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Tarefa crb_papers.q089

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 states with gubernatorial elections decided near 50-50, what is the average effect of electing a Democratic rather than a Republican governor on the one-year change in state policy liberalism?

Resposta

Estimativa ingênua (infer.ols): coef.DemWinGov = 0,03003.

Valores esperados e de onde vêm

crb_papers.q089.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 89 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['89'].effect and .standard_error
Trecho
index 89: effect 0.027245, standard_error 0.0180247
Valor como publicado
0.02724502978988668
Erro-padrão como publicado
0.01802473822893924
Valor
0,0272450.02724502978988668 (se 0,01802470.01802473822893924)
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: 0,0272450.02724502978988668 · relativa 0.000001 · absoluta 1.802473822893924e-8
  • #3 figura da resposta próxima: 0,01802470.01802473822893924 · relativa 0.000001 · absoluta 1.802473822893924e-8

crb_papers.q089.script

Fonte
CausalReasoningBenchmark reference estimation script for index 89
Tipo
software
Localização
solutions/research_papers/RDD/caughey_etal_2017/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 1507 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
154f06f33d28ead6fe5c03050bc610b3c4f7b20e8f13a4f8063a75477f1dfdb8 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/caughey_etal_2017/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
    0.03002690475 in [-0.008083457139, 0.06257351672]?
    obrigatóriapassou[-0.008083457138834231,0.06257351671860759]0,03002690.030026904754454888interval · [-0.008083457138834231, 0.06257351671860759]—call_2b9fff35
    2figura da resposta próxima
    0.03002690475 vs 0.02724502978988668
    registradafalhou0,0272450.027245029789886680,03002690.030026904754454888relativa 0.000001 · absoluta 1.802473822893924e-8crb_papers.q089.goldcall_2b9fff35
    3figura da resposta próxima
    0.007403789482 vs 0.01802473822893924
    registradafalhou0,01802470.018024738228939240,007403790.007403789482184507relativa 0.000001 · absoluta 1.802473822893924e-8crb_papers.q089.goldcall_2b9fff35

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

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    Trajetória

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

    1. 0Início

      Among states with gubernatorial elections decided near 50-50, what is the average effect of electing a Democratic rather than a Republican governor on the one-year change in state policy liberalism?

      ds_0058 (agent)

      | Variable Name | Description | |----------------------------|------------------------------------------------------------------------------------------------------| | Unnamed: 0 | Row index | | abb | State postal abbreviation | | year | Calendar year | | Policy | Annual state policy liberalism score (composite measure across policy domains) | | hs_dem_per_2pty | Democratic share of the two-party vote in state house elections | | sen_dem_per_2pty | Democratic share of the two-party vote in state senate elections | | sen_dem_control | Indicator that Democrats control the state senate | | election_year | Indicator for a gubernatorial election year | | hs_dem_control | Indicator that Democrats control the state house | | hs_dem_in_sess | Number of Democratic members seated in the state house | | hs_rep_in_sess | Number of Republican members seated in the state house | | hs_tot_in_sess | Total number of seats in the state house | | sen_tot_in_sess | Total number of seats in the state senate | | demprop2 | - | | hs_elections_this_year | Indicator that the state held house elections in this year | | sen_elections_this_year | Indicator that the state held senate elections in this year | | gov_party | Party of the sitting governor (e.g., D/R) | | sen_dem_prop_all_centered | Democratic seat share in the state senate, centered | | hs_dem_prop_all_centered | Democratic seat share in the state house, centered | | house_bins | Time-period bin label for house analyses (four-era scheme) | | senate_bins | Time-period bin label for senate analyses (three-era scheme) | | StPO | State postal abbreviation (duplicate) | | Year | Calendar year (duplicate) | | StateHouseDivergence | Ideological distance between Democratic and Republican medians in the state house | | StateSenateDivergence | Ideological distance between Democratic and Republican medians in the state senate | | DemControl | Share of major state institutions (governor, house, senate) held by Democrats | | MassPartisanDivergence | Distance between average Democratic and Republican identifiers’ economic policy views in the state | | Era4 | Four-era categorical label | | Era3 | Three-era categorical label | | StateHouseDivergence_L1 | One-year lag of StateHouseDivergence | | StateSenateDivergence_L1 | One-year lag of StateSenateDivergence | | MassPartisanDivergence_L1 | One-year lag of MassPartisanDivergence | | MassPartisanDivergence_L2 | Two-year lag of MassPartisanDivergence | | Policy_L1 | One-year lag of Policy | | Policy_L2 | Two-year lag of Policy | | Policy_L3 | Three-year lag of Policy | | Policy_L4 | Four-year lag of Policy | | DemControl_L1 | One-year lag of DemControl | | DemControl_L2 | Two-year lag of DemControl | | Policy_D1 | One-year change in Policy | | Policy_D2 | Two-year change in Policy | | Policy_D3 | Three-year change in Policy | | Policy_D4 | Four-year change in Policy | | hs_cont_alt | - | | sen_cont_alt | - | | South11 | Indicator for the 11 former Confederate states | | StateLegDivergence | Ideological distance between party medians in the combined state legislature | | StateLegDivergence_L1 | One-year lag of StateLegDivergence | | DemGov | Indicator that the governor is a Democrat | | DemPropGov0 | Democratic two-party vote share in the most recent gubernatorial election | | DemMarginGov | Democratic two-party vote margin in the gubernatorial election | | DemWinGov | Indicator that the Democrat won the gubernatorial election | | DemSeatShareHouse | Democratic seat share in the state house | | DemSeatShareSenate | Democratic seat share in the state senate | | DemControlHouse | Indicator that Democrats hold a majority in the state house | | DemControlSenate | Indicator that Democrats hold a majority in the state senate | | GovLib | Policy liberalism series aligned to gubernatorial election timing | | GovLibL1 | One-year lag of GovLib | | GovLibL2 | Two-year lag of GovLib | | GovLibL3 | Three-year lag of GovLib | | GovLibL4 | Four-year lag of GovLib | | GovLibL12 | Twelve-year lag of GovLib | | GovLibP1 | One-year lead of GovLib | | GovLibP2 | Two-year lead of GovLib | | GovLibP3 | Three-year lead of GovLib | | GovLibP4 | Four-year lead of GovLib | | GovLibP12 | Twelve-year lead of GovLib | | GovLibD1 | One-year change in GovLib | | GovLibD2 | Two-year change in GovLib | | GovLibD3 | Three-year change in GovLib | | GovLibD4 | Four-year change in GovLib | | GovLibD12 | Twelve-year change in GovLib | | GovLibDL1 | One-year lag of the first difference of GovLib | | GovLib.fe0 | - | | GovLib.fe1 | - | | GovLib.fe2 | - | | GovLib.1 | - | | GovLib.2 | - | | GovLib.1L1 | - | | GovLib.1L2 | - | | GovLib.2L1 | - | | GovLib.2L2 | - | | GovLib.fe0L1 | - | | GovLib.fe0L2 | - | | GovLib.fe1L1 | - | | GovLib.fe1L2 | - | | GovLib.fe2L1 | - | | GovLib.fe2L2 | - | | GovLib.1P1 | - | | GovLib.1P2 | - | | GovLib.2P1 | - | | GovLib.2P2 | - | | GovLib.fe0P1 | - | | GovLib.fe0P2 | - | | GovLib.fe1P1 | - | | GovLib.fe1P2 | - | | GovLib.fe2P1 | - | | GovLib.fe2P2 | - | Data Description: This dataset assembles annual, state-level information on policy outputs, party control, election results, and ideological measures for the U.S. states over a long historical period. The core outcome is a yearly score of state policy liberalism derived from a broad set of substantive policy indicators spanning social welfare, taxation, labor, civil rights, criminal justice, and other domains. Complementing this are chamber composition measures (seat counts, seat shares, majority indicators), gubernatorial party and election results, and time-indexed transformations such as lags and differences that structure the panel. The data were compiled by combining the dynamic state policy liberalism series with state legislative returns and composition data, gubernatorial election outcomes, measures of elite ideological positions in state legislatures, and mass public ideology by party within states. The panel covers 1936–2014 (with some variables available for shorter ranges), includes identifiers for states and eras, and provides both chamber-specific and combined-legislature indicators of partisan divergence. Variables with suffixes like _Lk, Dk, and Pk denote k-year lags, k-year differences, and k-year leads, respectively, offering analysts ready-to-use time-aligned series.

      file 42710f8726652840d2163c717b665af2fde4d74d5f20939cdc361fdd7983fcd0 · frame —
    2. 1Turno do modelo
      call_df3c12ddnaive-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_0058",
          "x": [
            "DemWinGov"
          ],
          "y": "GovLibD1"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_2b9fff35decidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0058",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "DemWinGov"
        ],
        "y": "GovLibD1"
      }
      Figuras call_2b9fff35
      ChaveValorValor brutoErro-padrãoIC
      coef.DemWinGov
      Coefficient on DemWinGov in the regression of GovLibD1
      0,0300269 0.0300269047544548880,007403790.0074037894821845070,0154996 – 0,0445542
      Diagnósticos
      • n_obs = 1.0891089
      • k = 22
      • r2 = 0,0146730.014673037625268393
      • df_resid = 1.0871087
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 0.011558850071883333,
            "ci_low": -0.00783774807573387,
            "coef": 0.0018605509980747306,
            "p": 0.7066747579640269,
            "se": 0.00494269302349957,
            "t": 0.37642455018527665,
            "term": "Intercept"
          },
          {
            "ci_high": 0.04455424123607689,
            "ci_low": 0.015499568272832883,
            "coef": 0.030026904754454888,
            "p": 0.000053572678651828014,
            "se": 0.007403789482184507,
            "t": 4.055612983960124,
            "term": "DemWinGov"
          }
        ]
      }
      • 2861 rows were dropped because one of 'GovLibD1', 'DemWinGov' was missing
      Digests dos dados
      ds_0058 fc5bea89a9a23c61a6ab1e5c37649efbbdd02cfee9ca92c3654a17f73c5b7d76
      sha256 do resultado
      5a66f5c2f213beec50352c19bde26d391acb1671bdbd1d0fecb3fe2e46a419d0
    4. 3Turno do modelo
      call_1ed0c136naive-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.DemWinGov = 0,03003.",
          "caveats": [],
          "figure_refs": [
            "call_2b9fff35:coef.DemWinGov"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      0,03003
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.DemWinGov = 0,03003.

      Figuras citadas: call_2b9fff35:coef.DemWinGov · Parada: answered
      Figura da resposta: call_2b9fff35:coef.DemWinGov = 0,03002690.030026904754454888 (se 0,007403790.007403789482184507)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximapassouobrigatória0.03002690475 in [-0.008083457139, 0.06257351672]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada0.03002690475 vs 0.02724502978988668
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.007403789482 vs 0.01802473822893924

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