Tarefa crb_papers.q113
Veredito
Família do método (das chamadas de ferramentas): Regressão linear por mínimos quadrados ordinários (MQO) · infer.ols (ols · regressão linear)
coef.treat =-0,174191-0.17419068541300528coef.treat =[-0.23126802785768072,-0.08083334028431302]Pergunta feita ao analista
Among non-term-limited candidates in Brazil's closely contested 2008 mayoral elections who also ran in 2012, how did winning in 2008 affect the probability of running under a different party in 2012?
Estimativa ingênua (infer.ols): coef.treat = -0,1742.
Como o agente resolveu e como foi validado
Resumo passo a passo do que o agente executou, por que o caminho está correto e como cada verificação conferiu o resultado.
- 1Preparação da base de dados
ds_0078— | Variable Name | Description | |-------------------|-------------------------------------------------------------------------------------------------| | Unnamed: 0 | Row index carried over from the original export. | | muni_code | Municipality identifier assigned by Brazil's electoral authority (TSE). | | year | Baseline mayoral election year; 2008 for every row in this extract. | | party | Party abbreviation of the focal mayoral candidate in the 2008 election. | | mun_place | Candidate's finishing position in the 2008 mayoral election: 1=winner, 2=runner-up. | | gov_party | Party abbreviation of the state governor for the municipality’s state in that cycle. | | gov_pct | Party’s vote share in the gubernatorial election within the municipality (proportion). | | de_pct | Party’s vote share for state deputy (deputado estadual) within the municipality (proportion). | | change | Candidate ran under a different party in 2012 than in 2008: 1=different party, 0=same party. The exact date of a party change is not recorded. | | attrition | Candidate did not appear in the 2012 mayoral election (1/0); always 0 in this repeat-candidate extract. | | margin | Candidate's 2008 mayoral vote margin relative to the win-loss threshold, in proportions; positive for winners and negative for runners-up. | | p_df_pct | Party’s vote share for federal deputy (deputado federal) in the previous cycle, municipality-level (proportion). | | df_pct | Party’s vote share for federal deputy (deputado federal) in the current cycle, municipality-level (proportion). | | treat | Candidate won the 2008 mayoral election: 1=winner, 0=runner-up. | | ineligible | Candidate was term-limited/ineligible to run in the next mayoral election (1/0); always 0 in this extract. | | p_de_pct | Party’s vote share for state deputy in the previous cycle, municipality-level (proportion). | | p_gov_pct | Party’s vote share for governor in the previous cycle, municipality-level (proportion). | | p_mun_pct | Party’s vote share for mayor in the previous municipal election (proportion). | | partyIncumbent | Indicator that the party held the mayor’s office prior to the municipal election (1/0). | | age | Age of the focal mayoral candidate (years). | | max_expenditure | Reported maximum campaign expenditure for the mayoral candidate (local currency; -1 indicates missing). | | married | Candidate reported marital status: married (1/0). | | unschooled | Candidate reported no formal schooling (1/0). | | tertiary | Candidate reported tertiary (college/university) education completed (1/0). | | female | Candidate sex: female (1/0). | | pt | Indicator that the candidate’s party is PT (1/0). | | pmdb | Indicator that the candidate’s party is PMDB (1/0). | | psdb | Indicator that the candidate’s party is PSDB (1/0). | | pr | Indicator that the candidate’s party is PR (1/0). | | pfl | Indicator that the candidate’s party is PFL/DEM (legacy label) (1/0). | | ptb | Indicator that the candidate’s party is PTB (1/0). | | pps | Indicator that the candidate’s party is PPS (1/0). | | pp | Indicator that the candidate’s party is PP (1/0). | | pdt | Indicator that the candidate’s party is PDT (1/0). | | psb | Indicator that the candidate’s party is PSB (1/0). | | bizz | Candidate occupation: businessperson/entrepreneur (1/0). | | rural_worker | Candidate occupation: rural worker (1/0). | | retiree | Candidate occupation: retiree/pensioner (1/0). | | trader | Candidate occupation: trader/merchant (1/0). | | public_employee | Candidate occupation: public employee/civil servant (1/0). | | teacher | Candidate occupation: teacher (1/0). | Data Description: Each row represents a first- or second-place candidate in Brazil's 2008 municipal mayoral elections. This extract contains 4,276 candidates who were not term-limited and who also appeared as mayoral candidates in 2012; year=2008, ineligible=0, and attrition=0 throughout. Comparing the candidate's party labels in the 2008 and 2012 elections establishes whether they ran under a different party in 2012. The outcome change is a binary party-switching indicator; its mean is a probability on a 0-1 scale. Candidates absent from the 2012 election are excluded, so the question concerns the observed repeat-candidate sample. This selection must be considered when interpreting a causal effect or generalizing beyond that sample. The data were compiled from election results and candidate-registration records maintained by Brazil's Tribunal Superior Eleitoral (TSE). Municipality identifiers are TSE codes. The file links candidate party affiliations across the two mayoral elections and includes 2008 election placement, vote margins, win indicators, demographics, and occupations. Municipality-level party vote shares for governor, federal deputy (deputado federal), and state deputy (deputado estadual), together with their lagged values, provide additional electoral context; they are separate from the party-switching outcome change. Party labels follow official abbreviations in use during the period, including legacy acronyms. - 2Chamada que gerou a resposta finalVer chamada call_b09729b8 nos detalhes
infer.ols(Regressão linear por mínimos quadrados ordinários (MQO))citada na respostaLinha de base ingênua: regressão do resultado no tratamento, sem controles.
Argumentos principais- dataset:
"ds_0078"- intercept:
true- level:
- 0,95
0.95 - se:
"HC1"- x:
["treat"]- y:
"change"
Resultado calculadocoef.treat= -0,174191-0.17419068541300528Coefficient on treat in the regression of change
Diagnósticos:n_obs= 4.2764276(observations used) ·k= 22(parameters estimated, fixed-effect dummies included) ·r2= 0,03812940.03812936220586616·df_resid= 4.2744274·se_type="HC1"(heteroskedasticity-robust standard errors (HC1)) - 3Conferência de lastro e resposta final
Todos os 1 números escritos na resposta foram conferidos contra as ferramentas e o enunciado (nenhum número sem lastro).
Números encontrados:-0,1742Figuras citadas:call_b09729b8:coef.treat- #0resposta com lastroevery number traced to a tool call or the question
- #1figura da resposta próximaCRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q113.gold (closed, evaluate_result.py; no --auto-rescale)
- #2figura da resposta próximareplication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required
- #3figura da resposta próximareplication cell: the gold SE to rel 1e-6; never required
Aprofundamento técnico para especialistas
Acesso direto às fontes primárias, tabela formal de verificações, comparação de argumentos, trajetória completa com prompts brutos e somas SHA-256.
Valores esperados e de onde vêm
crb_papers.q113.gold
- Fonte
- CausalReasoningBenchmark, causal_queries.json, index 113 (revision edd0fe1c1d1c)
- Tipo
- benchmark_gold
- Localização
- causal_queries.json['113'].effect and .standard_error
- Trecho
index 113: effect -0.156051, standard_error 0.0383762
- Valor como publicado
-0.15605068407099687- Erro-padrão como publicado
0.038376195809532575- Valor
- -0,156051
-0.15605068407099687(se 0,03837620.038376195809532575) - 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: -0,156051
-0.15605068407099687· relativa 0.000001 · absoluta 3.8376195809532574e-8 - #3 figura da resposta próxima: 0,0383762
0.038376195809532575· relativa 0.000001 · absoluta 3.8376195809532574e-8
crb_papers.q113.script
- Fonte
- CausalReasoningBenchmark reference estimation script for index 113
- Tipo
- software
- Localização
- solutions/research_papers/RDD/novaes_2018/question_1/estimation.py
- Valor
- —
- Conferido por
- arquivo do benchmark · sha256 of the script's 1704 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
3e4f395e90921f05458ab2186c3cc624620fd7cece0ae6138fa18e7e6e4f5b20(identifica a cópia lida, não um arquivo canônico)- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/novaes_2018/question_1/estimation.py- Licença
- MIT
Especificação técnica do gabarito
CausalReasoningBenchmark gold at the pinned revision: causal_queries.json effect and standard_error (the value the item's estimation.py prints), scored as evaluate_result.py scores estimate_within_solution_ci
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number traced to a tool call or the question every number backed | obrigatória | passou | 0 sem lastro | 0 sem lastro[] | — | — | — |
| 1 | figura da resposta próxima CRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q113.gold (closed, evaluate_result.py; no --auto-rescale) -0.1741906854 in [-0.2312680279, -0.08083334028]? | obrigatória | passou | [-0.23126802785768072,-0.08083334028431302] | -0,174191-0.17419068541300528 | interval · [-0.23126802785768072, -0.08083334028431302] | — | call_b09729b8 |
| 2 | figura da resposta próxima replication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required -0.1741906854 vs -0.15605068407099687 | registrada | falhou | -0,156051-0.15605068407099687 | -0,174191-0.17419068541300528 | relativa 0.000001 · absoluta 3.8376195809532574e-8 | crb_papers.q113.gold | call_b09729b8 |
| 3 | figura da resposta próxima replication cell: the gold SE to rel 1e-6; never required 0.0131968891 vs 0.038376195809532575 | registrada | falhou | 0,03837620.038376195809532575 | 0,01319690.013196889097503314 | relativa 0.000001 · absoluta 3.8376195809532574e-8 | crb_papers.q113.gold | call_b09729b8 |
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.
- 0Início
Among non-term-limited candidates in Brazil's closely contested 2008 mayoral elections who also ran in 2012, how did winning in 2008 affect the probability of running under a different party in 2012?
ds_0078(agent)| Variable Name | Description | |-------------------|-------------------------------------------------------------------------------------------------| | Unnamed: 0 | Row index carried over from the original export. | | muni_code | Municipality identifier assigned by Brazil's electoral authority (TSE). | | year | Baseline mayoral election year; 2008 for every row in this extract. | | party | Party abbreviation of the focal mayoral candidate in the 2008 election. | | mun_place | Candidate's finishing position in the 2008 mayoral election: 1=winner, 2=runner-up. | | gov_party | Party abbreviation of the state governor for the municipality’s state in that cycle. | | gov_pct | Party’s vote share in the gubernatorial election within the municipality (proportion). | | de_pct | Party’s vote share for state deputy (deputado estadual) within the municipality (proportion). | | change | Candidate ran under a different party in 2012 than in 2008: 1=different party, 0=same party. The exact date of a party change is not recorded. | | attrition | Candidate did not appear in the 2012 mayoral election (1/0); always 0 in this repeat-candidate extract. | | margin | Candidate's 2008 mayoral vote margin relative to the win-loss threshold, in proportions; positive for winners and negative for runners-up. | | p_df_pct | Party’s vote share for federal deputy (deputado federal) in the previous cycle, municipality-level (proportion). | | df_pct | Party’s vote share for federal deputy (deputado federal) in the current cycle, municipality-level (proportion). | | treat | Candidate won the 2008 mayoral election: 1=winner, 0=runner-up. | | ineligible | Candidate was term-limited/ineligible to run in the next mayoral election (1/0); always 0 in this extract. | | p_de_pct | Party’s vote share for state deputy in the previous cycle, municipality-level (proportion). | | p_gov_pct | Party’s vote share for governor in the previous cycle, municipality-level (proportion). | | p_mun_pct | Party’s vote share for mayor in the previous municipal election (proportion). | | partyIncumbent | Indicator that the party held the mayor’s office prior to the municipal election (1/0). | | age | Age of the focal mayoral candidate (years). | | max_expenditure | Reported maximum campaign expenditure for the mayoral candidate (local currency; -1 indicates missing). | | married | Candidate reported marital status: married (1/0). | | unschooled | Candidate reported no formal schooling (1/0). | | tertiary | Candidate reported tertiary (college/university) education completed (1/0). | | female | Candidate sex: female (1/0). | | pt | Indicator that the candidate’s party is PT (1/0). | | pmdb | Indicator that the candidate’s party is PMDB (1/0). | | psdb | Indicator that the candidate’s party is PSDB (1/0). | | pr | Indicator that the candidate’s party is PR (1/0). | | pfl | Indicator that the candidate’s party is PFL/DEM (legacy label) (1/0). | | ptb | Indicator that the candidate’s party is PTB (1/0). | | pps | Indicator that the candidate’s party is PPS (1/0). | | pp | Indicator that the candidate’s party is PP (1/0). | | pdt | Indicator that the candidate’s party is PDT (1/0). | | psb | Indicator that the candidate’s party is PSB (1/0). | | bizz | Candidate occupation: businessperson/entrepreneur (1/0). | | rural_worker | Candidate occupation: rural worker (1/0). | | retiree | Candidate occupation: retiree/pensioner (1/0). | | trader | Candidate occupation: trader/merchant (1/0). | | public_employee | Candidate occupation: public employee/civil servant (1/0). | | teacher | Candidate occupation: teacher (1/0). | Data Description: Each row represents a first- or second-place candidate in Brazil's 2008 municipal mayoral elections. This extract contains 4,276 candidates who were not term-limited and who also appeared as mayoral candidates in 2012; year=2008, ineligible=0, and attrition=0 throughout. Comparing the candidate's party labels in the 2008 and 2012 elections establishes whether they ran under a different party in 2012. The outcome change is a binary party-switching indicator; its mean is a probability on a 0-1 scale. Candidates absent from the 2012 election are excluded, so the question concerns the observed repeat-candidate sample. This selection must be considered when interpreting a causal effect or generalizing beyond that sample. The data were compiled from election results and candidate-registration records maintained by Brazil's Tribunal Superior Eleitoral (TSE). Municipality identifiers are TSE codes. The file links candidate party affiliations across the two mayoral elections and includes 2008 election placement, vote margins, win indicators, demographics, and occupations. Municipality-level party vote shares for governor, federal deputy (deputado federal), and state deputy (deputado estadual), together with their lagged values, provide additional electoral context; they are separate from the party-switching outcome change. Party labels follow official abbreviations in use during the period, including legacy acronyms.
fileaadd89d16bdebe209aec58b6b95cbf00e3f12efe912d4f83cd2383d63d8866ad· frame — - 1Turno do modelo
call_b077656enaive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelLinha de base ingênua: regressão do resultado no tratamento, sem controles.
Chamadas pedidasinfer.ols{ "dataset": "ds_0078", "x": [ "treat" ], "y": "change" }
- 2Ferramenta
infer.ols— Regressão linear por mínimos quadrados ordinários (MQO)v0.1.0call_b09729b8decidido pelo modeloreexecutávelMotivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.
Argumentos
{ "cluster": null, "controls": [], "dataset": "ds_0078", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "treat" ], "y": "change" }Figuras call_b09729b8 Chave Valor Valor bruto Erro-padrão IC coef.treat Coefficient on treat in the regression of change-0,174191 -0.174190685413005280,0131969 0.013196889097503314-0,200063 – -0,148318 Diagnósticosn_obs= 4.2764276(observations used)k= 22(parameters estimated, fixed-effect dummies included)r2= 0,03812940.03812936220586616df_resid= 4.2744274se_type="HC1"(heteroskedasticity-robust standard errors (HC1))n_clusters= — (errors not clustered)
Derivação matemática e pressupostos
coef.treat- Coeficiente de treat na regressão por mínimos quadrados ordinários de change.→ -0,174191 (-0.17419068541300528)
- Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.
ep = √V_jj→ 0,0131969 (0.013196889097503314) - Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 4274 graus de liberdade vezes o erro-padrão.
IC = β ± c · ep
Pressupostos do estimador- the conditional mean of the outcome is linear in the regressors
- errors are independent across observations; their variance may differ
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.373343220308744, "ci_low": 0.3340381505172665, "coef": 0.35369068541300525, "p": 1.4303106765182105e-239, "se": 0.010024148212571275, "t": 35.28386431571733, "term": "Intercept" }, { "ci_high": -0.1483179311396173, "ci_low": -0.20006343968639326, "coef": -0.17419068541300528, "p": 5.083719634125283e-39, "se": 0.013196889097503314, "t": -13.199374801593201, "term": "treat" } ] }Hashes SHA-256 e metadados de reprodução
- Digests dos dados
ds_00781252dbe18c01bda81be7cbcfeeb6fbc12fa1110d486d96a3b6f0a0f19602d6f3- sha256 do resultado
05445707726aa7bbfce4e07b21a3fc5038d09ac852b5e1881e9bbf931df11345
- 3Turno do modelo
call_8039283anaive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa ingênua (infer.ols): coef.treat = -0,1742.", "caveats": [], "figure_refs": [ "call_b09729b8:coef.treat" ] }
- 4Guardaresposta aceita
- Números encontrados
- -0,1742
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa ingênua (infer.ols): coef.treat = -0,1742.
Figuras citadas:call_b09729b8:coef.treat· Parada:answeredFigura da resposta:call_b09729b8:coef.treat= -0,174191-0.17419068541300528(se 0,01319690.013196889097503314) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximapassouobrigatória
-0.1741906854 in [-0.2312680279, -0.08083334028]? - 8Pontuação#2figura da resposta próximafalhouregistrada
-0.1741906854 vs -0.15605068407099687 - 9Pontuação#3figura da resposta próximafalhouregistrada
0.0131968891 vs 0.038376195809532575
Épocas × verificações
| # | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| Época 1 | passou | passou | falhou | falhou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1passoupontuada(exibindo)
Downloads desta tarefa
e08c4a4f4bd922e702f454ef360645ab466ae25234332905aa821817fc603dd8O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.
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|---|---|---|
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| native/crb_papers/crb_papers.q113.e1.a1.json | 4,1 KB | 123bf6b6799deb4af5fd74d55dc00c1e870d5cd27eac3237c35736ce11d4ea59 |
| sources/crb_papers.q113.gold.json | 1,1 KB | 2d88de90c594e92b8cc15d4bf43ceb1bc8c5663014ac703c3066f4f4502a7942 |
| sources/crb_papers.q113.script.json | 1,1 KB | 19f907b3723a99ce28f6bd808362bfba7e6f85cc3f6615b4c4d593d72a17df6a |
| specs/crb_papers.q113.json | 10,9 KB | 5fe9b4695258526f04b7e1a286c8ce324903e095195907383f67826755a30820 |
| traces/crb_papers.q113.e1.a1.jsonl | 18,8 KB | cadf5b43459af400cdecbf9f61cf66b6c5f5ddb13e8279455643fd689f8a5346 |
| trajectories/crb_papers.q113.e1.a1.jsonl | 16,4 KB | 5ba4fd2aaa57771f8674e1233d17e49f71e15f60afc8a321bd207abde6011f20 |