Tarefa crb_papers.q037
crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T170050Z-suite-crb_papers-scripted-8b13b2Veredito
Família do método (das chamadas de ferramentas): ols (regression)
Pergunta feita ao analista
Did designation as fully exempt from short-sale price restrictions alter the probability that firms reported any federal lobbying activity between 2002 and 2006?
Estimativa (infer.ols): coef.treated = 0,03142. Reference path transcribed from the item's own estimation script.
Valores esperados e de onde vêm
crb_papers.q037.gold
- Fonte
- CausalReasoningBenchmark, causal_queries.json, index 37 (revision edd0fe1c1d1c)
- Tipo
- benchmark_gold
- Localização
- causal_queries.json['37'].effect and .standard_error
- Trecho
index 37: effect 0.031416, standard_error 0.0141338
- Valor como publicado
0.0314159748362815- Erro-padrão como publicado
0.014133833889299082- Valor
- 0,031416
0.0314159748362815(se 0,01413380.014133833889299082) - 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: 0,031416
0.0314159748362815· relativa 0.000001 · absoluta 1.4133833889299081e-8 - #3 figura da resposta próxima: 0,0141338
0.014133833889299082· relativa 0.000001 · absoluta 1.4133833889299081e-8
crb_papers.q037.script
- Fonte
- CausalReasoningBenchmark reference estimation script for index 37
- Tipo
- software
- Localização
- solutions/research_papers/DiD/Kroeger_Silfa_2023/question_2/estimation.py
- Valor
- —
- Conferido por
- arquivo do benchmark · sha256 of the script's 1687 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
c833fccb4d1faf1c5b46272f460870d4ac8d125aa40ec07fb1860bf6648360f7(identifica a cópia lida, não um arquivo canônico)- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/DiD/Kroeger_Silfa_2023/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 0.03141597484 in [0.003713660413, 0.05911828926]? | obrigatória | passou | [0.003713660413255302,0.059118289259307705] | 0,0314160.031415974836281134 | interval · [0.003713660413255302, 0.059118289259307705] | — | call_67d201f2 |
| 2 | figura da resposta próxima 0.03141597484 vs 0.0314159748362815 | registrada | passou | 0,0314160.0314159748362815 | 0,0314160.031415974836281134 | relativa 0.000001 · absoluta 1.4133833889299081e-8 | crb_papers.q037.gold | call_67d201f2 |
| 3 | figura da resposta próxima 0.01413383389 vs 0.014133833889299082 | registrada | passou | 0,01413380.014133833889299082 | 0,01413380.01413383388929902 | relativa 0.000001 · absoluta 1.4133833889299081e-8 | crb_papers.q037.gold | call_67d201f2 |
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 | "ticker" | "ticker" | igual |
| controls | ["post","ever_treated"] | ["post","ever_treated"] | igual |
| dataset | "ref_panel" | "ref_panel" | igual |
| 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"] | ["treated"] | igual |
| y | "lobby" | "lobby" | igual |
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Did designation as fully exempt from short-sale price restrictions alter the probability that firms reported any federal lobbying activity between 2002 and 2006?
ds_0019(agent)| Variable Name | Description | | --- | --- | | treated | Binary indicator (0/1) for whether the company’s security was listed by the U.S. Securities and Exchange Commission (SEC) as fully exempt from short-sale price tests under the Regulation SHO pilot in that calendar year. Based on official SEC pilot rosters first released in 2004 and updated in April 2005. Values are 1 in years when the exemption applied (primarily 2005–2007) and 0 otherwise (pre-pilot years are coded 0). | | lobby | Binary indicator (0/1) for whether the company reported any federally registered lobbying activity during the calendar year, as recorded in LobbyView from Lobbying Disclosure Act (LDA) filings. This captures participation (any filing recorded) rather than amounts or targets. | | ticker | Stock ticker symbol used to identify the firm across years. Tickers reflect exchange-listed identifiers for Russell 3000 companies in the early-to-mid 2000s; symbols may change over time due to corporate actions. | | year | Calendar year of the observation (2002–2007). | Dataset Context: This panel links two administrative sources for U.S. publicly traded firms in the Russell 3000 around the mid-2000s. One source is the SEC’s Regulation SHO pilot, adopted in 2004 to study market effects of relaxing short-sale price tests. The pilot began on May 2, 2005, and concluded on August 6, 2007. To populate the pilot roster, the SEC sorted securities by exchange, ranked them using prior-year average daily dollar volume, and selected every third stock for full exemption from short-sale price tests. The Commission released an initial list in 2004 and an updated list in April 2005 to reflect mergers, delistings, and other corporate changes during implementation. The second source is LobbyView, which compiles federal lobbying registrations and periodic activity reports mandated by the Lobbying Disclosure Act. During 2002–2007, filings were made on a semiannual schedule and include the registrant, clients, and issues lobbied. For this dataset, those filings are harmonized to a firm-year indicator that flags whether a company is observed to have any registered federal lobbying activity in a given calendar year. Each row in the file represents a ticker–year pairing from 2002 through 2007, spanning pre-pilot and pilot periods. Because the composition of exchange-listed firms evolves, the panel reflects contemporaneous Russell 3000 constituents and incorporates SEC updates to pilot participation where securities were added or removed due to corporate events. The resulting structure enables researchers to observe, for each firm and year, its exemption status under the SEC pilot and whether it engaged in registered federal lobbying, alongside stable identifiers and a consistent annual time scale.
filedf584143267596bb0072e20d3c0d280681eb8d7110ec9f356bc1ad8a1108570d· frame —ref_ever(reference)filedf584143267596bb0072e20d3c0d280681eb8d7110ec9f356bc1ad8a1108570d· frame —select{"columns":["treated","lobby","ticker","year"]}dropna{"columns":["year","treated","lobby","ticker"]}filter{"query":"year in [2002, 2006]"}collapse{"aggs":[{"column":"treated","fn":"max","name":"ever_treated"}],"by":["ticker"]}
ref_panel(reference)filedf584143267596bb0072e20d3c0d280681eb8d7110ec9f356bc1ad8a1108570d· frame —select{"columns":["treated","lobby","ticker","year"]}dropna{"columns":["year","treated","lobby","ticker"]}filter{"query":"year in [2002, 2006]"}merge{"how":"left","on":["ticker"],"with":"ref_years"}filter{"query":"nyears == 2"}merge{"how":"inner","on":["ticker"],"with":"ref_ever"}derive{"args":{"cmp":"eq","column":"year","value":2006},"name":"post","op":"indicator"}
ref_years(reference)filedf584143267596bb0072e20d3c0d280681eb8d7110ec9f356bc1ad8a1108570d· frame —select{"columns":["treated","lobby","ticker","year"]}dropna{"columns":["year","treated","lobby","ticker"]}filter{"query":"year in [2002, 2006]"}collapse{"aggs":[{"column":"lobby","fn":"count","name":"n"}],"by":["ticker","year"]}collapse{"aggs":[{"column":"n","fn":"count","name":"nyears"}],"by":["ticker"]}
- 1Transformação
ref_years·select{"columns":["treated","lobby","ticker","year"]}17010 → 17010 linhasFrame antes → depois:053d54092dea→053d54092dea - 2Transformação
ref_years·dropna{"columns":["year","treated","lobby","ticker"]}17010 → 17010 linhasFrame antes → depois:053d54092dea→053d54092dea - 3Transformação
ref_years·filter{"query":"year in [2002, 2006]"}17010 → 5670 linhasFrame antes → depois:053d54092dea→461e048c621f - 4Transformação
ref_years·collapse{"aggs":[{"column":"lobby","fn":"count","name":"n"}],"by":["ticker","year"]}5670 → 5670 linhasFrame antes → depois:461e048c621f→eccb83382cfa - 5Transformação
ref_years·collapse{"aggs":[{"column":"n","fn":"count","name":"nyears"}],"by":["ticker"]}5670 → 2835 linhasFrame antes → depois:eccb83382cfa→c1ec65da028a - 6Transformação
ref_ever·select{"columns":["treated","lobby","ticker","year"]}17010 → 17010 linhasFrame antes → depois:053d54092dea→053d54092dea - 7Transformação
ref_ever·dropna{"columns":["year","treated","lobby","ticker"]}17010 → 17010 linhasFrame antes → depois:053d54092dea→053d54092dea - 8Transformação
ref_ever·filter{"query":"year in [2002, 2006]"}17010 → 5670 linhasFrame antes → depois:053d54092dea→461e048c621f - 9Transformação
ref_ever·collapse{"aggs":[{"column":"treated","fn":"max","name":"ever_treated"}],"by":["ticker"]}5670 → 2835 linhasFrame antes → depois:461e048c621f→0d941e3038ab - 10Transformação
ref_panel·select{"columns":["treated","lobby","ticker","year"]}17010 → 17010 linhasFrame antes → depois:053d54092dea→053d54092dea - 11Transformação
ref_panel·dropna{"columns":["year","treated","lobby","ticker"]}17010 → 17010 linhasFrame antes → depois:053d54092dea→053d54092dea - 12Transformação
ref_panel·filter{"query":"year in [2002, 2006]"}17010 → 5670 linhasFrame antes → depois:053d54092dea→461e048c621f - 13Transformação
ref_panel·merge{"how":"left","on":["ticker"],"with":"ref_years"}5670 → 5670 linhasFrame antes → depois:461e048c621f→afa6a0fc593d - 14Transformação
ref_panel·filter{"query":"nyears == 2"}5670 → 5670 linhasFrame antes → depois:afa6a0fc593d→afa6a0fc593d - 15Transformação
ref_panel·merge{"how":"inner","on":["ticker"],"with":"ref_ever"}5670 → 5670 linhasFrame antes → depois:afa6a0fc593d→d77ab9c4d1bb - 16Transformação
ref_panel·derive{"args":{"cmp":"eq","column":"year","value":2006},"name":"post","op":"indicator"}5670 → 5670 linhasFrame antes → depois:d77ab9c4d1bb→d46fe601ac0e - 17Turno do modelo
call_a588c170referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelsmf.ols('lobby ~ post + ever_treated + treated').fit(cov_type='cluster', groups=ticker) (CR1 errors with statsmodels' default G/(G-1)·(N-1)/(N-K) correction)
Chamadas pedidasinfer.ols{ "cluster": "ticker", "controls": [ "post", "ever_treated" ], "dataset": "ref_panel", "x": [ "treated" ], "y": "lobby" }
- 18Ferramenta
infer.olsv0.1.0call_67d201f2decidido pelo modeloreexecutávelMotivo: smf.ols('lobby ~ post + ever_treated + treated').fit(cov_type='cluster', groups=ticker) (CR1 errors with statsmodels' default G/(G-1)·(N-1)/(N-K) correction)
Argumentos
{ "cluster": "ticker", "controls": [ "post", "ever_treated" ], "dataset": "ref_panel", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "treated" ], "y": "lobby" }Figuras call_67d201f2 Chave Valor Valor bruto Erro-padrão IC coef.treated Coefficient on treated in the regression of lobby0,031416 0.0314159748362811340,0141338 0.014133833889299020,00370233 – 0,0591296 Diagnósticosn_obs= 5.6705670k= 44r2= 0,003694930.003694933910306286df_resid= 5.6665666se_type="cluster"n_clusters= 2.8352835
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.2982178167343167, "ci_low": 0.25780755324454163, "coef": 0.27801268498942916, "p": 6.872283141367422e-143, "se": 0.010304527336758984, "t": 26.979663977180603, "term": "Intercept" }, { "ci_high": 0.059129616273760496, "ci_low": 0.003702333398801768, "coef": 0.031415974836281134, "p": 0.026311304113811117, "se": 0.01413383388929902, "t": 2.2227496857782327, "term": "treated" }, { "ci_high": 0.0580728060936879, "ci_low": 0.02543670764838398, "coef": 0.04175475687103594, "p": 5.56348810166744e-7, "se": 0.008322132536450427, "t": 5.0173145750987125, "term": "post" }, { "ci_high": 0.006515033124303477, "ci_low": -0.06201018040963055, "coef": -0.027747573642663535, "p": 0.11240804204611904, "se": 0.017473777083793045, "t": -1.5879551118000386, "term": "ever_treated" } ] }- Digests dos dados
ref_paneld46fe601ac0edfa55aeef72cc5c4e0a09782418f70d21623b56cd8d70128dd45- sha256 do resultado
160697367d5d411a8fced740aba7b03682daa106ebdb5d952b0843c076adde15
- 19Turno do modelo
call_357b2ba3referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.ols): coef.treated = 0,03142. Reference path transcribed from the item's own estimation script.", "caveats": [], "figure_refs": [ "call_67d201f2:coef.treated" ] }
- 20Guardaresposta aceita
- Números encontrados
- 0,03142
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 21Resposta
Estimativa (infer.ols): coef.treated = 0,03142. Reference path transcribed from the item's own estimation script.
Figuras citadas:call_67d201f2:coef.treated· Parada:answeredFigura da resposta:call_67d201f2:coef.treated= 0,0314160.031415974836281134(se 0,01413380.01413383388929902) - 22Pontuação#0resposta com lastropassouobrigatória
every number backed - 23Pontuação#1figura da resposta próximapassouobrigatória
0.03141597484 in [0.003713660413, 0.05911828926]? - 24Pontuação#2figura da resposta próximapassouregistrada
0.03141597484 vs 0.0314159748362815 - 25Pontuação#3figura da resposta próximapassouregistrada
0.01413383389 vs 0.014133833889299082
Épocas × verificações
| # | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| Época 1 | passou | passou | passou | passou |
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
8b68ffab69f352c1802b88f29d5b03917b61fcb2819720f6974b815b492091d4O 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.
| Arquivo | Tamanho | sha256 |
|---|---|---|
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| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
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| sources/crb_papers.q037.gold.json | 1,1 KB | 9aeb9acba3115b74443500b11b291c87244bdcc43897db537c2a8d81d71d291f |
| sources/crb_papers.q037.script.json | 1,1 KB | 5bcedf296473fd4e73d66ab285f4c1a2ab8d14b5c81bf7edd50b1c778586fa62 |
| specs/crb_papers.q037.json | 10,7 KB | ae258d672397e46077f906b4378b1cd2970c900e8c9d9dc268ae6b1e0ecfc778 |
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| trajectories/crb_papers.q037.e1.a1.jsonl | 23,4 KB | 15e1214f2093b7efb976c508a489c715139688d96a9bf38fd171e163c6bedc6f |