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Tarefa crb_papers.q105

crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T170050Z-suite-crb_papers-scripted-8b13b2

Veredito

passouPassou em todas as verificações obrigatórias.

Família do método (das chamadas de ferramentas): rd (regression discontinuity)

Pergunta feita ao analista

What is the average effect, at very close U.S. House races, of a Democratic victory on the Democratic Party's share of all campaign contributions received in the subsequent election cycle in that district?

Resposta

Estimativa (infer.rdd): effect = 15,18. Reference path transcribed from the item's own estimation script.

Valores esperados e de onde vêm

crb_papers.q105.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 105 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['105'].effect and .standard_error
Trecho
index 105: effect 15.1793, standard_error 6.51999
Valor como publicado
15.179268300881112
Erro-padrão como publicado
6.519994067871143
Valor
15,179315.179268300881112 (se 6,519996.519994067871143)
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: 15,179315.179268300881112 · relativa 0.000001 · absoluta 0.000006519994067871143
  • #3 figura da resposta próxima: 6,519996.519994067871143 · relativa 0.000001 · absoluta 0.000006519994067871143

crb_papers.q105.script

Fonte
CausalReasoningBenchmark reference estimation script for index 105
Tipo
software
Localização
solutions/research_papers/RDD/fouirnaies_hall_2014a/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 3706 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
2c997206770e2350e32f0061f7197af49a6986bccdda9cfdd475c2931f1ca342 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/fouirnaies_hall_2014a/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
    15.1792683 in [2.400079928, 27.95845667]?
    obrigatóriapassou[2.400079927853673,27.95845667390855]15,179315.17926830088115interval · [2.400079927853673, 27.95845667390855]—call_5febf72d
    2figura da resposta próxima
    15.1792683 vs 15.179268300881112
    registradapassou15,179315.17926830088111215,179315.17926830088115relativa 0.000001 · absoluta 0.000006519994067871143crb_papers.q105.goldcall_5febf72d
    3figura da resposta próxima
    6.367324574 vs 6.519994067871143
    registradafalhou6,519996.5199940678711436,367326.367324573928363relativa 0.000001 · absoluta 0.000006519994067871143crb_papers.q105.goldcall_5febf72d

    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.rdd (call_5febf72d)igual
    Argumentos da referência e do agente
    ArgumentoReferênciaAgente
    bandwidth3333igual
    cluster——não fixado pela referência
    cutoff0000igual
    dataset"ref_rd""ref_rd"igual
    kernel"triangular""triangular"igual
    level—0,950.95não fixado pela referência
    polynomial2222igual
    running"rv""rv"igual
    subset——não fixado pela referência
    y"dv_money""dv_money"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

      What is the average effect, at very close U.S. House races, of a Democratic victory on the Democratic Party's share of all campaign contributions received in the subsequent election cycle in that district?

      ds_0071 (agent)

      | Variable Name | Description | |---------------|----------------------------------------------------------------------------------------------------------------| | dv_money | Democratic Party’s share of all campaign contributions received in the subsequent election cycle for a district (percent of combined Democratic and Republican receipts, t+1). | | rv | Democratic two-party vote-share margin in the prior general election for the same district (Democratic share minus 50, in percentage points; negative values indicate a Democratic loss). | Data Description: This file is a pared-down analysis dataset derived from a larger compilation used to study fundraising patterns in U.S. House elections. Each row corresponds to a congressional district–election pair, combining prior election returns with fundraising in the next cycle. The contributions measure aggregates itemized receipts reported to the Federal Election Commission (FEC) by House candidates, summing donations from individuals and political action committees; party committee transfers and candidate self-financing are excluded, and the Democratic share is computed relative to the combined Democratic and Republican totals in that district-cycle. Election returns provide the two-party vote shares from the preceding general election, recorded as the Democratic margin over 50 percent. The broader study covers U.S. House contests primarily from 1980–2006 and focuses on districts with standard two-party competition. Observations in which a third-party candidate placed first or second are removed, and district-years affected by redistricting between elections are omitted to maintain comparability across cycles. Values are recorded in percentage points, with the contribution share referring to the subsequent cycle and the vote-share margin referring to the prior contest.

      file 1a1e60f54978b33a6b01f7f8f66e075bbceefd4c9d0ea297c31f8521eccb53e0 · frame —
      ref_rd (reference)
      file 1a1e60f54978b33a6b01f7f8f66e075bbceefd4c9d0ea297c31f8521eccb53e0 · frame —
      1. select {"columns":["dv_money","rv"]}
      2. dropna {"columns":["dv_money","rv"]}
    2. 1Transformação
      ref_rd · select {"columns":["dv_money","rv"]}
      6533 → 6533 linhas
      Frame antes → depois: dccb508a8671 → dccb508a8671
    3. 2Transformação
      ref_rd · dropna {"columns":["dv_money","rv"]}
      6533 → 4326 linhas
      Frame antes → depois: dccb508a8671 → 69ab4911e142
    4. 3Turno do modelo
      call_f757af9breferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Texto visível

      rdrobust(y[m], x[m], c=0.0, p=1, h=3.0): the script prints the Robust row, tau_bc; with h given and b not, rdrobust sets b = h (rho = 1), and the local linear jump bias-corrected by the quadratic fit at b = h with the same kernel equals the local quadratic jump at h

      Chamadas pedidas
      • infer.rdd
        {
          "bandwidth": 3,
          "cutoff": 0,
          "dataset": "ref_rd",
          "kernel": "triangular",
          "polynomial": 2,
          "running": "rv",
          "y": "dv_money"
        }
    5. 4Ferramenta
      infer.rddv0.1.0call_5febf72ddecidido pelo modeloreexecutável

      Motivo: rdrobust(y[m], x[m], c=0.0, p=1, h=3.0): the script prints the Robust row, tau_bc; with h given and b not, rdrobust sets b = h (rho = 1), and the local linear jump bias-corrected by the quadratic fit at b = h with the same kernel equals the local quadratic jump at h

      Argumentos
      {
        "bandwidth": 3,
        "cluster": null,
        "cutoff": 0,
        "dataset": "ref_rd",
        "kernel": "triangular",
        "level": 0.95,
        "polynomial": 2,
        "running": "rv",
        "subset": null,
        "y": "dv_money"
      }
      Figuras call_5febf72d
      ChaveValorValor brutoErro-padrãoIC
      effect
      Jump in dv_money at the cutoff of rv
      15,1793 15.179268300881156,367326.3673245739283632,69954 – 27,659
      Diagnósticos
      • bandwidth = 33
      • bandwidth_method = "user"
      • n_left = 164164
      • n_right = 165165
      • kernel = "triangular"
      • polynomial = 22
      • bandwidth_sensitive = false
      • n_obs = 4.3264326
      • se_type = "HC1"
      Tabelas (1)
      {
        "sensitivity": [
          {
            "bandwidth": 1.5,
            "ci_high": 34.948630298565504,
            "ci_low": 3.4260191288790818,
            "estimate": 19.187324713722294,
            "multiplier": 0.5,
            "n_left": 90,
            "n_right": 72,
            "se": 8.04163020808871
          },
          {
            "bandwidth": 3,
            "ci_high": 27.658995143657584,
            "ci_low": 2.699541458104715,
            "estimate": 15.17926830088115,
            "multiplier": 1,
            "n_left": 164,
            "n_right": 165,
            "se": 6.367324573928363
          },
          {
            "bandwidth": 6,
            "ci_high": 28.886284945843308,
            "ci_low": 10.057513470533278,
            "estimate": 19.471899208188294,
            "multiplier": 2,
            "n_left": 340,
            "n_right": 336,
            "se": 4.803346292031124
          }
        ]
      }
      Digests dos dados
      ref_rd 69ab4911e142e32fdbac7d17481e4aa251fb5866da0c27165811ac34e91818e0
      sha256 do resultado
      2ca90538118f0ed9a3d581dabc94492913098f1df727c95a3258a399ed50775a
    6. 5Turno do modelo
      call_5a6ff73freferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Chamadas pedidas
      • submit_answer (meta-ferramenta)
        {
          "answer": "Estimativa (infer.rdd): effect = 15,18. Reference path transcribed from the item's own estimation script.",
          "caveats": [],
          "figure_refs": [
            "call_5febf72d:effect"
          ]
        }
    7. 6Guarda
      resposta aceita
      Números encontrados
      15,18
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    8. 7Resposta

      Estimativa (infer.rdd): effect = 15,18. Reference path transcribed from the item's own estimation script.

      Figuras citadas: call_5febf72d:effect · Parada: answered
      Figura da resposta: call_5febf72d:effect = 15,179315.17926830088115 (se 6,367326.367324573928363)
    9. 8Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    10. 9Pontuação
      #1figura da resposta próximapassouobrigatória15.1792683 in [2.400079928, 27.95845667]?
    11. 10Pontuação
      #2figura da resposta próximapassouregistrada15.1792683 vs 15.179268300881112
    12. 11Pontuação
      #3figura da resposta próximafalhouregistrada6.367324574 vs 6.519994067871143

    Épocas × verificações

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

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

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