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Tarefa crb_papers.q062

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
0.4579977374 in [-0.136946231, 0.05658336084]?

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

Pergunta feita ao analista

Did Zhejiang counties historically classified as marginal-faction counties experience larger increases in the non-state (collective and private) share of industrial output from 1965 to 1998 than dominant-faction counties?

Resposta

Estimativa ingênua (infer.ols): coef.mfc1998 = 0,4580.

Valores esperados e de onde vêm

crb_papers.q062.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 62 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['62'].effect and .standard_error
Trecho
index 62: effect -0.0401814, standard_error 0.0493698
Valor como publicado
-0.04018143506236438
Erro-padrão como publicado
0.04936979382899201
Valor
-0,0401814-0.04018143506236438 (se 0,04936980.04936979382899201)
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: -0,0401814-0.04018143506236438 · relativa 0.000001 · absoluta 4.936979382899201e-8
  • #3 figura da resposta próxima: 0,04936980.04936979382899201 · relativa 0.000001 · absoluta 4.936979382899201e-8

crb_papers.q062.script

Fonte
CausalReasoningBenchmark reference estimation script for index 62
Tipo
software
Localização
solutions/research_papers/DiD/Zhang_etal_2021/question_2/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 1133 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
0c76df091ec01b14c0648eee2cc352b1dbb1b7f491e2d57ffc598dd61fe56449 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/DiD/Zhang_etal_2021/question_2/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
    0.4579977374 in [-0.136946231, 0.05658336084]?
    obrigatóriafalhou[-0.13694623096718872,0.05658336084245996]0,4579980.45799773742076827interval · [-0.13694623096718872, 0.05658336084245996]—call_6d7b1db3
    2figura da resposta próxima
    0.4579977374 vs -0.04018143506236438
    registradafalhou-0,0401814-0.040181435062364380,4579980.45799773742076827relativa 0.000001 · absoluta 4.936979382899201e-8crb_papers.q062.goldcall_6d7b1db3
    3figura da resposta próxima
    0.02539133859 vs 0.04936979382899201
    registradafalhou0,04936980.049369793828992010,02539130.025391338587386relativa 0.000001 · absoluta 4.936979382899201e-8crb_papers.q062.goldcall_6d7b1db3

    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.olsChamada do agente: infer.ols (call_6d7b1db3)igual
    Argumentos da referência e do agente
    ArgumentoReferênciaAgente
    cluster——não fixado pela referência
    controls—[]não fixado pela referência
    dataset"ref_panel""ds_0032"diferente
    fe—[]não fixado pela referência
    intercept—truenão fixado pela referência
    level—0,950.95não fixado pela referência
    se"HC1""HC1"igual
    subset——não fixado pela referência
    weights——não fixado pela referência
    x["treated"]["mfc1998"]diferente
    y"delta""nonsoe"diferente

    Trajetória

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

    1. 0Início

      Did Zhejiang counties historically classified as marginal-faction counties experience larger increases in the non-state (collective and private) share of industrial output from 1965 to 1998 than dominant-faction counties?

      ds_0032 (agent)

      | Variable Name | Description | | --- | --- | | countyid | Numeric identifier for a county in Zhejiang province, China. The same identifier links its observations across years. | | year | Calendar year. The file contains rows for 1952, 1957, 1965, 1978, and 1998. The nonsoe outcome is observed only in 1965, 1978, and 1998. | | nonsoe | Share of county industrial output produced by collective and private firms, on a 0–1 scale. Calculated as total industrial output minus state-owned industrial output, divided by total industrial output. | | mfc1978 | Indicator equal to 1 for a historically classified marginal-faction county in 1978, and 0 otherwise. This column combines the county's historical classification with the year being 1978; its zeros in other years do not mean that the historical classification changed. | | mfc1998 | Indicator equal to 1 for a historically classified marginal-faction county in 1998, and 0 otherwise. This column combines the same historical county classification with the year being 1998. | Dataset Context: This extract contains 61 counties in Zhejiang province, with 305 county-year rows. Industrial statistics were compiled from provincial statistical records. The non-state sector includes collective and private firms. Non-state industrial-output shares are unavailable in the file for 1952 and 1957; the numbers of counties with observed shares are 52 in 1965, 53 in 1978, and 61 in 1998. Reporting was disrupted during the Cultural Revolution, so the observations are benchmark years rather than a continuous annual series. Historical county classifications were constructed from organizational histories and county gazetteers. In Zhejiang, counties maintaining independent guerrilla forces during 1945–1948 were classified as marginal-faction counties, reflecting the subsequent marginalization of those local political elites within the provincial power structure. Other counties form the dominant-faction category. This historical classification is constant for a county; 1978 and 1998 in the two column names identify observation years, not dates when the classification was introduced. The county-level classification can be recovered from either column's value in its named year.

      file 6eede5a4f1540d2b6513ec2483909477a548f32e838e4e0bb0a385ab6edde649 · frame —
      ref_panel (reference)
      file 6eede5a4f1540d2b6513ec2483909477a548f32e838e4e0bb0a385ab6edde649 · frame —
      1. select {"columns":["countyid","year","nonsoe","mfc1998"]}
      2. filter {"query":"year in [1965, 1998]"}
      3. dropna {"columns":["nonsoe"]}
      4. filter {"query":"year == 1965"}
      5. rename {"map":{"nonsoe":"y_pre"}}
      6. select {"columns":["countyid","y_pre"]}
      7. merge {"how":"inner","on":["countyid"],"with":"ref_post"}
      8. merge {"how":"inner","on":["countyid"],"with":"ref_treat"}
      9. derive {"args":{"left":"y_post","right":"y_pre"},"name":"delta","op":"diff"}
      ref_post (reference)
      file 6eede5a4f1540d2b6513ec2483909477a548f32e838e4e0bb0a385ab6edde649 · frame —
      1. select {"columns":["countyid","year","nonsoe","mfc1998"]}
      2. filter {"query":"year in [1965, 1998]"}
      3. dropna {"columns":["nonsoe"]}
      4. filter {"query":"year == 1998"}
      5. rename {"map":{"nonsoe":"y_post"}}
      6. select {"columns":["countyid","y_post"]}
      ref_treat (reference)
      file 6eede5a4f1540d2b6513ec2483909477a548f32e838e4e0bb0a385ab6edde649 · frame —
      1. select {"columns":["countyid","year","nonsoe","mfc1998"]}
      2. filter {"query":"year in [1965, 1998]"}
      3. dropna {"columns":["nonsoe"]}
      4. collapse {"aggs":[{"column":"mfc1998","fn":"max","name":"treated"}],"by":["countyid"]}
    2. 1Turno do modelo
      call_5ef4d85fnaive-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_0032",
          "x": [
            "mfc1998"
          ],
          "y": "nonsoe"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_6d7b1db3decidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0032",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "mfc1998"
        ],
        "y": "nonsoe"
      }
      Figuras call_6d7b1db3
      ChaveValorValor brutoErro-padrãoIC
      coef.mfc1998
      Coefficient on mfc1998 in the regression of nonsoe
      0,457998 0.457997737420768270,02539130.0253913385873860,407862 – 0,508134
      Diagnósticos
      • n_obs = 166166
      • k = 22
      • r2 = 0,4247620.4247618056983046
      • df_resid = 164164
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 0.5389393797910184,
            "ci_low": 0.4455780732834369,
            "coef": 0.49225872653722763,
            "p": 6.559188187095363e-48,
            "se": 0.023641345066593843,
            "t": 20.821942455076666,
            "term": "Intercept"
          },
          {
            "ci_high": 0.5081338133888914,
            "ci_low": 0.40786166145264513,
            "coef": 0.45799773742076827,
            "p": 8.898474166860896e-41,
            "se": 0.025391338587386,
            "t": 18.037557801237547,
            "term": "mfc1998"
          }
        ]
      }
      • 139 rows were dropped because one of 'nonsoe', 'mfc1998' was missing
      Digests dos dados
      ds_0032 d968a5cceb7387dfcf5153bfe5e1876630c69be2c664e800087e67bfc12a9a0b
      sha256 do resultado
      822e7362250149584c89fc04e11cf3f3a2c29141cadef9f3771925f9d441e80c
    4. 3Turno do modelo
      call_6f4d5d83naive-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.mfc1998 = 0,4580.",
          "caveats": [],
          "figure_refs": [
            "call_6d7b1db3:coef.mfc1998"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      0,4580
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.mfc1998 = 0,4580.

      Figuras citadas: call_6d7b1db3:coef.mfc1998 · Parada: answered
      Figura da resposta: call_6d7b1db3:coef.mfc1998 = 0,4579980.45799773742076827 (se 0,02539130.025391338587386)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória0.4579977374 in [-0.136946231, 0.05658336084]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada0.4579977374 vs -0.04018143506236438
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.02539133859 vs 0.04936979382899201

    Épocas × verificações

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

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