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Tarefa crb_papers.q080

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
-0.2001507749 in [-1.262375912, -0.7046467599]?

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

Pergunta feita ao analista

What is the local causal effect of a higher average polling-station size on municipalities' counts of citizens' reports of vote buying? Report the local average effect for municipalities whose mean station size is shifted by exogenous institution-determined changes in the number of stations, controlling for municipal population and potential electorate and clustering standard errors by municipality.

Resposta

Estimativa ingênua (infer.ols): coef.lm_pob_mesa = -0,2002.

Valores esperados e de onde vêm

crb_papers.q080.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 80 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['80'].effect and .standard_error
Trecho
index 80: effect -0.983511, standard_error 0.142278
Valor como publicado
-0.9835113358726062
Erro-padrão como publicado
0.14227784489218315
Valor
-0,983511-0.9835113358726062 (se 0,1422780.14227784489218315)
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: -0,983511-0.9835113358726062 · relativa 0.000001 · absoluta 1.4227784489218315e-7
  • #3 figura da resposta próxima: 0,1422780.14227784489218315 · relativa 0.000001 · absoluta 1.4227784489218315e-7

crb_papers.q080.script

Fonte
CausalReasoningBenchmark reference estimation script for index 80
Tipo
software
Localização
solutions/research_papers/IV/Rueda2017/question/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 662 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
c0fdc0cfcf6ffcbf82a88b27bc2abf800c82417f91569a72569c0e07cc18f8eb (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/IV/Rueda2017/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
    -0.2001507749 in [-1.262375912, -0.7046467599]?
    obrigatóriafalhou[-1.2623759118612852,-0.7046467598839272]-0,200151-0.2001507749013577interval · [-1.2623759118612852, -0.7046467598839272]—call_1b642842
    2figura da resposta próxima
    -0.2001507749 vs -0.9835113358726062
    registradafalhou-0,983511-0.9835113358726062-0,200151-0.2001507749013577relativa 0.000001 · absoluta 1.4227784489218315e-7crb_papers.q080.goldcall_1b642842
    3figura da resposta próxima
    0.06916559931 vs 0.14227784489218315
    registradafalhou0,1422780.142277844892183150,06916560.0691655993134576relativa 0.000001 · absoluta 1.4227784489218315e-7crb_papers.q080.goldcall_1b642842

    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_1b642842)diferente
    Argumentos da referência e do agente
    ArgumentoReferênciaAgente
    cluster"muni_code"—diferente
    controls—[]não fixado pela referência
    dataset"ref_iv""ds_0050"diferente
    endog["lm_pob_mesa"]—ausente
    exog["lpopulation","lpotencial"]—ausente
    fe—[]não fixado pela referência
    instruments["lz_pob_mesa_f"]—ausente
    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—["lm_pob_mesa"]não fixado pela referência
    y"e_vote_buying""e_vote_buying"igual

    Pendências do caminho de referência: needs_op:iv_cluster_cr0

    Trajetória

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

    1. 0Início

      What is the local causal effect of a higher average polling-station size on municipalities' counts of citizens' reports of vote buying? Report the local average effect for municipalities whose mean station size is shifted by exogenous institution-determined changes in the number of stations, controlling for municipal population and potential electorate and clustering standard errors by municipality.

      ds_0050 (agent)

      | Variable Name | Description | |----------------------|-----------------------------------------------------------------------------------------------------| | muni_code | Municipality numeric identifier (unique code for each municipality). | | year | Calendar year / election year of the observation. | | departamento | Department (first-level administrative division) name or code. | | municipio | Municipality name. | | sum_vb | Total count / aggregate of reported vote-buying incidents (municipality-year) (aggregate measure). | | e_vote_buying | Citizens' reports of vote-buying incidents filed in regional offices of the Attorney General (count).| | e_neg_t_buying | Citizens' reports of turnout-suppression / negative-turnout incidents (municipality-year count). | | neg_t_buying_moe | MOE monitors' reports of turnout suppression (municipality-year count). | | pob_mesa | Number of registered voters per polling station (polling-place size, raw). | | lpob_mesa | Natural log of pob_mesa (logged registered voters per polling station). | | m_pob_mesa | Mean registered voters per polling station in the municipality (municipality average). | | lm_pob_mesa | Natural log of m_pob_mesa (logged mean polling-place size). | | z_pob_mesa_f | Average polling-station size calculated by dividing the potential electorate by the number of stations implied by the election-year voter-cap rule. This is a rule-based value, distinct from the observed average m_pob_mesa. | | lz_pob_mesa_f | Natural log of z_pob_mesa_f (logged rule-predicted size). | | lown_resources | Log of municipality own resources (local revenue; logged local fiscal resources). | | larmed_actor | Lagged indicator for presence of nonstate armed actors in the municipality (e.g., guerrillas/paramilitaries). | | margin_index2 | Index measuring electoral competitiveness / margin (competitiveness indicator). | | nbi_i | Unsatisfied Basic Needs (NBI) poverty index (possibly standardized / imputed). | | nbi | Unsatisfied Basic Needs (NBI) raw measure (poverty indicator). | | lnbi_i | Natural log of nbi_i (logged poverty index variant). | | llnbi_i | Transformed / double-log version of the NBI index (log of log or alternative transform). | | lsize | Logged version of a polling-station size measure (log of size). | | lpotencial | Natural log of 'potencial' (logged measure of potential electorate or voting potential). | | potencial_cu | Cubed transformation of 'potencial' (potencial^3). | | potencial_sq | Squared transformation of 'potencial' (potencial^2). | | trend_f | Time trend or election-wave variable (numeric trend / period indicator). | | Population20 | Population aged 20 or older (used to construct per–polling‑station measures). | | lroyalties2_d_pc | Log of royalties (natural-resource transfers) per capita (logged royalties per person). | | local_e | Indicator for local/regional election year (binary flag). | | ingresos_totales | Total municipal revenues / total income (nominal value). | | own_resources_p | Share (proportion) of municipal revenue coming from own sources (self-generated revenue). | | revenue_current_p | Share (percent) of current revenue in total municipal revenue. | | tax_revenue_p | Share (percent) of revenue coming from taxes. | | population | Total municipal population (raw count). | | depto_code | Department code (numeric identifier for department). | | pot_mesa_mean | Mean of 'potential per mesa' (average potential electorate per polling station). | | potencial | Measure of potential electorate / voting potential (raw value used in controls). | | mesas | Number of polling stations ("mesas") in the municipality. | | pot_mesa_med | Median potential per mesa in the municipality. | | lpopulation | Natural log of population (logged municipal population). | | lpot_mesa_med | Natural log of pot_mesa_med (logged median potential per mesa). | | lpot_mesa_mean | Natural log of pot_mesa_mean (logged mean potential per mesa). | | lvoter_mesa | Natural log of voter_mesa (logged number of actual voters per mesa / turnout per mesa). | | voter_mesa | Number of actual voters per mesa (turnout per polling station). | | armed_actor | Indicator for presence of nonstate armed actors (guerrillas/paramilitaries) in the municipality. | | size2 | Alternative polling-station size measure (variant / secondary definition of size). | | lsize2 | Natural log of size2 (logged alternative size). | | size | Polling-station size (alternative / additional size metric). | | le_parties_av | Logged average of party-related measure (e.g., logged average number of parties or lists). | | closeness_CG | Measure of electoral closeness (e.g., closeness of congressional/general contest). | | l4margin_index2 | Four-period lag (or 4-election lag) of margin_index2 (lagged competitiveness measure). | | lcoca_area | Log of area under coca cultivation (proxy for illicit-crop presence / local illicit activity). | | l4lsize | Four-period lag of lsize (lagged log-size of polling stations). | | l4lpob_mesa | Four-period lag of lpob_mesa (lagged logged registered voters per polling station). | | pob_mesa_q | Polling-station size quartile (categorical indicator for pob_mesa quartiles). | | discont_f | Retained indicator for inclusion in a near-threshold subset of municipalities around the electorate levels at which the voter-cap rule adds a polling station; 1 denotes inclusion and 0 exclusion. | | e_manipulating_results | Citizens' reports of manipulated election results / result tampering (municipality-year count). | | moving_votes_moe | MOE monitors' reports of votes being moved or misallocated between stations (count). | | vote_buying_moe | MOE monitors' reports of vote-buying incidents (municipality-year count). | | manipulating_results_moe | MOE monitors' reports of manipulated results (municipality-year count). | | ltrend_f | Logged / transformed version of trend_f (transformed time trend variable). | | VB_pc | Vote-buying reports per capita (vote-buying incidents scaled by population). | | monitor_MOE | Indicator for presence of MOE domestic election monitors in the municipality (binary). | | lpot_mesa | Natural log of pot_mesa (logged potential per polling station). | | pot_mesa | Potential electorate per mesa (potential votes / potential voters per polling station). | | sample | Indicator for inclusion in the analytical sample (binary flag). | Data Description: This is a municipality‑year panel assembled for Colombian elections in the mid‑2000s to early‑2010s (covering multiple general and regional election cycles). The file merges administrative incident records (citizen reports filed with regional offices of the Attorney General), incident logs collected by the domestic observer Misión de Observación Electoral (MOE), official polling‑station result files from the National Registrar (used to derive polling‑station size and rule‑based size measures), municipal demographic and fiscal indicators from administrative sources, and survey‑based individual measures where available (LAPOP). Variables include identifiers (department and municipality), election‑year indicators, several alternative and transformed measures of polling‑station and electorate size, presence/lagged indicators for nonstate armed actors and monitors, municipal socioeconomic controls (population, revenue and poverty measures), and multiple municipality‑level aggregates of reported electoral irregularities. The released extract contains 4,352 municipality-year observations from elections in 2006, 2007, 2010, and 2011. The National Registrar sets voter-cap rules, and registered voters within a precinct are allocated to stations alphabetically. In the supplied construction, the cap is 400 in 2006 and 2007, 500 in 2010, and 350 in 2011. For potential electorate V and cap C, z_pob_mesa_f is V divided by (floor((V−1)/C)+1). Crossing a multiple of the cap adds a predicted station and lowers the predicted average size. Actual station arrangements can differ because of geography and special voting locations. The near-threshold subset flag is retained as supplied; it is separate from the full-file sample flag.

      file 5074479809b19d8b0940810ad65624efcd6d2593a1768c4c44406560c5ae6d69 · frame —
      ref_iv (reference)
      file 5074479809b19d8b0940810ad65624efcd6d2593a1768c4c44406560c5ae6d69 · frame —
      1. select {"columns":["e_vote_buying","lm_pob_mesa","lpopulation","lpotencial","lz_pob_mesa_f","muni_code"]}
      2. dropna {"columns":["e_vote_buying","lm_pob_mesa","lpopulation","lpotencial","lz_pob_mesa_f","muni_code"]}
    2. 1Turno do modelo
      call_83df84e8naive-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_0050",
          "x": [
            "lm_pob_mesa"
          ],
          "y": "e_vote_buying"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_1b642842decidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0050",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "lm_pob_mesa"
        ],
        "y": "e_vote_buying"
      }
      Figuras call_1b642842
      ChaveValorValor brutoErro-padrãoIC
      coef.lm_pob_mesa
      Coefficient on lm_pob_mesa in the regression of e_vote_buying
      -0,200151 -0.20015077490135770,06916560.0691655993134576-0,335751 – -0,064551
      Diagnósticos
      • n_obs = 4.3524352
      • k = 22
      • r2 = 0,001120710.0011207077942697596
      • df_resid = 4.3504350
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 2.197486494320284,
            "ci_low": 0.5944901393239885,
            "coef": 1.395988316822136,
            "p": 0.0006444442158064239,
            "se": 0.40882137233619475,
            "t": 3.4146656982359116,
            "term": "Intercept"
          },
          {
            "ci_high": -0.06455096151949896,
            "ci_low": -0.3357505882832164,
            "coef": -0.2001507749013577,
            "p": 0.003825137045412735,
            "se": 0.0691655993134576,
            "t": -2.893790799010892,
            "term": "lm_pob_mesa"
          }
        ]
      }
      Digests dos dados
      ds_0050 40a0ce2605caee3814388883402a6cbe3aca70170da6de9b5ee4bc485533b679
      sha256 do resultado
      28eba548d989779f9fd94a45e6a7f4344d3926c1f2630e220b1cbfe7c0ecb633
    4. 3Turno do modelo
      call_34849eefnaive-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.lm_pob_mesa = -0,2002.",
          "caveats": [],
          "figure_refs": [
            "call_1b642842:coef.lm_pob_mesa"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      -0,2002
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.lm_pob_mesa = -0,2002.

      Figuras citadas: call_1b642842:coef.lm_pob_mesa · Parada: answered
      Figura da resposta: call_1b642842:coef.lm_pob_mesa = -0,200151-0.2001507749013577 (se 0,06916560.0691655993134576)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória-0.2001507749 in [-1.262375912, -0.7046467599]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada-0.2001507749 vs -0.9835113358726062
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.06916559931 vs 0.14227784489218315

    Épocas × verificações

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

    Tentativas

    Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

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