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Tarefa crb_papers.q081

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

What is the causal effect of a proposed wind turbine being located within 3 km of a precinct (prop_3km) on the change in the provincial Liberal Party's vote share between 2007 and 2011 (chng_lib), estimated for comparable precincts in the 2011 selected comparison sample?

Resposta

Estimativa ingênua (infer.ols): coef.prop_3km = -0,06701.

Valores esperados e de onde vêm

crb_papers.q081.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 81 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['81'].effect and .standard_error
Trecho
index 81: effect -0.0769913, standard_error 0.0275275
Valor como publicado
-0.07699133640460332
Erro-padrão como publicado
0.027527517114442512
Valor
-0,0769913-0.07699133640460332 (se 0,02752750.027527517114442512)
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: -0,0769913-0.07699133640460332 · relativa 0.000001 · absoluta 2.752751711444251e-8
  • #3 figura da resposta próxima: 0,02752750.027527517114442512 · relativa 0.000001 · absoluta 2.752751711444251e-8

crb_papers.q081.script

Fonte
CausalReasoningBenchmark reference estimation script for index 81
Tipo
software
Localização
solutions/research_papers/IV/Stokes2016/question/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 587 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
5d7ac7cd9d83baa306e23dc6ec25c66fcaafe6ffddd9f0cfafc9642b74670b57 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/IV/Stokes2016/question/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
    -0.06700827761 in [-0.1309452699, -0.02303740286]?
    obrigatóriapassou[-0.13094526994891065,-0.023037402860295993]-0,0670083-0.06700827761299434interval · [-0.13094526994891065, -0.023037402860295993]—call_6969a0e5
    2figura da resposta próxima
    -0.06700827761 vs -0.07699133640460332
    registradafalhou-0,0769913-0.07699133640460332-0,0670083-0.06700827761299434relativa 0.000001 · absoluta 2.752751711444251e-8crb_papers.q081.goldcall_6969a0e5
    3figura da resposta próxima
    0.008886900269 vs 0.027527517114442512
    registradafalhou0,02752750.0275275171144425120,00888690.008886900269365897relativa 0.000001 · absoluta 2.752751711444251e-8crb_papers.q081.goldcall_6969a0e5

    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.iv_2slsChamada do agente: infer.ols (call_6969a0e5)diferente
    Argumentos da referência e do agente
    ArgumentoReferênciaAgente
    cluster——não fixado pela referência
    controls—[]não fixado pela referência
    dataset"ref_iv""ds_0051"diferente
    endog["prop_3km"]—ausente
    exog["mindistlake","mindistlake_sq","longitude","long_sq","latitude","lat_sq","long_lat","ed_id_10.0","ed_id_14.0","ed_id_18.0","ed_id_19.0","ed_id_21.0","ed_id_22.0","ed_id_28.0","ed_id_29.0","ed_id_34.0","ed_id_36.0","ed_id_40.0","ed_id_41.0","ed_id_42.0","ed_id_55.0","ed_id_58.0","ed_id_67.0","ed_id_69.0","ed_id_70.0","ed_id_73.0","ed_id_85.0","ed_id_87.0","ed_id_90.0","ed_id_91.0","ed_id_98.0","ed_id_105.0"]—ausente
    fe—[]não fixado pela referência
    instruments["avg_pwr_log"]—ausente
    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—["prop_3km"]não fixado pela referência
    y"chng_lib""chng_lib"igual

    Pendências do caminho de referência: needs_op:iv_se_hc0

    Trajetória

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

    1. 0Início

      What is the causal effect of a proposed wind turbine being located within 3 km of a precinct (prop_3km) on the change in the provincial Liberal Party's vote share between 2007 and 2011 (chng_lib), estimated for comparable precincts in the 2011 selected comparison sample?

      ds_0051 (agent)

      | Variable Name | Description | |-------------------------|-------------------------------------------------------------------------------------------------------------| | X | Original row index or internal identifier for the observation (file artefact). | | poll_id_07 | Polling-division identifier for the 2007 provincial election. | | year | Election year for the record; all 708 records in this released extract have year=2011, with earlier-election measurements retained in separate fields. | | ed_id | Numeric identifier for the provincial electoral district (riding). | | ed_name | Name of the provincial electoral district (riding). | | poll_id_11 | Polling-division identifier for the 2011 provincial election. | | poll_id_03 | Polling-division identifier for the 2003 provincial election. | | master_id | Cross-year master identifier linking the same polling division across elections. | | area_m2_07 | Precinct land area in square meters (2007). | | area_m2_11 | Precinct land area in square meters (2011). | | area_m2_03 | Precinct land area in square meters (2003). | | redist | Indicator for whether the precinct/district experienced redistricting or boundary changes. | | km2_07 | Precinct area in square kilometers (2007). | | km2_11 | Precinct area in square kilometers (2011). | | km2_03 | Precinct area in square kilometers (2003). | | id_count | Count of overlapping census dissemination areas or sub-units matched to the precinct. | | electors | Number of registered electors (voters) in the precinct (year-specific). | | voter_turnout | Number of ballots cast in the precinct (absolute turnout count). | | perc_turnout | Turnout rate in the precinct (proportion of electors who voted). | | votes_lib | Number of votes received by the provincial Liberal Party candidate in the precinct. | | perc_lib | Share of votes for the provincial Liberal Party in the precinct (proportion). | | prop | Indicator (0/1) for presence of at least one proposed wind turbine within the precinct boundary. | | op | Indicator (0/1) for presence of at least one operational wind turbine within the precinct boundary. | | treat_p | Derived analysis flag indicating the precinct was coded as having a proposed turbine (derived indicator). | | treat_o | Derived analysis flag indicating the precinct was coded as having an operational turbine (derived indicator).| | op_1km | Indicator for precinct overlapping a 1 km buffer around an operational turbine. | | treat_o_1km | Derived analysis indicator for being within 1 km of an operational turbine. | | op_2km | Indicator for precinct overlapping a 2 km buffer around an operational turbine. | | treat_o_2km | Derived analysis indicator for being within 2 km of an operational turbine. | | op_3km | Indicator for precinct overlapping a 3 km buffer around an operational turbine. | | treat_o_3km | Derived analysis indicator for being within 3 km of an operational turbine. | | op_4km | Indicator for precinct overlapping a 4 km buffer around an operational turbine. | | treat_o_4km | Derived analysis indicator for being within 4 km of an operational turbine. | | op_5km | Indicator for precinct overlapping a 5 km buffer around an operational turbine. | | treat_o_5km | Derived analysis indicator for being within 5 km of an operational turbine. | | op_6km | Indicator for precinct overlapping a 6 km buffer around an operational turbine. | | treat_o_6km | Derived analysis indicator for being within 6 km of an operational turbine. | | prop_1km | Indicator for precinct overlapping a 1 km buffer around a proposed turbine. | | treat_p_1km | Derived analysis indicator for being within 1 km of a proposed turbine. | | prop_2km | Indicator for precinct overlapping a 2 km buffer around a proposed turbine. | | treat_p_2km | Derived analysis indicator for being within 2 km of a proposed turbine. | | prop_3km | Indicator for precinct overlapping a 3 km buffer around a proposed turbine. | | treat_p_3km | Derived analysis indicator for being within 3 km of a proposed turbine. | | prop_4km | Indicator for precinct overlapping a 4 km buffer around a proposed turbine. | | treat_p_4km | Derived analysis indicator for being within 4 km of a proposed turbine. | | prop_5km | Indicator for precinct overlapping a 5 km buffer around a proposed turbine. | | treat_p_5km | Derived analysis indicator for being within 5 km of a proposed turbine. | | prop_6km | Indicator for precinct overlapping a 6 km buffer around a proposed turbine. | | treat_p_6km | Derived analysis indicator for being within 6 km of a proposed turbine. | | avg_pwr | Average wind power resource value for the precinct calculated from spatial wind rasters (native units). | | count_pwr | Count of wind-power raster cells or points intersecting the precinct used to compute avg_pwr. | | pop | Estimated resident population in the precinct (from census-derived mapping). | | pop_denc | Population density for the precinct (people per unit area). | | p_uni_degree | Proportion of the adult population with a university degree. | | unemploy_rate | Unemployment rate (proportion) in the precinct. | | median_inc | Median household or individual income in the precinct (local currency). | | p_immigrant | Proportion of the population that are immigrants. | | avg_home_val | Average home value or assessed property value in the precinct (currency). | | p_housing_own | Proportion of housing units that are owner-occupied. | | log_pop | Natural logarithm of the precinct population. | | log_pop_denc | Natural logarithm of population density. | | log_median_inc | Natural logarithm of median income. | | avg_home_val_log | Natural logarithm of average home value (contemporaneous measure). | | longitude | Longitude coordinate of the precinct centroid (decimal degrees). | | latitude | Latitude coordinate of the precinct centroid (decimal degrees). | | mindistlake | Distance from the precinct centroid to the nearest Great Lake (units consistent with dataset, e.g., km). | | fed_id | Identifier for the corresponding federal electoral district. | | fed_dist | Federal electoral district name or code. | | votes_lib_fed | Number of votes for the federal Liberal Party candidate in the precinct (federal election). | | turnout_fed | Number of ballots cast in the federal election at the precinct-level. | | electors_fed | Number of registered electors for the federal election in the precinct. | | perc_lib_fed | Share of votes for the federal Liberal Party in the precinct (proportion). | | perc_turnout_fed | Turnout rate in the federal election (proportion). | | log_pop_sq | Squared term of log_pop (quadratic covariate). | | log_pop_denc_sq | Squared term of log_pop_denc. | | log_median_inc_sq | Squared term of log_median_inc. | | avg_home_val_log_sq | Squared term of avg_home_val_log. | | unemploy_rate_sq | Squared term of unemployment rate. | | p_uni_degree_sq | Squared term of p_uni_degree. | | p_immigrant_sq | Squared term of p_immigrant. | | p_housing_own_sq | Squared term of p_housing_own. | | weights_p | Retained observation weight associated with the proposed-turbine sample; equal to 1 for every row of this released extract. | | weights_o | Retained observation weight associated with the operational-turbine sample; equal to 1 for every row of this released extract. | | chng_lib | Provincial Liberal Party vote share in 2011 minus its 2007 share, expressed as a proportion; negative values denote declining support. | | avg_home_val_log_07 | Natural logarithm of average home value measured for 2007. | | avg_pwr_log | Natural logarithm of avg_pwr (logged wind power). | | mindistlake_log | Natural logarithm of mindistlake. | | mindistlake_sq | Squared distance to nearest Great Lake (quadratic term). | | long_sq | Squared term of longitude. | | lat_sq | Squared term of latitude. | | long_lat | Interaction term: longitude multiplied by latitude. | Data Description: This released file is a selected 2011 comparison sample of 708 Ontario polling divisions: 354 with a proposed wind turbine within 3 km (prop_3km=1) and 354 without one within that distance (prop_3km=0). It is not the full multi-year provincial panel. The groups were selected for comparability on recorded pre-existing characteristics; this does not by itself establish that all determinants of turbine proposals or voting are comparable. The source data link Ontario provincial election returns across years, corresponding federal returns, geospatial information on onshore wind projects and wind resources, and census-derived socioeconomic indicators. Turbines were geolocated from project lists and spatially joined to precinct polygons to produce presence flags, buffer indicators (1–6 km), counts, and average wind-power measures from Land Information Ontario rasters. Census dissemination-area data were geographically weighted into precincts to produce demographic and housing variables. Logged and squared transformations and precomputed weight fields are retained; weights_p and weights_o both equal 1 throughout this extract. chng_lib records the change in provincial Liberal vote share from 2007 to 2011.

      file 5e162a6286b73906441536ef428f81ba09456bb80ab810f43eaefaa7a6572a70 · frame —
      ref_iv (reference)
      file 5e162a6286b73906441536ef428f81ba09456bb80ab810f43eaefaa7a6572a70 · frame —
      1. select {"columns":["chng_lib","prop_3km","avg_pwr_log","mindistlake","mindistlake_sq","longitude","long_sq","latitude","lat_sq","long_lat","ed_id"]}
      2. dropna {"columns":["chng_lib","prop_3km","avg_pwr_log","mindistlake","mindistlake_sq","longitude","long_sq","latitude","lat_sq","long_lat","ed_id"]}
      3. dummies {"column":"ed_id","drop_first":true,"prefix":"ed_id"}
    2. 1Turno do modelo
      call_66b53e84naive-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_0051",
          "x": [
            "prop_3km"
          ],
          "y": "chng_lib"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_6969a0e5decidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0051",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "prop_3km"
        ],
        "y": "chng_lib"
      }
      Figuras call_6969a0e5
      ChaveValorValor brutoErro-padrãoIC
      coef.prop_3km
      Coefficient on prop_3km in the regression of chng_lib
      -0,0670083 -0.067008277612994340,00888690.008886900269365897-0,0844562 – -0,0495604
      Diagnósticos
      • n_obs = 708708
      • k = 22
      • r2 = 0,07452730.07452727148116933
      • df_resid = 706706
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": -0.054379229050393676,
            "ci_low": -0.07871588635638595,
            "coef": -0.06654755770338981,
            "p": 5.140165791164229e-25,
            "se": 0.00619780160123396,
            "t": -10.73728427998412,
            "term": "Intercept"
          },
          {
            "ci_high": -0.049560361377257764,
            "ci_low": -0.08445619384873092,
            "coef": -0.06700827761299434,
            "p": 1.4463594237959695e-13,
            "se": 0.008886900269365897,
            "t": -7.54011810439452,
            "term": "prop_3km"
          }
        ]
      }
      Digests dos dados
      ds_0051 333f41bca5e8eef6a41f2ac030e66f82922bcf8bbd00677670f3db82848f6ece
      sha256 do resultado
      7f1af8388b5dcda36e4b3bdd37a6c4932050197302480345b0d2566e3c7f0eaa
    4. 3Turno do modelo
      call_c82f6186naive-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.prop_3km = -0,06701.",
          "caveats": [],
          "figure_refs": [
            "call_6969a0e5:coef.prop_3km"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      -0,06701
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.prop_3km = -0,06701.

      Figuras citadas: call_6969a0e5:coef.prop_3km · Parada: answered
      Figura da resposta: call_6969a0e5:coef.prop_3km = -0,0670083-0.06700827761299434 (se 0,00888690.008886900269365897)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximapassouobrigatória-0.06700827761 in [-0.1309452699, -0.02303740286]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada-0.06700827761 vs -0.07699133640460332
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.008886900269 vs 0.027527517114442512

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