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Tarefa crb_papers.q120

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
-0.0190624755 in [0.02047662782, 0.2362028541]?

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

Pergunta feita ao analista

Among firms whose directors narrowly won or lost regional single-member district elections, what is the average effect of winning office on the firm's end-of-term profit margin at the win threshold?

Resposta

Estimativa ingênua (infer.ols): coef.okrug_win = -0,01906.

Valores esperados e de onde vêm

crb_papers.q120.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 120 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['120'].effect and .standard_error
Trecho
index 120: effect 0.12834, standard_error 0.0550322
Valor como publicado
0.12833974095499084
Erro-padrão como publicado
0.0550322005797111
Valor
0,128340.12833974095499084 (se 0,05503220.0550322005797111)
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: 0,128340.12833974095499084 · relativa 0.000001 · absoluta 5.50322005797111e-8
  • #3 figura da resposta próxima: 0,05503220.0550322005797111 · relativa 0.000001 · absoluta 5.50322005797111e-8

crb_papers.q120.script

Fonte
CausalReasoningBenchmark reference estimation script for index 120
Tipo
software
Localização
solutions/research_papers/RDD/szakonyi_2018/question_2/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 1462 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
62d1208c6f5db4611830e85dc32d2af9785975bc797f9bb1a84a3de0d4f7cabb (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/szakonyi_2018/question_2/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
    -0.0190624755 in [0.02047662782, 0.2362028541]?
    obrigatóriafalhou[0.020476627818757087,0.2362028540912246]-0,0190625-0.019062475495879interval · [0.020476627818757087, 0.2362028540912246]—call_5ca6af7c
    2figura da resposta próxima
    -0.0190624755 vs 0.12833974095499084
    registradafalhou0,128340.12833974095499084-0,0190625-0.019062475495879relativa 0.000001 · absoluta 5.50322005797111e-8crb_papers.q120.goldcall_5ca6af7c
    3figura da resposta próxima
    0.02844593912 vs 0.0550322005797111
    registradafalhou0,05503220.05503220057971110,02844590.028445939115208495relativa 0.000001 · absoluta 5.50322005797111e-8crb_papers.q120.goldcall_5ca6af7c

    Caminho de referência e caminho do agente

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

    Nenhum caminho de referência registrado para esta tarefa.

    Trajetória

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

    1. 0Início

      Among firms whose directors narrowly won or lost regional single-member district elections, what is the average effect of winning office on the firm's end-of-term profit margin at the win threshold?

      ds_0085 (agent)

      | Variable Name | Description | |-------------------------------|-----------------------------------------------------------------------------------------------------| | cand_id | Unique identifier for the candidate | | okrug_id | Identifier for the single-member electoral district within a region | | okrug_win | Indicator for whether the candidate won the single-member district seat (1=yes, 0=no) | | region | Name of the Russian region (federal subject) | | margin | Candidate’s vote margin relative to the nearest rival (in share points) | | margin_i | Interaction/auxiliary term based on vote margin used in modeling | | margin_2 | Squared term of vote margin | | margin_i2 | Squared interaction/auxiliary term based on vote margin | | margin_3 | Cubic term of vote margin | | margin_i3 | Cubic interaction/auxiliary term based on vote margin | | actualendyear | Final year of the legislative convocation relevant to the candidacy | | actualstartyear | First year of the legislative convocation relevant to the candidacy | | reg_id | Numeric region code | | sector | Two‑digit industry code (All-Russian Classification/OKVED) for the firm | | age_start_l | Natural log of the candidate’s age at the time of the election | | male | Indicator for candidate gender (1=male, 0=female) | | incumbent | Indicator for whether the candidate served in the previous regional convocation | | ur | Indicator for United Russia (UR) party membership | | party_win | - | | foreign | Indicator for whether the firm has any foreign ownership | | soe | Indicator for whether the firm has any state ownership | | system_firm | Indicator for “systemically important” enterprise designation | | agriculture | Indicator for firm in agriculture/food-related sectors | | construction | Indicator for firm in the construction sector | | resources | Indicator for firm in natural resource industries (e.g., mining, oil, gas) | | immobile | Indicator for firm with immobile/specific assets (manufacturing, mining, energy, construction, ag.) | | pr_and_smd | Indicator for candidates appearing on both party list and single-member district ballots | | totalassets.s | Total assets in the pre‑election year (rubles) | | totalassets.s.l | Natural log of total assets in the pre‑election year | | fullturnover.s | Total revenue/turnover in the pre‑election year (rubles) | | fullturnover.s.l | Natural log of total revenue in the pre‑election year | | fullturnover.average.l | Average of logged revenue over the convocation window | | pmarg.s | Profit margin in the pre‑election year (net profit / revenue) | | leverage.s | Leverage in the pre‑election year (total liabilities / total assets) | | leverage.s.ihs | Inverse hyperbolic sine transform of leverage (pre‑election year) | | taxrate.s | Effective profit tax rate in the pre‑election year (profit tax paid / profit before tax) | | receivedcontracts_regmuni.s | Regional/municipal procurement contracts prior to the election (count/value indicator) | | totalassets.e | Total assets in the final year of the relevant convocation (rubles) | | totalassets.e.l | Natural log of total assets in the final year | | fullturnover.e | Total revenue/turnover in the final year (rubles) | | fullturnover.e.l | Natural log of total revenue in the final year | | pmarg.e | Profit margin in the final year | | leverage.e | Leverage in the final year (total liabilities / total assets) | | leverage.e.ihs | Inverse hyperbolic sine transform of leverage (final year) | | taxrate.e | Effective profit tax rate in the final year | | fullturnover.e.l.d | Change in logged revenue between pre‑election year and final year | | pmarg.d | Change in profit margin between pre‑election year and final year | | pmarg.average | Average profit margin over the convocation window | | receivedcontracts_regmuni | Regional/municipal procurement contracts over the convocation window (count/value indicator) | | reg_democracy_c | Carnegie regional democracy index (composite score) | | percurseats | Share of seats held by the ruling party in the regional legislature | | log_grp | Log of regional gross product per capita | | oilgas | Indicator for presence of oil/gas in the region | | ur_residuals | Residualized measure related to ruling party strength (centered) | | dem_residuals | Residualized measure related to regional democracy score (centered) | | reg_grp_pc_log_r | Logged gross regional product per capita (regional measure, rescaled) | | numcandspersector | Number of candidates from the same sector in the convocation/region | | percbus | Share of legislators with business backgrounds in the convocation | | civil_soc_c | Carnegie component score: civil society | | media_c | Carnegie component score: media | | openness_c | Carnegie component score: openness | | pluralism_c | Carnegie component score: political pluralism | | elecs_c | Carnegie component score: elections | | pol_struc_c | Carnegie component score: political structure/institutions | | director_full | Indicator that the candidate held a director/deputy director role at the firm | | full_firmname | Full legal name of the firm | | inn | Firm’s Russian taxpayer identification number (INN) | Data Description: This dataset links regional legislative candidates in Russia (2004–2011) to the private firms they led at the time of their campaigns, combining election records, firm financial statements, procurement records, and regional institutional indicators. Candidate information (districts, party affiliation, incumbency, basic demographics) is drawn from the Russian Central Election Commission and matched to firms via company registry data on directors, deputy directors, and board members. Firm-level financials (assets, revenue, profits, leverage, and tax rates) originate from the SPARK database aggregating Rosstat filings; public procurement information comes from the federal registry of regional and municipal contracts; sector codes follow the All-Russian industry classification; and regional context measures include the Carnegie democracy index, ruling-party seat shares, resource endowments, and gross regional product. Variables are provided for pre‑election and end‑of‑convocation periods, along with simple differences and averages, allowing analysts to explore patterns in firm performance and public contracting across regions, sectors, and political settings.

      file b0218ac3f69ac96fc02f62bfbf9d3a879ec0f63bde35d6ad91e92135a0da1e05 · frame —
    2. 1Turno do modelo
      call_7e4e0361naive-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_0085",
          "x": [
            "okrug_win"
          ],
          "y": "pmarg.e"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_5ca6af7cdecidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0085",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "okrug_win"
        ],
        "y": "pmarg.e"
      }
      Figuras call_5ca6af7c
      ChaveValorValor brutoErro-padrãoIC
      coef.okrug_win
      Coefficient on okrug_win in the regression of pmarg.e
      -0,0190625 -0.0190624754958790,02844590.028445939115208495-0,0748422 – 0,0367172
      Diagnósticos
      • n_obs = 2.5322532
      • k = 22
      • r2 = 0,0001538280.00015382797594110098
      • df_resid = 2.5302530
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": -0.019604757414891566,
            "ci_low": -0.07062165289363831,
            "coef": -0.04511320515426494,
            "p": 0.0005331592212193388,
            "se": 0.013008527029519492,
            "t": -3.4679718197065794,
            "term": "Intercept"
          },
          {
            "ci_high": 0.03671722574709065,
            "ci_low": -0.07484217673884866,
            "coef": -0.019062475495879,
            "p": 0.502836119156369,
            "se": 0.028445939115208495,
            "t": -0.6701299408212307,
            "term": "okrug_win"
          }
        ]
      }
      • 171 rows were dropped because one of 'pmarg.e', 'okrug_win' was missing
      Digests dos dados
      ds_0085 a031319452b722537cf763706f4c794f104c2abeda0a6a276fd432e65e241409
      sha256 do resultado
      043d138236ada79cae067435868ffaedbb593742141d8eaa0833d5ed14a900a0
    4. 3Turno do modelo
      call_54560a73naive-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.okrug_win = -0,01906.",
          "caveats": [],
          "figure_refs": [
            "call_5ca6af7c:coef.okrug_win"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      -0,01906
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.okrug_win = -0,01906.

      Figuras citadas: call_5ca6af7c:coef.okrug_win · Parada: answered
      Figura da resposta: call_5ca6af7c:coef.okrug_win = -0,0190625-0.019062475495879 (se 0,02844590.028445939115208495)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória-0.0190624755 in [0.02047662782, 0.2362028541]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada-0.0190624755 vs 0.12833974095499084
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.02844593912 vs 0.0550322005797111

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