Tarefa crb_papers.q025
Veredito
0.0681838023 in [0.01716717746, 0.06172438118]?Família do método (das chamadas de ferramentas): ols (regression)
Pergunta feita ao analista
By how many percentage points did adopting same-day voter registration in 1996 alter a state's CPS-based voter turnout between the prior and subsequent election?
Estimativa ingênua (infer.ols): coef.temp_var = 0,06818.
Valores esperados e de onde vêm
crb_papers.q025.gold
- Fonte
- CausalReasoningBenchmark, causal_queries.json, index 25 (revision edd0fe1c1d1c)
- Tipo
- benchmark_gold
- Localização
- causal_queries.json['25'].effect and .standard_error
- Trecho
index 25: effect 0.0394458, standard_error 0.0113666
- Valor como publicado
0.03944577932061476- Erro-padrão como publicado
0.01136663360285569- Valor
- 0,0394458
0.03944577932061476(se 0,01136660.01136663360285569) - 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: 0,0394458
0.03944577932061476· relativa 0.000001 · absoluta 1.136663360285569e-8 - #3 figura da resposta próxima: 0,0113666
0.01136663360285569· relativa 0.000001 · absoluta 1.136663360285569e-8
crb_papers.q025.script
- Fonte
- CausalReasoningBenchmark reference estimation script for index 25
- Tipo
- software
- Localização
- solutions/research_papers/DiD/Grumbach_Hill/question_2/estimation.py
- Valor
- —
- Conferido por
- arquivo do benchmark · sha256 of the script's 1372 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
a7975d0d6aec7940d4ddd66d9f4a9fa2df72ea139c45de7678e3e145e8421e28(identifica a cópia lida, não um arquivo canônico)- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/DiD/Grumbach_Hill/question_2/estimation.py- Licença
- MIT
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta próxima 0.0681838023 in [0.01716717746, 0.06172438118]? | obrigatória | falhou | [0.017167177459017604,0.06172438118221191] | 0,06818380.06818380229518727 | interval · [0.017167177459017604, 0.06172438118221191] | — | call_16eb6944 |
| 2 | figura da resposta próxima 0.0681838023 vs 0.03944577932061476 | registrada | falhou | 0,03944580.03944577932061476 | 0,06818380.06818380229518727 | relativa 0.000001 · absoluta 1.136663360285569e-8 | crb_papers.q025.gold | call_16eb6944 |
| 3 | figura da resposta próxima 0.01250342931 vs 0.01136663360285569 | registrada | falhou | 0,01136660.01136663360285569 | 0,01250340.012503429308683423 | relativa 0.000001 · absoluta 1.136663360285569e-8 | crb_papers.q025.gold | call_16eb6944 |
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
| Argumento | Referência | Agente | |
|---|---|---|---|
| cluster | "state" | — | diferente |
| controls | ["treated","post"] | [] | diferente |
| dataset | "ref_panel" | "ds_0013" | diferente |
| fe | — | [] | não fixado pela referência |
| intercept | — | true | não fixado pela referência |
| level | — | 0,950.95 | não fixado pela referência |
| se | — | "HC1" | não fixado pela referência |
| subset | — | — | não fixado pela referência |
| weights | — | — | não fixado pela referência |
| x | ["treated_post"] | ["temp_var"] | diferente |
| y | "voted" | "voted" | igual |
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
By how many percentage points did adopting same-day voter registration in 1996 alter a state's CPS-based voter turnout between the prior and subsequent election?
ds_0013(agent)| Variable Name | Description | | --- | --- | | voted | State-year turnout rate (0–1), aggregated from the Census Bureau’s Current Population Survey Voting and Registration Supplement. Computed as the share of adult residents surveyed in that state and year who report having voted in the November general election. Includes both presidential and midterm cycles and reflects CPS’s biennial November fielding and weighting. | | temp_var | Indicator (0/1) that residents could register and cast a ballot on the same day in that state and year. Status reflects the first general election in which the option was implemented, and remains 1 thereafter. Codings draw on legislative and administrative sources and treat Election Day registration as part of the same “same-day” category. | | state | U.S. state name corresponding to each panel unit. | | year | Calendar election year (even-numbered), matching the CPS Voter Supplement cycle and covering both presidential and midterm general elections. | Dataset Context: This file is a state-by-year panel spanning 1980–2018 that aligns survey-based measures of participation with the timing of state registration rules. Turnout is derived from the Census Bureau’s Current Population Survey (CPS) Voting and Registration Supplement, a large, nationally representative survey of the civilian, noninstitutionalized population conducted every two years in November. The CPS asks respondents whether they voted in the most recent general election and provides sampling weights to recover population-representative estimates. Aggregating these responses to the state-year level yields a consistent series of turnout rates across both presidential and midterm elections. As with any self-reported voting measure, the CPS can modestly overstate participation, but it is widely used for its coverage, consistent questionnaire, and long time span. Policy status for same-day registration is compiled from legislative and administrative references, including nonpartisan compilations and state records, and is coded to reflect the first election in which residents could register and vote on the same day. Jurisdictions that permit registration on Election Day itself are included under the same umbrella as those allowing same-day registration during an early voting window. Once a state implements the option, its indicator remains active in subsequent even-year elections unless the policy is rescinded. By harmonizing CPS-based turnout with the timing of registration options, the dataset supports comparisons of participation patterns across places and over time. The panel includes both high-salience presidential contests and midterm cycles, allowing researchers to examine differences that can arise across election types while working with a uniform measurement framework.
file5b884bcf1e4ee621cad50fd984e81c33cf38702b12ff606d79bfa868f56d9acb· frame —ref_panel(reference)file5b884bcf1e4ee621cad50fd984e81c33cf38702b12ff606d79bfa868f56d9acb· frame —select{"columns":["voted","temp_var","state","year"]}dropna{"columns":["voted","temp_var","state","year"]}filter{"query":"year in [1994, 1996]"}merge{"how":"left","on":["state"],"with":"ref_years"}filter{"query":"nyears == 2"}merge{"how":"inner","on":["state"],"with":"ref_pre"}merge{"how":"inner","on":["state"],"with":"ref_post"}filter{"query":"t_pre == 0 and (t_post == 1 or t_post == 0)"}derive{"args":{"cmp":"eq","column":"t_post","value":1},"name":"treated","op":"indicator"}derive{"args":{"cmp":"eq","column":"year","value":1996},"name":"post","op":"indicator"}derive{"args":{"columns":["treated","post"]},"name":"treated_post","op":"interaction"}
ref_post(reference)file5b884bcf1e4ee621cad50fd984e81c33cf38702b12ff606d79bfa868f56d9acb· frame —select{"columns":["voted","temp_var","state","year"]}dropna{"columns":["voted","temp_var","state","year"]}filter{"query":"year == 1996"}collapse{"aggs":[{"column":"temp_var","fn":"max","name":"t_post"}],"by":["state"]}
ref_pre(reference)file5b884bcf1e4ee621cad50fd984e81c33cf38702b12ff606d79bfa868f56d9acb· frame —select{"columns":["voted","temp_var","state","year"]}dropna{"columns":["voted","temp_var","state","year"]}filter{"query":"year == 1994"}collapse{"aggs":[{"column":"temp_var","fn":"max","name":"t_pre"}],"by":["state"]}
ref_years(reference)file5b884bcf1e4ee621cad50fd984e81c33cf38702b12ff606d79bfa868f56d9acb· frame —select{"columns":["voted","temp_var","state","year"]}dropna{"columns":["voted","temp_var","state","year"]}filter{"query":"year in [1994, 1996]"}collapse{"aggs":[{"column":"voted","fn":"count","name":"n"}],"by":["state","year"]}collapse{"aggs":[{"column":"n","fn":"count","name":"nyears"}],"by":["state"]}
- 1Turno do modelo
call_ce5e3d4enaive-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_0013", "x": [ "temp_var" ], "y": "voted" }
- 2Ferramenta
infer.olsv0.1.0call_16eb6944decidido pelo modeloreexecutávelMotivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.
Argumentos
{ "cluster": null, "controls": [], "dataset": "ds_0013", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "temp_var" ], "y": "voted" }Figuras call_16eb6944 Chave Valor Valor bruto Erro-padrão IC coef.temp_var Coefficient on temp_var in the regression of voted0,0681838 0.068183802295187270,0125034 0.0125034293086834230,0436472 – 0,0927204 Diagnósticosn_obs= 980980k= 22r2= 0,03599980.03599979646797158df_resid= 978978se_type="HC1"n_clusters= —
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.31614068378184607, "ci_low": 0.2997904191642978, "coef": 0.3079655514730719, "p": 0, "se": 0.0041659005540643475, "t": 73.9253247830445, "term": "Intercept" }, { "ci_high": 0.09272043911244535, "ci_low": 0.043647165477929184, "coef": 0.06818380229518727, "p": 6.265831878856374e-8, "se": 0.012503429308683423, "t": 5.453208124896964, "term": "temp_var" } ] }- Digests dos dados
ds_00139b5a550f37a1fdaed15fefa260950e8b6ec3e25fd303fc640d93ad9f5ca9bf02- sha256 do resultado
846269d852892db51ea0b185b013e92a1e567afa76068b02e9c91eb4226c607b
- 3Turno do modelo
call_9c66de89naive-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.temp_var = 0,06818.", "caveats": [], "figure_refs": [ "call_16eb6944:coef.temp_var" ] }
- 4Guardaresposta aceita
- Números encontrados
- 0,06818
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa ingênua (infer.ols): coef.temp_var = 0,06818.
Figuras citadas:call_16eb6944:coef.temp_var· Parada:answeredFigura da resposta:call_16eb6944:coef.temp_var= 0,06818380.06818380229518727(se 0,01250340.012503429308683423) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
0.0681838023 in [0.01716717746, 0.06172438118]? - 8Pontuação#2figura da resposta próximafalhouregistrada
0.0681838023 vs 0.03944577932061476 - 9Pontuação#3figura da resposta próximafalhouregistrada
0.01250342931 vs 0.01136663360285569
Épocas × verificações
| # | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| Época 1 | passou | falhou | falhou | falhou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1falhoupontuada(exibindo)
Downloads desta tarefa
9bf72965eb7e738bf1d3b3cf1af74a63c9c7a36aefac7e49e2317990e6a01543O 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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