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Tarefa crb_papers.q010

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

By how many percentage points did year-over-year agency budget growth in 2007 differ for agencies that became ideologically misaligned versus those that stayed aligned across 2006-2007?

Resposta

Estimativa ingênua (infer.ols): coef.conflict = -0,7861.

Valores esperados e de onde vêm

crb_papers.q010.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 10 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['10'].effect and .standard_error
Trecho
index 10: effect -2.08942, standard_error 3.14921
Valor como publicado
-2.089422718345667
Erro-padrão como publicado
3.149212644779541
Valor
-2,08942-2.089422718345667 (se 3,149213.149212644779541)
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: -2,08942-2.089422718345667 · relativa 0.000001 · absoluta 0.000003149212644779541
  • #3 figura da resposta próxima: 3,149213.149212644779541 · relativa 0.000001 · absoluta 0.000003149212644779541

crb_papers.q010.script

Fonte
CausalReasoningBenchmark reference estimation script for index 10
Tipo
software
Localização
solutions/research_papers/DiD/Dahlstrom_Holmgren_2023/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 1610 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
9e89358ac772e2d6ce5ecbace1970600a102aa20b275286581179805ec38a413 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/DiD/Dahlstrom_Holmgren_2023/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
    -0.7860512074 in [-8.261879502, 4.083034065]?
    obrigatóriapassou[-8.261879502113567,4.083034065422234]-0,786051-0.7860512073770102interval · [-8.261879502113567, 4.083034065422234]—call_0c89b8e4
    2figura da resposta próxima
    -0.7860512074 vs -2.089422718345667
    registradafalhou-2,08942-2.089422718345667-0,786051-0.7860512073770102relativa 0.000001 · absoluta 0.000003149212644779541crb_papers.q010.goldcall_0c89b8e4
    3figura da resposta próxima
    0.4923257779 vs 3.149212644779541
    registradafalhou3,149213.1492126447795410,4923260.4923257778939416relativa 0.000001 · absoluta 0.000003149212644779541crb_papers.q010.goldcall_0c89b8e4

    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_0c89b8e4)igual
    Argumentos da referência e do agente
    ArgumentoReferênciaAgente
    cluster"agency_id"—diferente
    controls["treat","post"][]diferente
    dataset"ref_panel""ds_0006"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["treat_post"]["conflict"]diferente
    y"bgrowth""bgrowth"igual

    Trajetória

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

    1. 0Início

      By how many percentage points did year-over-year agency budget growth in 2007 differ for agencies that became ideologically misaligned versus those that stayed aligned across 2006-2007?

      ds_0006 (agent)

      | Variable Name | Description | | --- | --- | | year | Fiscal year label for the observation. Sweden shifted to a calendar-aligned fiscal year in 1997; earlier years follow the pre-reform fiscal calendar but are recorded with a single year identifier. | | agency_id | Stable numeric identifier for each central government agency, used to track agencies over time. | | head_id | Identifier for the individual serving as agency head (Director General) in that year; constant for a person across years and agencies where applicable. | | agency_name | Official agency name as reported in government publications (often in Swedish). | | ministry_name | Name of the supervising ministry responsible for the agency in that year. | | ministry_code | Numeric code corresponding to the supervising ministry in that year. | | inflation | Annual price index factor used to express monetary amounts in constant prices; applied to convert nominal SEK to inflation-adjusted SEK for comparability over time. | | incumbent | Indicator for leadership continuity: 1 if the listed agency head is a holdover continuing in office that year; 0 if newly installed. | | conflict | Indicator of ideological misalignment: 1 if the cabinet that appointed the agency head belongs to a different ideological bloc than the parliamentary majority in that year; 0 if aligned. | | academic | Indicator that the agency head holds a PhD or comparable academic-sector credential that year (1) versus not (0). | | political | Indicator that the agency head has prior experience in political office/positions (1) versus not (0). | | private | Indicator that the agency head has work experience from the private sector (1) versus not (0). | | public | Indicator that the agency head has work experience from the public sector (1) versus not (0). | | council | Indicator that the agency had an advisory council in place that year (1) versus not (0). | | board | Indicator that the agency had a management board in place that year (1) versus not (0). | | creator | Indicator that the agency was originally established by a political bloc opposed to the current parliamentary majority (1) versus not (0). | | budget | Agency’s annual operating appropriation in current (nominal) SEK as recorded in the national budget; excludes programmatic cash transfers. | | i_budget | Agency’s operating appropriation expressed in constant (inflation-adjusted) SEK using the provided price index for intertemporal comparability. | | lni_budget | Natural logarithm of i_budget. | | bgrowth | Year-over-year percentage change in the agency’s inflation-adjusted operating appropriation; may be missing for the first observed year of an agency or after structural breaks. | | bs_agency_id | Technical helper field mirroring the agency identifier; retained from the original processing pipeline. | | odd | Unlabeled technical field carried over from source files; not documented as substantively meaningful in this dataset version. | | lni_budget_control | Natural logarithm of the agency’s inflation-adjusted operating appropriation in the previous fiscal year (lagged real budget). | Dataset Context: This dataset compiles annual records for Sweden’s central executive agencies from 1971 to 2014, combining administrative registers and official publications. Agencies and their life spans were identified from the Swedish Code of Statutes, while annual operating appropriations and organizational details were taken from national budget bills, annexes, and government yearbooks such as the Swedish State Calendar. The resulting panel traces each agency’s supervising ministry, leadership, organizational arrangements (e.g., advisory councils and management boards), and budget in both nominal and constant SEK. Budgets refer to operating appropriations rather than programmatic transfer spending, allowing like-for-like comparisons of agency running costs across time. Monetary amounts are deflated using an annual price index supplied with the data. A major public finance reform in the mid-1990s realigned Sweden’s fiscal year to the calendar year starting in 1997; the dataset reflects the official year labels before and after this change. Leadership information centers on the Director General for each agency, including indicators of sectoral background (academic, political, private, public) and whether the leader is a continuing incumbent or newly installed. Swedish cabinet ministers appoint agency heads on fixed-term contracts, which—together with legislative control over appropriations—creates periods where leaders appointed under one political constellation continue to serve when the parliamentary majority shifts. The data also record whether agencies have advisory councils or management boards in a given year, institutional features that are regularly reported in official yearbooks. Not all agencies appear in every year: the panel includes agencies created, reorganized, or terminated over time. The coverage nonetheless spans hundreds of organizations and thousands of agency-year observations, providing a comprehensive view of the Swedish central administration’s structure and operating appropriations across more than four decades.

      file 487a8169235b77887c54fc38ae45b997c3dc7a8ea1da83811988a925d2640023 · frame —
      ref_c_post (reference)
      file 487a8169235b77887c54fc38ae45b997c3dc7a8ea1da83811988a925d2640023 · frame —
      1. select {"columns":["year","agency_id","conflict","bgrowth"]}
      2. derive {"args":{"cmp":"gt","column":"conflict","value":0},"name":"conflict","op":"indicator"}
      3. derive {"args":{"column":"conflict","default":0,"keep_unmapped":false,"mapping":[{"source":1,"target":1}]},"name":"conflict","op":"map"}
      4. dropna {"columns":["year","agency_id","conflict","bgrowth"]}
      5. filter {"query":"year == 2007"}
      6. select {"columns":["agency_id","conflict"]}
      7. rename {"map":{"conflict":"conflict_post"}}
      ref_c_pre (reference)
      file 487a8169235b77887c54fc38ae45b997c3dc7a8ea1da83811988a925d2640023 · frame —
      1. select {"columns":["year","agency_id","conflict","bgrowth"]}
      2. derive {"args":{"cmp":"gt","column":"conflict","value":0},"name":"conflict","op":"indicator"}
      3. derive {"args":{"column":"conflict","default":0,"keep_unmapped":false,"mapping":[{"source":1,"target":1}]},"name":"conflict","op":"map"}
      4. dropna {"columns":["year","agency_id","conflict","bgrowth"]}
      5. filter {"query":"year == 2006"}
      6. select {"columns":["agency_id","conflict"]}
      7. rename {"map":{"conflict":"conflict_pre"}}
      ref_panel (reference)
      file 487a8169235b77887c54fc38ae45b997c3dc7a8ea1da83811988a925d2640023 · frame —
      1. select {"columns":["year","agency_id","conflict","bgrowth"]}
      2. derive {"args":{"cmp":"gt","column":"conflict","value":0},"name":"conflict","op":"indicator"}
      3. derive {"args":{"column":"conflict","default":0,"keep_unmapped":false,"mapping":[{"source":1,"target":1}]},"name":"conflict","op":"map"}
      4. dropna {"columns":["year","agency_id","conflict","bgrowth"]}
      5. filter {"query":"year in [2006, 2007]"}
      6. merge {"how":"inner","on":["agency_id"],"with":"ref_c_pre"}
      7. merge {"how":"inner","on":["agency_id"],"with":"ref_c_post"}
      8. filter {"query":"conflict_pre == 0 and (conflict_post == 1 or conflict_post == 0)"}
      9. derive {"args":{"cmp":"eq","column":"year","value":2007},"name":"post","op":"indicator"}
      10. derive {"args":{"cmp":"eq","column":"conflict_post","value":1},"name":"treat","op":"indicator"}
      11. derive {"args":{"columns":["treat","post"]},"name":"treat_post","op":"interaction"}
    2. 1Turno do modelo
      call_550e40d1naive-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_0006",
          "x": [
            "conflict"
          ],
          "y": "bgrowth"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_0c89b8e4decidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0006",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "conflict"
        ],
        "y": "bgrowth"
      }
      Figuras call_0c89b8e4
      ChaveValorValor brutoErro-padrãoIC
      coef.conflict
      Coefficient on conflict in the regression of bgrowth
      -0,786051 -0.78605120737701020,4923260.4923257778939416-1,75118 – 0,179075
      Diagnósticos
      • n_obs = 6.2946294
      • k = 22
      • r2 = 0,0004307010.00043070134862066567
      • df_resid = 6.2926292
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 3.5477603639990276,
            "ci_low": 2.5231779558761973,
            "coef": 3.0354691599376125,
            "p": 7.082741567836451e-31,
            "se": 0.26132758621654006,
            "t": 11.615571107071627,
            "term": "Intercept"
          },
          {
            "ci_high": 0.17907524252932194,
            "ci_low": -1.7511776572833422,
            "coef": -0.7860512073770102,
            "p": 0.11040336387130825,
            "se": 0.4923257778939416,
            "t": -1.596607861444021,
            "term": "conflict"
          }
        ]
      }
      • 761 rows were dropped because one of 'bgrowth', 'conflict' was missing
      Digests dos dados
      ds_0006 08fe94782681b7c669d52dc4255da4f837b7c329b17dce2b8570371105ec574c
      sha256 do resultado
      c51e67b60d0ca455eef7f85802846789c504c819b6d4fb5de4afd19655752798
    4. 3Turno do modelo
      call_6c915197naive-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.conflict = -0,7861.",
          "caveats": [],
          "figure_refs": [
            "call_0c89b8e4:coef.conflict"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      -0,7861
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.conflict = -0,7861.

      Figuras citadas: call_0c89b8e4:coef.conflict · Parada: answered
      Figura da resposta: call_0c89b8e4:coef.conflict = -0,786051-0.7860512073770102 (se 0,4923260.4923257778939416)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximapassouobrigatória-0.7860512074 in [-8.261879502, 4.083034065]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada-0.7860512074 vs -2.089422718345667
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.4923257779 vs 3.149212644779541

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    #0123
    Época 1passoupassoufalhoufalhou

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