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Tarefa crb_papers.q106

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
0.9071328513 in [17.18258418, 22.75958678]?

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

Pergunta feita ao analista

What is the average effect of party incumbency on the Democratic Party's share of total campaign contributions in the subsequent election cycle among state legislative districts with very close prior elections?

Resposta

Estimativa ingênua (infer.ols): coef.rv = 0,9071.

Valores esperados e de onde vêm

crb_papers.q106.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 106 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['106'].effect and .standard_error
Trecho
index 106: effect 19.9711, standard_error 1.4227
Valor como publicado
19.971085479597754
Erro-padrão como publicado
1.42270474498977
Valor
19,971119.971085479597754 (se 1,42271.42270474498977)
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: 19,971119.971085479597754 · relativa 0.000001 · absoluta 0.00000142270474498977
  • #3 figura da resposta próxima: 1,42271.42270474498977 · relativa 0.000001 · absoluta 0.00000142270474498977

crb_papers.q106.script

Fonte
CausalReasoningBenchmark reference estimation script for index 106
Tipo
software
Localização
solutions/research_papers/RDD/fouirnaies_hall_2014b/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 2374 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
bf30201b8e12347ef7185fea9337bf033023969bc2f142f50bc2dbcede0c904d (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/fouirnaies_hall_2014b/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
    0.9071328513 in [17.18258418, 22.75958678]?
    obrigatóriafalhou[17.182584179417805,22.759586779777703]0,9071330.9071328513061394interval · [17.182584179417805, 22.759586779777703]—call_ff3779fe
    2figura da resposta próxima
    0.9071328513 vs 19.971085479597754
    registradafalhou19,971119.9710854795977540,9071330.9071328513061394relativa 0.000001 · absoluta 0.00000142270474498977crb_papers.q106.goldcall_ff3779fe
    3figura da resposta próxima
    0.004745346354 vs 1.42270474498977
    registradafalhou1,42271.422704744989770,004745350.00474534635436816relativa 0.000001 · absoluta 0.00000142270474498977crb_papers.q106.goldcall_ff3779fe

    Caminho de referência e caminho do agente

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

    Nenhum caminho de referência registrado para esta tarefa.

    Trajetória

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

    1. 0Início

      What is the average effect of party incumbency on the Democratic Party's share of total campaign contributions in the subsequent election cycle among state legislative districts with very close prior elections?

      ds_0072 (agent)

      | Variable Name | Description | |---------------|------------------------------------------------------------------------------------------------------------------------------------------------------------| | (index) | Row identifier created during CSV export; no substantive meaning. | | dv_money | Democratic Party’s share of total campaign contributions in the same district in the subsequent election cycle (percentage points, 0–100); excludes candidate self-financing and party-committee funds, derived from FollowTheMoney records for state legislative general elections. | | rv | Democratic two-party vote-share margin in the referenced election (percentage points; Democratic share minus 50), where positive values indicate a Democratic advantage. | Data Description: This dataset records campaign finance surrounding U.S. state legislative elections. It is built by merging district-level general election returns with donation data maintained by the National Institute on Money in State Politics (FollowTheMoney) for 1990–2010. The merge uses state, chamber (upper/lower), year, and district number. Races in which a third-party candidate placed first or second were removed, and observations where the next cycle occurred under new district lines were excluded to maintain consistent district boundaries. Contributions are compiled at the district–election level and classified from individual and organizational donors as reported to state disclosure agencies. Candidate self-financing and party-committee funds are excluded, and monetary aggregates in the source study were adjusted to constant 1990 dollars using the CPI (the variable here is a percentage share). The column dv_money records the Democratic share of total contributions received in the next election cycle within the same district, while rv records the Democratic two-party vote-share margin from the referenced election, providing a measure of the party’s prior electoral standing in that district.

      file 9a673ada692580e12e745a742f61b8906d181a8534796a640daf8eef4aafa504 · frame —
    2. 1Turno do modelo
      call_db31b178naive-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_0072",
          "x": [
            "rv"
          ],
          "y": "dv_money"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_ff3779fedecidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0072",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "rv"
        ],
        "y": "dv_money"
      }
      Figuras call_ff3779fe
      ChaveValorValor brutoErro-padrãoIC
      coef.rv
      Coefficient on rv in the regression of dv_money
      0,907133 0.90713285130613940,004745350.004745346354368160,897832 – 0,916434
      Diagnósticos
      • n_obs = 27.20327203
      • k = 22
      • r2 = 0,5196620.5196618869625949
      • df_resid = 27.20127201
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 49.40314238802757,
            "ci_low": 48.75089915519103,
            "coef": 49.0770207716093,
            "p": 0,
            "se": 0.16638423335648103,
            "t": 294.96196713820206,
            "term": "Intercept"
          },
          {
            "ci_high": 0.9164339731271921,
            "ci_low": 0.8978317294850867,
            "coef": 0.9071328513061394,
            "p": 0,
            "se": 0.00474534635436816,
            "t": 191.1626219803978,
            "term": "rv"
          }
        ]
      }
      • 5467 rows were dropped because one of 'dv_money', 'rv' was missing
      Digests dos dados
      ds_0072 ba45942c1035889e069a08dd54f2d1ccad01beac12c0d1934e124053fa44abaf
      sha256 do resultado
      a016f5217a75db771f91dbc38c77235c98df7a78051e355a660af915b8bd11dc
    4. 3Turno do modelo
      call_3bc4ad59naive-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.rv = 0,9071.",
          "caveats": [],
          "figure_refs": [
            "call_ff3779fe:coef.rv"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      0,9071
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.rv = 0,9071.

      Figuras citadas: call_ff3779fe:coef.rv · Parada: answered
      Figura da resposta: call_ff3779fe:coef.rv = 0,9071330.9071328513061394 (se 0,004745350.00474534635436816)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória0.9071328513 in [17.18258418, 22.75958678]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada0.9071328513 vs 19.971085479597754
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.004745346354 vs 1.42270474498977

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    #0123
    Época 1passoufalhoufalhoufalhou

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