{
  "schema": "did-replication-v2",
  "config": {
    "outcomes": [
      "y"
    ],
    "treatments": [
      "d"
    ],
    "unit": "unit",
    "time": "time",
    "cluster": "cluster",
    "covariates": [],
    "baseline_by_time": [],
    "weight": null,
    "period_step": 1,
    "period_values": null,
    "display_window": [
      -10,
      10
    ],
    "seed": 20261008,
    "panelview_max_units": 100,
    "test_mode": "classical",
    "test_horizon": null,
    "post_horizon": null,
    "post_weighting": "observations",
    "sample_query": null,
    "reversal_policy": "drop_post_untreated",
    "labels": {
      "y": "",
      "d": ""
    },
    "allow_repeated_cells": true,
    "time_fe": null,
    "unit_fe": null,
    "frequency_weights": false,
    "source_sd": null,
    "require_never_control_periods": false,
    "latest_cohort_control": true,
    "slug": "s22-p082",
    "study_id": 22,
    "study": "Corruption as a Local Advantage",
    "citation": "Rexer (2025), AER. https://doi.org/10.1257/aer.20220528",
    "description": "REXER-T6-PB-OTHER-C5-HOLD",
    "source_specification_id": "REXER-T6-PB-OTHER-C5-HOLD",
    "specification_id": "S22-P082",
    "data": "repl-archives/twfe-microdata-replication-private/outputs/expansion_nigerian_oil_2026_10_06/validation/native_inputs/REXER-T6-PB-OTHER-C5-HOLD.csv",
    "output_dir": "analyses/full-archive/results/S22-P082"
  },
  "source": {
    "file": "REXER-T6-PB-OTHER-C5-HOLD.csv",
    "bytes": 502571,
    "sha256": "61f16b46d13118f31a8cb985e4acf6d22fc34e11856e0b82863be9d3c0e7a82c"
  },
  "versions": {
    "pyfixest": "0.60.0",
    "polars": "2.0.0",
    "duckreg": "0.4.1",
    "numpy": "2.5.3",
    "pandas": "3.0.6"
  },
  "specifications": {
    "y__d": {
      "sample": {
        "outcome": "y",
        "treatment": "d",
        "source_rows": 3183,
        "source_sd": 4.900880408819968,
        "rows": 546,
        "units": 56,
        "clusters": 56,
        "treated_units": 3,
        "never_treated_units": 53,
        "treated_cohorts": 3,
        "latest_cohort_control_index": null,
        "unique_unit_period_cells": 546,
        "unsupported_prediction_rows_removed": 0,
        "rows_without_never_control_time_fe_removed": 0,
        "initially_treated_units_removed": 251,
        "post_adoption_untreated_rows_removed": 1151,
        "units_without_minus_one_removed": 0,
        "additional_rows_removed": 7
      },
      "estimates": [
        {
          "method": "Static TWFE",
          "estimate": -0.1728203499337184,
          "se": 0.07000859519683533,
          "pvalue": 0.01670225179277695,
          "lower": -0.31312070992333774,
          "upper": -0.03251998994409902
        },
        {
          "method": "Dynamic TWFE",
          "estimate": -0.1373333571595056,
          "se": 0.0644003479936827,
          "pvalue": 0.03744592267406797,
          "lower": -0.266394538598251,
          "upper": -0.008272175720760194
        },
        {
          "method": "BJS / did2s",
          "estimate": -0.14449761481872117,
          "se": 0.06370666318714992,
          "pvalue": 0.02726667593706126,
          "lower": -0.2721686208396876,
          "upper": -0.016826608797754744
        },
        {
          "method": "Sun\u2013Abraham",
          "estimate": -0.13636564414696845,
          "se": 0.03644210779072747,
          "pvalue": 0.0004377586345747907,
          "lower": -0.20939726015703658,
          "upper": -0.06333402813690032
        }
      ],
      "event_studies": {
        "Dynamic TWFE": [
          {
            "event_time": -3,
            "estimate": 0.17564156803680267,
            "se": 0.06167025635153442,
            "pvalue": 0.006174389209259139,
            "lower": 0.05205161251140583,
            "upper": 0.2992315235621995
          },
          {
            "event_time": -2,
            "estimate": 0.06080987648349902,
            "se": 0.049861965011015856,
            "pvalue": 0.22783424724761248,
            "lower": -0.03911573438137321,
            "upper": 0.16073548734837123
          },
          {
            "event_time": 0,
            "estimate": -0.12742800829009265,
            "se": 0.0441581345571339,
            "pvalue": 0.0055687512255395135,
            "lower": -0.215922887489097,
            "upper": -0.038933129091088314
          },
          {
            "event_time": 1,
            "estimate": -0.1832630329028037,
            "se": 0.04526111471201457,
            "pvalue": 0.00016247391004401275,
            "lower": -0.2739683337272681,
            "upper": -0.09255773207833932
          },
          {
            "event_time": 2,
            "estimate": 0.009029131989452538,
            "se": 0.18719710638382067,
            "pvalue": 0.9617050463513958,
            "lower": -0.36612225250586644,
            "upper": 0.38418051648477153
          },
          {
            "event_time": 3,
            "estimate": -0.36791503057906455,
            "se": 0.09109970830354384,
            "pvalue": 0.00016813070966388512,
            "lower": -0.5504829257639444,
            "upper": -0.18534713539418465
          }
        ],
        "BJS / did2s": [
          {
            "event_time": -3,
            "estimate": 0.08523033748058875,
            "se": 0.03117801591124359,
            "pvalue": 0.008408743816308888,
            "lower": 0.02274819734035506,
            "upper": 0.14771247762082246
          },
          {
            "event_time": -2,
            "estimate": -0.010566214058751326,
            "se": 0.022863419715269218,
            "pvalue": 0.6458003615103104,
            "lower": -0.056385531067286804,
            "upper": 0.03525310294978415
          },
          {
            "event_time": -1,
            "estimate": -0.021396089236721115,
            "se": 0.025515396654310633,
            "pvalue": 0.405348253911151,
            "lower": -0.07253008679534566,
            "upper": 0.029737908321903428
          },
          {
            "event_time": 0,
            "estimate": -0.14732626105767793,
            "se": 0.0494844284855162,
            "pvalue": 0.004318737984814245,
            "lower": -0.24649527181812148,
            "upper": -0.0481572502972344
          },
          {
            "event_time": 1,
            "estimate": -0.17062121164302677,
            "se": 0.05324193769351075,
            "pvalue": 0.0022521872521137232,
            "lower": -0.2773204391299127,
            "upper": -0.06392198415614082
          },
          {
            "event_time": 2,
            "estimate": 0.023017210436327592,
            "se": 0.19093428789808534,
            "pvalue": 0.9044864489906811,
            "lower": -0.3596236531768581,
            "upper": 0.4056580740495133
          },
          {
            "event_time": 3,
            "estimate": -0.4187941329633373,
            "se": 0.07760369255346221,
            "pvalue": 1.4843957288412474e-06,
            "lower": -0.5743154081890779,
            "upper": -0.2632728577375967
          }
        ],
        "Sun\u2013Abraham": [
          {
            "event_time": -3,
            "estimate": 0.15021574854962216,
            "se": 0.08411794839632439,
            "pvalue": 0.0796491323239986,
            "lower": -0.01836038711501728,
            "upper": 0.31879188421426163
          },
          {
            "event_time": -2,
            "estimate": 0.021941156511001526,
            "se": 0.051235078131790686,
            "pvalue": 0.6701453118845976,
            "lower": -0.08073623454042538,
            "upper": 0.12461854756242842
          },
          {
            "event_time": 0,
            "estimate": -0.12568010512827965,
            "se": 0.03624034082903633,
            "pvalue": 0.001026064810903772,
            "lower": -0.1983073711113305,
            "upper": -0.05305283914522878
          },
          {
            "event_time": 1,
            "estimate": -0.17123030933268735,
            "se": 0.0492441983816901,
            "pvalue": 0.0009976564443384519,
            "lower": -0.26991788820676915,
            "upper": -0.07254273045860553
          },
          {
            "event_time": 2,
            "estimate": 0.02262373619468372,
            "se": 0.062184995866773236,
            "pvalue": 0.7173921644873746,
            "lower": -0.10199778037098026,
            "upper": 0.1472452527603477
          },
          {
            "event_time": 3,
            "estimate": -0.41667169151490135,
            "se": 0.07703245546388401,
            "pvalue": 1.4185481077188957e-06,
            "lower": -0.5710481820312515,
            "upper": -0.2622952009985512
          }
        ]
      },
      "target": {
        "event_times": [
          0.0,
          1.0,
          2.0,
          3.0
        ],
        "weights": [
          0.375,
          0.25,
          0.25,
          0.125
        ],
        "weighting": "observations"
      },
      "checks": {
        "did2s_vs_direct_imputation_max_post_difference": 5.551115123125783e-17,
        "package_aggregate_vs_estimable_cell_weights": 0.0,
        "saturated_vs_deviations_relative_rss_difference": 1.8307754093291986e-15
      },
      "inference": {
        "standard_errors": "Cluster-robust; did2s uses two-stage covariance",
        "confidence_intervals": "Pointwise t, clusters minus one degrees of freedom"
      },
      "f_test": {
        "F": 0.3361732539508196,
        "df_num": 2,
        "df_den": 469,
        "pvalue": 0.7146713307312601,
        "log10_pvalue": -0.14589363941128095,
        "inference": "Homoskedastic nested-model F",
        "observations": 546,
        "design_columns": 11,
        "restricted_design_columns": 9,
        "fixed_effect_rank": 66,
        "covariance_rank": 2,
        "rss_unrestricted": 54.33543759628174,
        "rss_restricted": 54.41333150187485,
        "test_horizon": null,
        "reference_cohort": 8,
        "pyfixest": "0.27.0",
        "formulaic": "1.0.2",
        "design_head": {
          "index": [
            0,
            1,
            2,
            3,
            4
          ],
          "columns": [
            "C(rel_time, contr.treatment(base=-1.0))[T.-3.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.-2.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.0.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.1.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.2.0]",
            "C(rel_time, contr.treatment(base=-1.0))[T.3.0]"
          ],
          "data": [
            [
              3.101927297073854e-25,
              -1.9387045606711586e-26,
              -5.169878828456423e-26,
              -1.550963648536927e-25,
              -1.9387045606711586e-26,
              2.0679515313825692e-25
            ],
            [
              -6.32765215741514e-13,
              -1.275149585604588e-13,
              1.7769151313824687e-13,
              8.104567564056175e-13,
              1.2691253247888016e-13,
              1.1028708126720622e-12
            ],
            [
              -1.975745421788644e-12,
              -3.981498287094274e-13,
              5.548103607688256e-13,
              2.5305558569130837e-12,
              3.9626908809605165e-13,
              3.443592979553998e-12
            ],
            [
              -1.975745421788644e-12,
              -3.981498287094274e-13,
              5.548103607688256e-13,
              2.5305558569130837e-12,
              3.9626908809605165e-13,
              3.443592979553998e-12
            ],
            [
              -8.336676211317725e-12,
              -1.6799592848847348e-12,
              2.3408404024114793e-12,
              1.0677516842894456e-11,
              1.672026634773367e-12,
              1.4530138400925566e-11
            ]
          ]
        },
        "formula": "y~i(rel_time,ref=-1.0)+i(rel_time,cohort_dummy_9,ref=-1.0)+i(rel_time,cohort_dummy_11,ref=-1.0)|unit_fe+time_fe",
        "restriction_names": [
          "C(rel_time, contr.treatment(base=-1.0))[T.1.0]:cohort_dummy_9",
          "C(rel_time, contr.treatment(base=-1.0))[T.2.0]:cohort_dummy_9"
        ],
        "deviations": [
          {
            "event_time": 0.0,
            "cohort": 9,
            "estimate": -0.028923874723669692
          },
          {
            "event_time": 1.0,
            "cohort": 9,
            "estimate": 0.04202912156609084
          },
          {
            "event_time": 2.0,
            "cohort": 9,
            "estimate": 0.5089999648808974
          },
          {
            "event_time": -2.0,
            "cohort": 11,
            "estimate": 0.03538043923797404
          },
          {
            "event_time": 0.0,
            "cohort": 11,
            "estimate": -0.10313494757299344
          }
        ]
      }
    }
  },
  "code_sha256": {
    "replication_engine.py": "4d1c3ebb7851c82ad64d9ac8e54247610500cbb6d72e579ec3a30184da092d06",
    "reference_f_test.py": "9cf8f31eeda89784ac1750ea22c35401ae46e24e06279acf938d2d103b78cccf",
    "sparse_did2s.py": "75169d7fbba6e1bad163e564ac9b5b1262a04033eda925dc379dc3eef64c59fa",
    "frequency.py": "8f922ae4be2b63ad9b89515d8e665cda4e11a354258b54ef3b820648243642eb",
    "sparse_models.py": "538c06b81a46a104838d662d6e6489d0d2daa7f680fd234049f28c97c87ef555"
  }
}