024326965,0.9,0.3330048127441146,10
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Linear,Logistic,experimental,True,4,0.9,0.3,0.9769037190176618,0.8858975253049832,0.0,1.245923467397466,10
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Linear,Logistic,experimental,True,4,0.95,0.35,1.1640525784573916,0.8858975253049832,0.3,1.4322400852668717,10
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Linear,Logistic,experimental,True,6,0.9,0.8166666666666667,0.9636908575425596,0.2931962751755147,0.9,1.2538856223646675,10
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Linear,Logistic,experimental,True,6,0.95,0.9333333333333333,1.1483084829344887,0.2931962751755147,0.9,1.4163679478599076,10
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Linear,Logistic,observational,False,1,0.9,0.8666666666666666,0.22523328177594734,0.060145661276170145,0.9,0.32202147548595106,10
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Linear,Logistic,observational,False,1,0.95,0.9166666666666667,0.26838200868899714,0.060145661276170145,1.0,0.35718168239326376,10
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Linear,Logistic,observational,False,4,0.9,0.41666666666666663,1.3135619894646324,0.8111606055413789,0.3,1.671840343983336,10
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Linear,Logistic,observational,False,4,0.95,0.5666666666666667,1.5652056502942664,0.8111606055413789,0.4,1.8973728801243435,10
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Linear,Logistic,observational,False,6,0.9,0.9,0.9938846466929837,0.27188590324660405,0.9,1.2869823819918522,10
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Linear,Logistic,observational,False,6,0.95,0.9333333333333333,1.1842866017907592,0.27188590324660405,0.9,1.452249753513595,10
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Linear,Logistic,observational,True,1,0.9,0.85,0.22362395181955633,0.06146781325453693,0.9,0.31927096315703024,10
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Linear,Logistic,observational,True,1,0.95,0.9166666666666667,0.2664643737687314,0.06146781325453693,1.0,0.3549910024680031,10
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Linear,Logistic,observational,True,4,0.9,0.4,1.3111465991606206,0.8189855976253808,0.4,1.6704469678803615,10
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Linear,Logistic,observational,True,4,0.95,0.5666666666666667,1.5623275352286452,0.8189855976253808,0.5,1.894016910355654,10
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Linear,Logistic,observational,True,6,0.9,0.8833333333333334,0.987754294207036,0.2775290083947557,0.9,1.2747731988103106,10
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Linear,Logistic,observational,True,6,0.95,0.95,1.1769818362553224,0.2775290083947557,0.9,1.4482252219187701,10

‎results/did/did_multi_group.csv

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Learner g,Learner m,Score,In-sample-norm.,DGP,level,Coverage,CI Length,Bias,Uniform Coverage,Uniform CI Length,repetition
2+
LGBM Regr.,LGBM Clas.,experimental,False,1,0.9,0.4,0.7038778757281438,0.47194973287162156,0.2,0.8758913214185977,10
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LGBM Regr.,LGBM Clas.,experimental,False,1,0.95,0.5,0.8387222202249021,0.47194973287162156,0.2,1.001010069655882,10
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LGBM Regr.,LGBM Clas.,experimental,False,4,0.9,0.5,0.6149881253656317,0.3604337033572076,0.2,0.7810219664812267,10
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LGBM Regr.,LGBM Clas.,experimental,False,4,0.95,0.5666666666666667,0.732803549742243,0.3604337033572076,0.2,0.8919457124055196,10
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LGBM Regr.,LGBM Clas.,experimental,False,6,0.9,0.9333333333333333,0.5996559313467016,0.12668533432786627,0.9,0.7620919434781398,10
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LGBM Regr.,LGBM Clas.,experimental,False,6,0.95,0.9666666666666666,0.7145341137336549,0.12668533432786627,0.9,0.8630472730843429,10
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LGBM Regr.,LGBM Clas.,experimental,True,1,0.9,0.4,0.7053152806494579,0.4746991771029457,0.0,0.8810869883220048,10
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LGBM Regr.,LGBM Clas.,experimental,True,1,0.95,0.4333333333333333,0.8404349938302946,0.4746991771029457,0.2,1.0105973604651746,10
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LGBM Regr.,LGBM Clas.,experimental,True,4,0.9,0.4666666666666666,0.6137523693083393,0.35662870553179526,0.2,0.7787017019204658,10
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LGBM Regr.,LGBM Clas.,experimental,True,4,0.95,0.5666666666666667,0.7313310555784558,0.35662870553179526,0.2,0.8859891714764163,10
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LGBM Regr.,LGBM Clas.,experimental,True,6,0.9,0.9666666666666666,0.6016187358287552,0.12413016996963395,0.9,0.7675776583241858,10
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LGBM Regr.,LGBM Clas.,experimental,True,6,0.95,0.9666666666666666,0.7168729395297528,0.12413016996963395,0.9,0.8672944117057485,10
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LGBM Regr.,LGBM Clas.,observational,False,1,0.9,0.9,2.564117397311814,0.6748075074539025,1.0,3.211572092656728,10
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LGBM Regr.,LGBM Clas.,observational,False,1,0.95,1.0,3.0553343279413907,0.6748075074539025,1.0,3.6685301941243447,10
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LGBM Regr.,LGBM Clas.,observational,False,4,0.9,0.9333333333333333,3.6314497401813917,1.135290510403337,0.9,4.591536068751408,10
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LGBM Regr.,LGBM Clas.,observational,False,4,0.95,0.9666666666666666,4.327139257743116,1.135290510403337,0.9,5.164689966870119,10
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LGBM Regr.,LGBM Clas.,observational,False,6,0.9,0.9,2.311485371433312,0.6025651661909022,1.0,2.944256005463674,10
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LGBM Regr.,LGBM Clas.,observational,False,6,0.95,1.0,2.7543047019916633,0.6025651661909022,1.0,3.32115409107021,10
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LGBM Regr.,LGBM Clas.,observational,True,1,0.9,1.0,1.159774095087729,0.2556180857092131,1.0,1.4568864048385959,10
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LGBM Regr.,LGBM Clas.,observational,True,1,0.95,1.0,1.381956071548696,0.2556180857092131,1.0,1.6519752896650126,10
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LGBM Regr.,LGBM Clas.,observational,True,4,0.9,0.9333333333333333,1.3002684796757527,0.3050015094584157,1.0,1.6348037247808438,10
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LGBM Regr.,LGBM Clas.,observational,True,4,0.95,0.9666666666666666,1.5493654563782737,0.3050015094584157,1.0,1.8717284730559123,10
24+
LGBM Regr.,LGBM Clas.,observational,True,6,0.9,0.9666666666666666,1.0225970849005845,0.2444184989857893,1.0,1.305407047359292,10
25+
LGBM Regr.,LGBM Clas.,observational,True,6,0.95,1.0,1.2184995821272093,0.2444184989857893,1.0,1.4842057522002559,10
26+
Linear,Logistic,experimental,False,1,0.9,0.8666666666666666,0.2632736921387274,0.08586190204900797,0.8,0.3413446240666038,10
27+
Linear,Logistic,experimental,False,1,0.95,0.9333333333333333,0.31370995340487845,0.08586190204900797,0.9,0.38529167082027993,10
28+
Linear,Logistic,experimental,False,4,0.9,0.3,1.0817308916902049,0.8593353424866175,0.1,1.3746939016404482,10
29+
Linear,Logistic,experimental,False,4,0.95,0.4,1.2889618589385583,0.8593353424866175,0.3,1.5579590830548598,10
30+
Linear,Logistic,experimental,False,6,0.9,0.8333333333333333,1.0683268803526378,0.3323660779211622,0.9,1.3490656766283455,10
31+
Linear,Logistic,experimental,False,6,0.95,0.9333333333333333,1.2729899943060263,0.3323660779211622,0.9,1.5404615209866068,10
32+
Linear,Logistic,experimental,True,1,0.9,0.9,0.2631245503202201,0.08406984540734988,0.8,0.3387436337194215,10
33+
Linear,Logistic,experimental,True,1,0.95,0.9333333333333333,0.31353223996699353,0.08406984540734988,0.9,0.38588941069606797,10
34+
Linear,Logistic,experimental,True,4,0.9,0.3,1.081869575626785,0.8607114497457358,0.1,1.3624602314700855,10
35+
Linear,Logistic,experimental,True,4,0.95,0.4666666666666666,1.2891271110415283,0.8607114497457358,0.3,1.5716251157153072,10
36+
Linear,Logistic,experimental,True,6,0.9,0.8,1.0679763763477195,0.3311340138013665,0.9,1.3471096697431735,10
37+
Linear,Logistic,experimental,True,6,0.95,0.9333333333333333,1.2725723430239788,0.3311340138013665,0.9,1.5417334084201677,10
38+
Linear,Logistic,observational,False,1,0.9,0.8333333333333333,0.2816649382994895,0.07271564074321726,0.9,0.36083833235314666,10
39+
Linear,Logistic,observational,False,1,0.95,0.9666666666666666,0.3356244748645851,0.07271564074321726,0.9,0.4079591535467177,10
40+
Linear,Logistic,observational,False,4,0.9,0.4333333333333333,1.3994251351987763,0.8150159195179807,0.3,1.741311134100631,10
41+
Linear,Logistic,observational,False,4,0.95,0.6,1.6675178989228194,0.8150159195179807,0.5,2.0039775780893656,10
42+
Linear,Logistic,observational,False,6,0.9,0.9,1.0956980944083736,0.3101338106517739,0.9,1.386667166945419,10
43+
Linear,Logistic,observational,False,6,0.95,0.9333333333333333,1.3056048074926598,0.3101338106517739,0.9,1.558225874803193,10
44+
Linear,Logistic,observational,True,1,0.9,0.9666666666666666,0.2798937856932111,0.07210043374255667,0.9,0.36057975492164257,10
45+
Linear,Logistic,observational,True,1,0.95,0.9666666666666666,0.3335140163638711,0.07210043374255667,0.9,0.40431144423970544,10
46+
Linear,Logistic,observational,True,4,0.9,0.4333333333333333,1.3878865436390964,0.8157724009785868,0.4,1.734158677188527,10
47+
Linear,Logistic,observational,True,4,0.95,0.6,1.6537688190541107,0.8157724009785868,0.5,2.0031223112830108,10
48+
Linear,Logistic,observational,True,6,0.9,0.8666666666666666,1.0918235063839146,0.3093097916806968,0.9,1.3809527770014425,10
49+
Linear,Logistic,observational,True,6,0.95,0.9333333333333333,1.300987951099824,0.3093097916806968,0.9,1.5734346850225365,10

‎results/did/did_multi_metadata.csv

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DoubleML Version,Script,Date,Total Runtime (minutes),Python Version,Config File
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0.10.0,DIDMultiCoverageSimulation,2025-06-06 07:07,2.84502333799998,3.12.9,scripts/did/did_pa_multi_config.yml

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