Tarefa paper_repro.kessler_roth_2014.t18_2_twfe.agent
paper_reproagentT2publicépoca 1, tentativa 1Execução: 20261015T165911Z-suite-paper_repro-baseline-8b4f85Veredito
no answer figure: the answer cites no effect of an estimator callPergunta feita ao analista
Kessler and Roth (2014), as replicated in Huntington-Klein's The Effect (2021), chapter 18, Table 18.2 (a textbook replication, not a table of the paper): California switched the organ-donor question on its driver's licence form to active-choice phrasing in July 2011. Using the quarterly state panel from the fourth quarter of 2010 to the first quarter of 2012, estimate the difference-in-differences effect of active-choice phrasing on the share of people registering as organ donors by a two-way fixed effects regression with state and quarter fixed effects, where the treatment is being California in a quarter after the change, with standard errors clustered by state. Report the coefficient on the treatment.
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
Valores esperados e de onde vêm
kessler_roth_2014.t18_2_twfe.software
- Fonte
- linearmodels 7.0: the reference specification of kessler_roth_2014 t18_2_twfe (infer.twfe, figure 'coef.Treated') on an independent code path
- Tipo
- software
- Localização
- kessler_roth_2014: The Effect, Table 18.2 (difference-in-differences estimate of the effect of active-choice phrasing on organ donor rates), row 'Treatment'; a textbook replication of Kessler and Roth (2014)
- Valor
- -0,022459
-0.022458974358974367(se 0,00601590.0060159007295233465) - Conferido por
- execução de software · PanelOLS(Rate, [Treated], entity_effects=True, time_effects=True) indexed by (State, Quarter_Num).fit(cov_type='clustered', cluster_entity=True, group_debias=True, debiased=True, count_effects=False, auto_df=False) on organ_donations (the file pinned at sha256 b758f11dd4f32c404877bc0b79a09b09d6e074318d2f91030060c9adb26fe56a, after its 3 declared transforms); n_obs = 162. The tool infer.twfe (magi_infer, numpy) does not call linearmodels. Note: infer.twfe demeans with numpy (magi_infer.did) and fits with statsmodels, not linearmodels. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/linearmodels/7.0/
- #6 figura da resposta próxima: -0,022459
-0.022458974358974367· relativa 0.000001 · absoluta 6.015900729523346e-9 - #7 figura da resposta próxima: 0,0060159
0.0060159007295233465· relativa 0.000001 · absoluta 6.015900729523346e-9
kessler_roth_2014.t18_2_twfe.paper
- Fonte
- Huntington-Klein, N. (2021). The Effect: An Introduction to Research Design and Causality, chapter 18 (Difference-in-Differences), Table 18.2: a textbook replication of Kessler, J. B. and Roth, A. E. (2014), Don't Take 'No' for an Answer: An Experiment with Actual Organ Donor Registrations (NBER Working Paper 20378).
- Tipo
- textbook
- Localização
- The Effect, Table 18.2 (difference-in-differences estimate of the effect of active-choice phrasing on organ donor rates), row 'Treatment', column 'Organ Donation Rate'
- Página
- online edition, chapter 18, section 18.2.1, Table 18.2
- Trecho
Treatment −0.022*** (0.006)
- Valor como publicado
−0.022- Erro-padrão como publicado
0.006- Valor
- -0,022
-0.022(se 0,0060.006) organ donor registration rate (share) per unit of the treatment indicator - Conferido por
- fonte primária · Read on 2026-10-15 from the free online edition of The Effect (theeffectbook.net, chapter 18 HTML, section 18.2.1). The table comes from the book's own code, shown beside it: R feols(Rate ~ Treated | State + Quarter, vcov = ~State) on causaldata's organ_donations, Treated = California in Q32011, Q42011 or Q12012 (Stata reghdfe ... vce(cluster state); Python linearmodels PanelOLS with entity and time effects, clustered by entity). The table notes say 'Standard errors clustered at the state level'; Num.Obs. 162. This is a textbook replication of Kessler and Roth (2014), not a table of the paper. Data facts checked before any estimate: 27 states by 6 quarters, 162 rows, no missing values.
- sha256 da cópia lida
9bddd00aee9a5748158fb8a636ca1ccccf6c18e097e7cc041798462f4c8830b8(identifica a cópia lida, não um arquivo canônico)- Endereço
https://theeffectbook.net/ch-DifferenceinDifference.html- Licença
- The Effect is copyrighted (CRC Press, 2021; free online edition); cited, not reproduced.
- #8 figura da resposta próxima: -0,022
-0.022· published_cell d=3 · absoluta 0.000500001 - #9 figura da resposta próxima: 0,006
0.006· published_cell d=3 (the SE as printed) · absoluta 0.000500001
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta escolhida no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | — | — | — | — | — |
| 2 | ferramenta chamada no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | — | — | — | — | — |
| 3 | argumento igual no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | "Rate" | — | — | — | — |
| 4 | argumento igual no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | "Treated" | — | — | — | — |
| 5 | diagnóstico no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | 162162 | — | default rel 1e-6 (abs floor 1e-6) | — | — |
| 6 | figura da resposta próxima no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | -0,022459-0.022458974358974367 | — | relativa 0.000001 · absoluta 6.015900729523346e-9 | kessler_roth_2014.t18_2_twfe.software | — |
| 7 | figura da resposta próxima no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | 0,00601590.0060159007295233465 | — | relativa 0.000001 · absoluta 6.015900729523346e-9 | kessler_roth_2014.t18_2_twfe.software | — |
| 8 | figura da resposta próxima no answer figure: the answer cites no effect of an estimator call | registrada | falhou | -0,022-0.022 | — | published_cell d=3 · absoluta 0.000500001 | kessler_roth_2014.t18_2_twfe.paper | — |
| 9 | figura da resposta próxima no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,0060.006 | — | published_cell d=3 (the SE as printed) · absoluta 0.000500001 | kessler_roth_2014.t18_2_twfe.paper | — |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
a tarefa T1 do mesmo alvo (paper_repro.kessler_roth_2014.t18_2_twfe.tool)
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Kessler and Roth (2014), as replicated in Huntington-Klein's The Effect (2021), chapter 18, Table 18.2 (a textbook replication, not a table of the paper): California switched the organ-donor question on its driver's licence form to active-choice phrasing in July 2011. Using the quarterly state panel from the fourth quarter of 2010 to the first quarter of 2012, estimate the difference-in-differences effect of active-choice phrasing on the share of people registering as organ donors by a two-way fixed effects regression with state and quarter fixed effects, where the treatment is being California in a quarter after the change, with standard errors clustered by state. Report the coefficient on the treatment.
organ_donations(agent)The organ donation panel of Kessler and Roth (2014) as distributed in the causaldata package and used in Huntington-Klein's The Effect, chapter 18: one row per U.S. state and quarter, from the fourth quarter of 2010 to the first quarter of 2012 (27 states, 6 quarters). California changed the organ-donor question on its driver's licence form to active-choice phrasing in July 2011 (the third quarter of 2011); the other states did not change theirs. Columns: rownames, the row number; State, the state's name; Quarter, the quarter as text (Q42010, Q12011, Q22011, Q32011, Q42011, Q12012); Quarter_Num, the quarter as a number from 1 (Q42010) to 6 (Q12012); Rate, the organ donor registration rate (the share of people registering as donors); and the book's construction of the treatment: California, 1 for California; After, 1 for the quarters after the change (Quarter_Num above 3: Q32011, Q42011 and Q12012); Treated, California times After.
fileb758f11dd4f32c404877bc0b79a09b09d6e074318d2f91030060c9adb26fe56a· frame —derive{"args":{"cmp":"eq","column":"State","value":"California"},"name":"California","op":"indicator"}derive{"args":{"cmp":"gt","column":"Quarter_Num","value":3},"name":"After","op":"indicator"}derive{"args":{"columns":["California","After"]},"name":"Treated","op":"product"}
- 1Transformação
organ_donations·derive{"args":{"cmp":"eq","column":"State","value":"California"},"name":"California","op":"indicator"}162 → 162 linhasFrame antes → depois:66a839324c71→20bef437811a - 2Transformação
organ_donations·derive{"args":{"cmp":"gt","column":"Quarter_Num","value":3},"name":"After","op":"indicator"}162 → 162 linhasFrame antes → depois:20bef437811a→fa0dbe02ae97 - 3Transformação
organ_donations·derive{"args":{"columns":["California","After"]},"name":"Treated","op":"product"}162 → 162 linhasFrame antes → depois:fa0dbe02ae97→2c3e5c0fb179 - 4Turno do modelo
call_e72c1d3crules-1Fim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.", "caveats": [], "figure_refs": [] }
- 5Guardaresposta aceita
- Números encontrados
- —
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 6Resposta
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
Figuras citadas:—· Parada:answered - 7Pontuação#0resposta com lastropassouobrigatória
every number backed - 8Pontuação#1figura da resposta escolhidafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 9Pontuação#2ferramenta chamadafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 10Pontuação#3argumento igualfalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 11Pontuação#4argumento igualfalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 12Pontuação#5diagnósticofalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 13Pontuação#6figura da resposta próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 14Pontuação#7figura da resposta próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 15Pontuação#8figura da resposta próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 16Pontuação#9figura da resposta próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call
Épocas × verificações
| # | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|
| Época 1 | passou | falhou | falhou | falhou | falhou | falhou | falhou | 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
8552f375f32e748d4cf5e947bb1961898f0557acaecab036f021b613bb23c64bO 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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