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Tarefa crb_papers.q085

crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T171027Z-suite-crb_papers-naive-54c3f2

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
6.06208231 in [-0.03811072481, 4.425126061]?

Família do método (das chamadas de ferramentas): ols (regression)

Pergunta feita ao analista

Among federal deputy candidates in very close races, what is the effect of being elected versus not elected on the subsequent log average value of direct federal government contracts received by their corporate donor firms during 2008-2010?

Resposta

Estimativa ingênua (infer.ols): coef.elected = 6,062.

Valores esperados e de onde vêm

crb_papers.q085.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 85 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['85'].effect and .standard_error
Trecho
index 85: effect 2.19351, standard_error 1.13858
Valor como publicado
2.193507668036073
Erro-padrão como publicado
1.138580812675392
Valor
2,193512.193507668036073 (se 1,138581.138580812675392)
Conferido por
arquivo do benchmark · Read from the catalog at the pinned revision by scripts/freeze_crb_papers.py; the catalog states the value its estimation script prints.
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/causal_queries.json
Licença
MIT
  • #2 figura da resposta próxima: 2,193512.193507668036073 · relativa 0.000001 · absoluta 0.000001138580812675392
  • #3 figura da resposta próxima: 1,138581.138580812675392 · relativa 0.000001 · absoluta 0.000001138580812675392

crb_papers.q085.script

Fonte
CausalReasoningBenchmark reference estimation script for index 85
Tipo
software
Localização
solutions/research_papers/RDD/boas_etal_2014/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 1401 bytes at the pinned revision; the reference path of the item is a transcription of this script into typed transforms and tool calls (never executed here).
Implementação
independente da ferramenta
sha256 da cópia lida
ea7ace1c7ac13b3d73ab0d30d546948b94083ea46e99d9931308d743a458cd76 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/boas_etal_2014/question_1/estimation.py
Licença
MIT

    Verificações

    Cada verificação, o que esperava, o que observou e a chamada que leu
    #VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
    0resposta com lastro
    every number backed
    obrigatóriapassou—[]———
    1figura da resposta próxima
    6.06208231 in [-0.03811072481, 4.425126061]?
    obrigatóriafalhou[-0.038110724807695284,4.425126060879841]6,062086.062082309805711interval · [-0.038110724807695284, 4.425126060879841]—call_180ccfe6
    2figura da resposta próxima
    6.06208231 vs 2.193507668036073
    registradafalhou2,193512.1935076680360736,062086.062082309805711relativa 0.000001 · absoluta 0.000001138580812675392crb_papers.q085.goldcall_180ccfe6
    3figura da resposta próxima
    0.3556749806 vs 1.138580812675392
    registradafalhou1,138581.1385808126753920,3556750.3556749806059607relativa 0.000001 · absoluta 0.000001138580812675392crb_papers.q085.goldcall_180ccfe6

    Caminho de referência e caminho do agente

    A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

    caminho de referência do item · benchmark_script

    Referência: infer.rddChamada do agente: infer.ols (call_180ccfe6)diferente
    Argumentos da referência e do agente
    ArgumentoReferênciaAgente
    bandwidth25.00025000—ausente
    cluster——não fixado pela referência
    controls—[]não fixado pela referência
    cutoff00—ausente
    dataset"ref_rd""ds_0054"diferente
    fe—[]não fixado pela referência
    intercept—truenão fixado pela referência
    kernel"triangular"—ausente
    level—0,950.95não fixado pela referência
    polynomial11—ausente
    running"votemargin"—ausente
    se—"HC1"não fixado pela referência
    subset——não fixado pela referência
    weights——não fixado pela referência
    x—["elected"]não fixado pela referência
    y"outcome_var""outcome_var"igual

    Pendências do caminho de referência: needs_op:rdrobust_nn_variance

    Trajetória

    Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

    1. 0Início

      Among federal deputy candidates in very close races, what is the effect of being elected versus not elected on the subsequent log average value of direct federal government contracts received by their corporate donor firms during 2008-2010?

      ds_0054 (agent)

      | Variable Name | Description | |------------------------------|---------------------------------------------------------------------------------------------------------------| | Unnamed: 0 | Row index from the source file | | depfed.id | Candidate identifier (year–state–code) for the 2006 federal deputy election | | uf | State (UF) abbreviation | | party | Candidate’s party abbreviation | | rank | Candidate’s intra-coalition rank by personal votes | | coal | Party/coalition label on the ballot in the state | | coalseats | Number of seats won by the coalition in the state | | name | Candidate’s full name | | elected | Indicator for whether the candidate took office at the start of the term (1=yes, 0=no) | | votes | Candidate’s total personal (nominal) votes | | votemargin | Raw vote difference to the relevant intra-coalition cutoff (votes vs last winner/first loser) | | margin.coalvote | Vote margin expressed as a share of coalition votes | | margin.nomvote | Vote margin expressed as a share of nominal votes in the state | | infl.vote.margin | “Inflated” vote margin measure adjusting for district magnitude differences | | suplencia.days | Days served as a substitute (suplente) during the term | | licenca.days | Days on leave (licença) for a seated deputy during the term | | donations | Total registered corporate donations received in 2006 (reais, 2006 prices) | | contracts.2004 | Direct federal payments to the candidate’s donor firms in 2004 (reais, 2006 prices) | | contracts.2005 | Direct federal payments to the candidate’s donor firms in 2005 (reais, 2006 prices) | | contracts.2006 | Direct federal payments to the candidate’s donor firms in 2006 (reais, 2006 prices) | | contracts.2007 | Direct federal payments to the candidate’s donor firms in 2007 (reais, 2006 prices) | | contracts.2008 | Direct federal payments to the candidate’s donor firms in 2008 (reais, 2006 prices) | | contracts.2009 | Direct federal payments to the candidate’s donor firms in 2009 (reais, 2006 prices) | | contracts.2010 | Direct federal payments to the candidate’s donor firms in 2010 (reais, 2006 prices) | | agriculture | - | | num.contracts08 | Number of direct federal contracts to the candidate’s donor firms in 2008 | | num.contracts09 | Number of direct federal contracts to the candidate’s donor firms in 2009 | | num.contracts10 | Number of direct federal contracts to the candidate’s donor firms in 2010 | | pw.donations | Total donations from public-works sector firms (construction, water/sewage, energy) in 2006 (reais) | | pw.contracts.2004 | Direct federal payments to public-works donor firms in 2004 (reais, 2006 prices) | | pw.contracts.2005 | Direct federal payments to public-works donor firms in 2005 (reais, 2006 prices) | | pw.contracts.2006 | Direct federal payments to public-works donor firms in 2006 (reais, 2006 prices) | | pw.contracts.2007 | Direct federal payments to public-works donor firms in 2007 (reais, 2006 prices) | | pw.contracts.2008 | Direct federal payments to public-works donor firms in 2008 (reais, 2006 prices) | | pw.contracts.2009 | Direct federal payments to public-works donor firms in 2009 (reais, 2006 prices) | | pw.contracts.2010 | Direct federal payments to public-works donor firms in 2010 (reais, 2006 prices) | | pw.agriculture | - | | pw.num.contracts08 | Number of direct federal contracts to public-works donor firms in 2008 | | pw.num.contracts09 | Number of direct federal contracts to public-works donor firms in 2009 | | pw.num.contracts10 | Number of direct federal contracts to public-works donor firms in 2010 | | contracts.0406 | Sum of direct federal payments to donor firms, 2004–2006 (reais, 2006 prices) | | contracts.0810 | Sum of direct federal payments to donor firms, 2008–2010 (reais, 2006 prices) | | pw.con.0810 | Sum of direct federal payments to public-works donor firms, 2008–2010 (reais, 2006 prices) | | pw.con.0406 | Sum of direct federal payments to public-works donor firms, 2004–2006 (reais, 2006 prices) | | donor.firms | Number of corporate donor firms contributing to the candidate in 2006 | | pw.donor.firms | Number of donor firms in public-works industries contributing to the candidate in 2006 | | nondonors.contracts | - | | nondonors.pwcontracts | - | | donoronly02.contracts0810 | - | | donoronly02.pw.con.0810 | - | | voters | Number of registered voters in the candidate’s state (2006) | | contracts.PTmin.0810 | Payments to donor firms, 2008–2010, from ministries headed by PT (reais, 2006 prices) | | pwcontracts.PTmin.0810 | Payments to public-works donor firms, 2008–2010, from ministries headed by PT (reais, 2006 prices) | | contracts.coalmin.0810 | Payments to donor firms, 2008–2010, from ministries headed by coalition partners (reais, 2006 prices) | | pwcontracts.coalmin.0810 | Payments to public-works donor firms, 2008–2010, from ministries headed by coalition partners (reais, 2006 prices) | | contracts.dnit.0810 | Payments to donor firms from DNIT (National Department of Transportation Infrastructure), 2008–2010 (reais) | | donations.dnit | Total registered donations from firms that received DNIT payments (reais, 2006 prices) | | pwcontracts.dnit.0810 | Payments to public-works donor firms from DNIT, 2008–2010 (reais, 2006 prices) | | pw.donations.dnit | Total registered donations from public-works firms that received DNIT payments (reais, 2006 prices) | | donorfirms.dnit | Number of donor firms that received DNIT payments, 2008–2010 | | pw.donorfirms.dnit | Number of public-works donor firms that received DNIT payments, 2008–2010 | | uf_coal | Combined state–coalition identifier | | rank_discont | Distance between candidate’s rank and the coalition’s seat cutoff (negative=below cutoff) | | outcome_var | Log of the average 2008–2010 direct federal payments per donor firm (reais, +1) | Data Description: This file contains candidate-level data for Brazil’s 2006 Chamber of Deputies election linked to firm-level government payment records. Candidate and donation information were taken from the Superior Electoral Tribunal (TSE), including party/coalition labels, personal votes, intra-coalition rank, and officially registered corporate donations. Donor firms were matched to the Ministry of Finance registry (CNPJ and CNAE) to classify industries, with a focus on public-works activities (construction, water/sewage, and energy). Direct federal payments to firms were extracted from the Office of the Comptroller General’s Transparência portal and aggregated to the candidate level by donor list for 2004–2010 (values converted to 2006 reais). The dataset summarizes totals and counts for all donor firms and for the public-works subset, provides windows for 2004–2006 and 2008–2010, and includes tags for payments executed by DNIT and by ministries led by PT or coalition partners. Additional fields capture electorate size by state and service days as substitute or on leave for seated deputies. This structure allows analysts to study patterns of campaign financing and federal contracting around the 2006 election.

      file 450c6ff9e09834c7d350151eb396b90989d7d986192e55378095f0bfeb37a5a8 · frame —
      ref_rd (reference)
      file 450c6ff9e09834c7d350151eb396b90989d7d986192e55378095f0bfeb37a5a8 · frame —
      1. select {"columns":["outcome_var","votemargin"]}
      2. dropna {"columns":["outcome_var","votemargin"]}
    2. 1Turno do modelo
      call_588fc6f8naive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Texto visível

      Linha de base ingênua: regressão do resultado no tratamento, sem controles.

      Chamadas pedidas
      • infer.ols
        {
          "dataset": "ds_0054",
          "x": [
            "elected"
          ],
          "y": "outcome_var"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_180ccfe6decidido pelo modeloreexecutável

      Motivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0054",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "elected"
        ],
        "y": "outcome_var"
      }
      Figuras call_180ccfe6
      ChaveValorValor brutoErro-padrãoIC
      coef.elected
      Coefficient on elected in the regression of outcome_var
      6,06208 6.0620823098057110,3556750.35567498060596075,36441 – 6,75975
      Diagnósticos
      • n_obs = 1.5041504
      • k = 22
      • r2 = 0,139160.13916046721542752
      • df_resid = 1.5021502
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 6.686668942136499,
            "ci_low": 5.8563901689138556,
            "coef": 6.271529555525177,
            "p": 2.412687497432933e-152,
            "se": 0.21163902016613897,
            "t": 29.633143976011404,
            "term": "Intercept"
          },
          {
            "ci_high": 6.759754663258499,
            "ci_low": 5.364409956352923,
            "coef": 6.062082309805711,
            "p": 1.095490817947876e-59,
            "se": 0.3556749806059607,
            "t": 17.043881746975256,
            "term": "elected"
          }
        ]
      }
      Digests dos dados
      ds_0054 576276515be0a21f031e0dfac5aca20e6617545eb6e8dd56d2d7de10d144f309
      sha256 do resultado
      40efcc328a8ee409ddc4f6c68011ae07f79de1f1984f5edb166c49b1f5eb5e8f
    4. 3Turno do modelo
      call_9522bca1naive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Chamadas pedidas
      • submit_answer (meta-ferramenta)
        {
          "answer": "Estimativa ingênua (infer.ols): coef.elected = 6,062.",
          "caveats": [],
          "figure_refs": [
            "call_180ccfe6:coef.elected"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      6,062
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.elected = 6,062.

      Figuras citadas: call_180ccfe6:coef.elected · Parada: answered
      Figura da resposta: call_180ccfe6:coef.elected = 6,062086.062082309805711 (se 0,3556750.3556749806059607)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória6.06208231 in [-0.03811072481, 4.425126061]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada6.06208231 vs 2.193507668036073
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.3556749806 vs 1.138580812675392

    Épocas × verificações

    Resultado de cada verificação em cada época pontuada
    #0123
    Época 1passoufalhoufalhoufalhou

    Tentativas

    Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

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