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Tarefa crb_papers.q028

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

Veredito

passouPassou em todas as verificações obrigatórias.

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

Pergunta feita ao analista

Among municipalities that switched to council decision-making in 2006, how large was the change in the ordinary naturalization rate from 2005 to 2007 compared with municipalities still using citizen referendums in 2007?

Resposta

Estimativa ingênua (infer.ols): coef.indirect = 1,108.

Valores esperados e de onde vêm

crb_papers.q028.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 28 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['28'].effect and .standard_error
Trecho
index 28: effect 1.23663, standard_error 0.618976
Valor como publicado
1.236634786812406
Erro-padrão como publicado
0.6189762112257445
Valor
1,236631.236634786812406 (se 0,6189760.6189762112257445)
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: 1,236631.236634786812406 · relativa 0.000001 · absoluta 6.189762112257445e-7
  • #3 figura da resposta próxima: 0,6189760.6189762112257445 · relativa 0.000001 · absoluta 6.189762112257445e-7

crb_papers.q028.script

Fonte
CausalReasoningBenchmark reference estimation script for index 28
Tipo
software
Localização
solutions/research_papers/DiD/Hainmueller_Hangartner_2019/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 1944 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
2d3188b38fb50425ba19bdf98f85aac37b750215451fd0a6449887a1455e85c8 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/DiD/Hainmueller_Hangartner_2019/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
    1.107542777 in [0.02344141281, 2.449828161]?
    obrigatóriapassou[0.023441412809946716,2.449828160814865]1,107541.1075427774305522interval · [0.023441412809946716, 2.449828160814865]—call_a44b7a7f
    2figura da resposta próxima
    1.107542777 vs 1.236634786812406
    registradafalhou1,236631.2366347868124061,107541.1075427774305522relativa 0.000001 · absoluta 6.189762112257445e-7crb_papers.q028.goldcall_a44b7a7f
    3figura da resposta próxima
    0.06451484469 vs 0.6189762112257445
    registradafalhou0,6189760.61897621122574450,06451480.06451484468650168relativa 0.000001 · absoluta 6.189762112257445e-7crb_papers.q028.goldcall_a44b7a7f

    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_a44b7a7f)igual
    Argumentos da referência e do agente
    ArgumentoReferênciaAgente
    cluster"bfs"—diferente
    controls["group_treated","post"][]diferente
    dataset"ref_panel""ds_0015"diferente
    fe—[]não fixado pela referência
    intercept—truenão fixado pela referência
    level—0,950.95não fixado pela referência
    se—"HC1"não fixado pela referência
    subset——não fixado pela referência
    weights——não fixado pela referência
    x["g_post"]["indirect"]diferente
    y"nat_rate_ord""nat_rate_ord"igual

    Trajetória

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

    1. 0Início

      Among municipalities that switched to council decision-making in 2006, how large was the change in the ordinary naturalization rate from 2005 to 2007 compared with municipalities still using citizen referendums in 2007?

      ds_0015 (agent)

      | Variable Name | Description | | --- | --- | | bfs | Swiss Federal Statistical Office (BFS) municipality code: a stable numeric identifier for each municipality in the panel. | | year | Calendar year of the observation (1991–2009). Institutional status is referenced as of January 1 of the given year, and annual rates are computed for the same year. | | nat_rate_ord | Ordinary naturalization rate (percent). Computed as the number of ordinary naturalizations recorded during the year divided by the stock of foreign residents who met statutory eligibility at the start of the year in the same municipality, multiplied by 100. Ordinary naturalizations refer to the standard pathway (as opposed to federally handled “facilitated” cases). | | indirect | Local decision procedure in place on January 1: 1 if applications were decided by the elected municipal council (representative/indirect democracy); 0 if applications were decided by citizens in a local vote (direct democracy). | Dataset Context: This dataset is an annual municipality–year panel for Switzerland that spans a period of institutional change in how local authorities decide on citizenship applications. Switzerland’s “triple citizenship” system assigns a central role to municipalities in evaluating and deciding ordinary naturalization requests. During the 1990s and 2000s, municipalities used different decision procedures: in some, citizens voted on applications (often at a citizens’ assembly and, historically in a few places, by ballot); in others, elected municipal councils rendered the decisions. A series of Swiss Federal Court rulings in 2003–2005 curtailed secret-ballot referendums for naturalizations and required municipalities to provide formal justifications for rejections. Several cantons subsequently updated their laws, and many municipalities revised or formalized their procedures, frequently shifting decision authority to municipal councils. The indicator in this file captures, for each municipality and year, which procedure was in force as of January 1. The panel combines two types of information. First, administrative registers from the Swiss Federal Statistical Office (PETRA: Foreign Population Structure and Migration Statistics) are used to derive annual ordinary naturalization rates. These rates are constructed as ordinary naturalizations completed within a year divided by the number of foreign residents who met the legal eligibility criteria at the start of that year, providing a comparable percentage measure across municipalities and over time. Second, the coding of local decision procedures relies on a nationwide survey of municipal head secretaries and systematic compilation of cantonal regulations and court decisions. The measurement convention aligns the institutional status to January 1 to enhance comparability across municipalities, recognizing that formal switches may occur during a calendar year. Ordinary naturalizations represent the standard route to citizenship and, in the study period, typically occurred after lengthy processing that could extend several years from initial application to final local vote. Facilitated naturalizations—handled centrally under federal law (for example, for certain spouses of Swiss citizens)—are not included in the numerator of the ordinary naturalization rate. The resulting dataset provides a consistent view of local institutions and annual naturalization activity across more than a decade and a half, covering the pre- and post-reform environment in which many municipalities updated their decision-making arrangements.

      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      ref_first (reference)
      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      1. select {"columns":["bfs","year","nat_rate_ord","indirect"]}
      2. dropna {"columns":["bfs","year","nat_rate_ord"]}
      3. filter {"query":"indirect == 1"}
      4. collapse {"aggs":[{"column":"year","fn":"min","name":"sw"}],"by":["bfs"]}
      ref_panel (reference)
      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      1. select {"columns":["bfs","year","nat_rate_ord","indirect"]}
      2. dropna {"columns":["bfs","year","nat_rate_ord"]}
      3. filter {"query":"year in [2005, 2007]"}
      4. merge {"how":"left","on":["bfs"],"with":"ref_first"}
      5. merge {"how":"left","on":["bfs"],"with":"ref_years"}
      6. filter {"query":"nyears == 2 and (sw == 2006 or sw > 2007 or sw != sw)"}
      7. derive {"args":{"cmp":"eq","column":"sw","value":2006},"name":"group_treated","op":"indicator"}
      8. derive {"args":{"column":"group_treated","default":0,"keep_unmapped":false,"mapping":[{"source":1,"target":1}]},"name":"group_treated","op":"map"}
      9. derive {"args":{"cmp":"eq","column":"year","value":2007},"name":"post","op":"indicator"}
      10. derive {"args":{"columns":["group_treated","post"]},"name":"g_post","op":"interaction"}
      ref_years (reference)
      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      1. select {"columns":["bfs","year","nat_rate_ord","indirect"]}
      2. dropna {"columns":["bfs","year","nat_rate_ord"]}
      3. filter {"query":"year in [2005, 2007]"}
      4. collapse {"aggs":[{"column":"nat_rate_ord","fn":"count","name":"n"}],"by":["bfs","year"]}
      5. collapse {"aggs":[{"column":"n","fn":"count","name":"nyears"}],"by":["bfs"]}
    2. 1Turno do modelo
      call_d9589ed4naive-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_0015",
          "x": [
            "indirect"
          ],
          "y": "nat_rate_ord"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_a44b7a7fdecidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0015",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "indirect"
        ],
        "y": "nat_rate_ord"
      }
      Figuras call_a44b7a7f
      ChaveValorValor brutoErro-padrãoIC
      coef.indirect
      Coefficient on indirect in the regression of nat_rate_ord
      1,10754 1.10754277743055220,06451480.064514844686501680,981089 – 1,234
      Diagnósticos
      • n_obs = 22.97122971
      • k = 22
      • r2 = 0,01318350.013183467242530722
      • df_resid = 22.96922969
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 2.163938338040925,
            "ci_low": 2.022415071555584,
            "coef": 2.0931767047982546,
            "p": 0,
            "se": 0.03610163501934651,
            "t": 57.98010820497581,
            "term": "Intercept"
          },
          {
            "ci_high": 1.2339962130150524,
            "ci_low": 0.981089341846052,
            "coef": 1.1075427774305522,
            "p": 1.1999450149136743e-65,
            "se": 0.06451484468650168,
            "t": 17.16725480488185,
            "term": "indirect"
          }
        ]
      }
      Digests dos dados
      ds_0015 b496d06ec0c7d2b154edeec08a7016063e29d7d7eba5abaf6e923cc1f6d5c7ee
      sha256 do resultado
      c57101ca11e0c789d3e8319f7a30cf055f820d42611e8c212e5a4122f192075b
    4. 3Turno do modelo
      call_d0e1c6f4naive-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.indirect = 1,108.",
          "caveats": [],
          "figure_refs": [
            "call_a44b7a7f:coef.indirect"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      1,108
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.indirect = 1,108.

      Figuras citadas: call_a44b7a7f:coef.indirect · Parada: answered
      Figura da resposta: call_a44b7a7f:coef.indirect = 1,107541.1075427774305522 (se 0,06451480.06451484468650168)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximapassouobrigatória1.107542777 in [0.02344141281, 2.449828161]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada1.107542777 vs 1.236634786812406
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.06451484469 vs 0.6189762112257445

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