Tarefa paper_repro.callaway_santanna_2021.mpdta_event_time.agent
paper_reproagentT2publicépoca 1, tentativa 1Execução: 20261015T165911Z-suite-paper_repro-baseline-8b4f85Veredito
no answer figure: the answer cites no effect of an estimator call0.030506655583292096Pergunta feita ao analista
Callaway and Sant'Anna (2021), 'Difference-in-Differences with Multiple Time Periods', as in the did package's documented example on its county panel (2003-2007): estimate the group-time average treatment effects of a state minimum-wage increase on log county teen employment, using the never-treated counties as the comparison group, no covariates and the package's default (varying) base period, and aggregate them by time since adoption into the event-study (dynamic) effects, from three periods before adoption to three after, weighting the cohorts by their size. Report the dynamic effects.
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
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
mpdta— The did package's example panel mpdta (Callaway and Sant'Anna 2021): county-level teen employment in 500 U.S. counties, 2003-2007, one row per county and year. Some states first raised their minimum wage in 2004, some in 2006 and some in 2007; the others did not in the window. Columns: countyreal, the county id; year; lemp, the log of county teen employment; lpop, the log of county population; first_treat, the year the county's state first raised its minimum wage (2004, 2006 or 2007; 0 for counties never treated in the window); treat, 1 for counties in states that raised it at some point in the window.Transformação "rename" aplicada à base "mpdta" (2500 → 2500 linhas).{"map":{"first.treat":"first_treat"}} - 2Conferência de lastro e resposta final
Todos os 0 números escritos na resposta foram conferidos contra as ferramentas e o enunciado (nenhum número sem lastro).
- #0resposta com lastroGarante que todo número citado no texto veio de uma ferramenta ou do enunciado (sem cálculo mental do modelo).
- #1figura da resposta escolhidaan answer figure: the effect of an estimator call the answer cites
- #2ferramenta chamada
infer.did_staggeredExige que o resultado venha da ferramenta infer.did_staggered. - #3argumento igual
youtcome: log county teen employment - #4argumento igual
first_treatthe adoption cohort column - #5argumento igual
unitthe county id - #6argumento igual
control_groupnever-treated counties as the comparison group - #7diagnóstico
n_unitsConfere o diagnóstico "n_units" reportado pela ferramenta. - #8célula de tabela próxima
event_time.attsoftware reference, cell e_m3 - #9célula de tabela próxima
event_time.attpublished cell e_m3: recorded, never required on T2/T3 - #10célula de tabela próxima
event_time.sepublished cell e_m3, SE: recorded, never required on T2/T3 - #11célula de tabela próxima
event_time.attsoftware reference, cell e_m2 - #12célula de tabela próxima
event_time.attpublished cell e_m2: recorded, never required on T2/T3 - #13célula de tabela próxima
event_time.sepublished cell e_m2, SE: recorded, never required on T2/T3 - #14célula de tabela próxima
event_time.attsoftware reference, cell e_m1 - #15célula de tabela próxima
event_time.attpublished cell e_m1: recorded, never required on T2/T3 - #16célula de tabela próxima
event_time.sepublished cell e_m1, SE: recorded, never required on T2/T3 - #17célula de tabela próxima
event_time.attsoftware reference, cell e_0 - #18célula de tabela próxima
event_time.attpublished cell e_0: recorded, never required on T2/T3 - #19célula de tabela próxima
event_time.sepublished cell e_0, SE: recorded, never required on T2/T3 - #20célula de tabela próxima
event_time.attsoftware reference, cell e_1 - #21célula de tabela próxima
event_time.attpublished cell e_1: recorded, never required on T2/T3 - #22célula de tabela próxima
event_time.sepublished cell e_1, SE: recorded, never required on T2/T3 - #23célula de tabela próxima
event_time.attsoftware reference, cell e_2 - #24célula de tabela próxima
event_time.attpublished cell e_2: recorded, never required on T2/T3 - #25célula de tabela próxima
event_time.sepublished cell e_2, SE: recorded, never required on T2/T3 - #26célula de tabela próxima
event_time.attsoftware reference, cell e_3 - #27célula de tabela próxima
event_time.attpublished cell e_3: recorded, never required on T2/T3 - #28célula de tabela próxima
event_time.sepublished cell e_3, SE: recorded, never required on T2/T3
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
callaway_santanna_2021.mpdta_event_time.e_m3.software
- Fonte
- pandas 3.0.5: the reference specification of callaway_santanna_2021 mpdta_event_time (infer.did_staggered, table 'event_time' row {'e': -3} column 'att') on an independent code path
- Tipo
- software
- Localização
- callaway_santanna_2021: did package home page (2.5.1), mpdta example, summary(aggte(out, type = 'dynamic')): the 7 event-time effects (the overall dynamic average, a mean over event times from 0, is not a cell any tool states and is not checked); cell e_m3
- Valor
- 0,0305067
0.030506655583292096 - Conferido por
- execução de software · group means of the lemp change from the base period (g - 1 from adoption, t - 1 before it), cohort minus never-treated, weighted by cohort size over the cohorts at each event time: event_time {'e': -3} on mpdta (the file pinned at sha256 0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4, after its 1 declared transforms); n_units = 500. The tool infer.did_staggered (magi_infer, numpy) does not call pandas. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/pandas/3.0.5/
- #8 célula de tabela próxima: 0,0305067
0.030506655583292096· relativa 0.000001 · absoluta 1.54e-8
callaway_santanna_2021.mpdta_event_time.e_m3.paper
- Fonte
- Callaway, B. and Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics 225(2): 200-230. Cells from the did R package's documented example on its mpdta data (a software reference benchmark, not a table of the paper).
- Tipo
- paper
- Localização
- summary(aggte(out, type = 'dynamic')), 'Dynamic Effects': Event time -3, Estimate and Std. Error
- Página
- did package home page (pkgdown, version badge 2.5.1), mpdta example: package documentation example, not a page of the article
- Trecho
-3 0.0305 0.0154
- Valor como publicado
0.0305- Erro-padrão como publicado
0.0154- Valor
- 0,0305
0.0305(se 0,01540.0154) log county teen employment - Conferido por
- fonte primária · The did package's pkgdown home page (version badge 2.5.1), section on mpdta: summary(out) prints 'Group-Time Average Treatment Effects' (Group, Time, ATT(g,t), Std. Error) and summary(aggte(out, type = 'dynamic')) prints the overall event-study ATT. Read from the HTML text on 2026-10-15. The SEs are multiplier-bootstrap SEs and differ from the 2026-10-14 research note's copy (0.0243 and 0.0203 there, 0.0246 and 0.0219 now), so they are recorded and never required. The point estimates are deterministic group means; the SEs are multiplier-bootstrap draws, recorded and never required (the target's SE policy). Recorded before the tool was run on these cells: the cells were committed in the pending spec (75c3415) and the tool probed only after that commit.
- sha256 da cópia lida
c80dc726b2bafc59c89d6c3bd22f4f717833d2fedb14388911ac7f369391c558(identifica a cópia lida, não um arquivo canônico)- Endereço
https://bcallaway11.github.io/did/- Licença
- did package documentation (GPL-2); cited, not reproduced.
- #9 célula de tabela próxima: 0,0305
0.0305· published_cell d=4 · absoluta 0.000050001000000000005 - #10 célula de tabela próxima: 0,0154
0.0154· published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005
callaway_santanna_2021.mpdta_event_time.e_m2.software
- Fonte
- pandas 3.0.5: the reference specification of callaway_santanna_2021 mpdta_event_time (infer.did_staggered, table 'event_time' row {'e': -2} column 'att') on an independent code path
- Tipo
- software
- Localização
- callaway_santanna_2021: did package home page (2.5.1), mpdta example, summary(aggte(out, type = 'dynamic')): the 7 event-time effects (the overall dynamic average, a mean over event times from 0, is not a cell any tool states and is not checked); cell e_m2
- Valor
- -0,000563085
-0.0005630846263852302 - Conferido por
- execução de software · group means of the lemp change from the base period (g - 1 from adoption, t - 1 before it), cohort minus never-treated, weighted by cohort size over the cohorts at each event time: event_time {'e': -2} on mpdta (the file pinned at sha256 0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4, after its 1 declared transforms); n_units = 500. The tool infer.did_staggered (magi_infer, numpy) does not call pandas. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/pandas/3.0.5/
- #11 célula de tabela próxima: -0,000563085
-0.0005630846263852302· relativa 0.000001 · absoluta 1.3199999999999999e-8
callaway_santanna_2021.mpdta_event_time.e_m2.paper
- Fonte
- Callaway, B. and Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics 225(2): 200-230. Cells from the did R package's documented example on its mpdta data (a software reference benchmark, not a table of the paper).
- Tipo
- paper
- Localização
- summary(aggte(out, type = 'dynamic')), 'Dynamic Effects': Event time -2, Estimate and Std. Error
- Página
- did package home page (pkgdown, version badge 2.5.1), mpdta example: package documentation example, not a page of the article
- Trecho
-2 -0.0006 0.0132
- Valor como publicado
-0.0006- Erro-padrão como publicado
0.0132- Valor
- -0,0006
-0.0006(se 0,01320.0132) log county teen employment - Conferido por
- fonte primária · The did package's pkgdown home page (version badge 2.5.1), section on mpdta: summary(out) prints 'Group-Time Average Treatment Effects' (Group, Time, ATT(g,t), Std. Error) and summary(aggte(out, type = 'dynamic')) prints the overall event-study ATT. Read from the HTML text on 2026-10-15. The SEs are multiplier-bootstrap SEs and differ from the 2026-10-14 research note's copy (0.0243 and 0.0203 there, 0.0246 and 0.0219 now), so they are recorded and never required. The point estimates are deterministic group means; the SEs are multiplier-bootstrap draws, recorded and never required (the target's SE policy). Recorded before the tool was run on these cells: the cells were committed in the pending spec (75c3415) and the tool probed only after that commit.
- sha256 da cópia lida
c80dc726b2bafc59c89d6c3bd22f4f717833d2fedb14388911ac7f369391c558(identifica a cópia lida, não um arquivo canônico)- Endereço
https://bcallaway11.github.io/did/- Licença
- did package documentation (GPL-2); cited, not reproduced.
- #12 célula de tabela próxima: -0,0006
-0.0006· published_cell d=4 · absoluta 0.000050001000000000005 - #13 célula de tabela próxima: 0,0132
0.0132· published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005
callaway_santanna_2021.mpdta_event_time.e_m1.software
- Fonte
- pandas 3.0.5: the reference specification of callaway_santanna_2021 mpdta_event_time (infer.did_staggered, table 'event_time' row {'e': -1} column 'att') on an independent code path
- Tipo
- software
- Localização
- callaway_santanna_2021: did package home page (2.5.1), mpdta example, summary(aggte(out, type = 'dynamic')): the 7 event-time effects (the overall dynamic average, a mean over event times from 0, is not a cell any tool states and is not checked); cell e_m1
- Valor
- -0,0244587
-0.024458744971168973 - Conferido por
- execução de software · group means of the lemp change from the base period (g - 1 from adoption, t - 1 before it), cohort minus never-treated, weighted by cohort size over the cohorts at each event time: event_time {'e': -1} on mpdta (the file pinned at sha256 0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4, after its 1 declared transforms); n_units = 500. The tool infer.did_staggered (magi_infer, numpy) does not call pandas. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/pandas/3.0.5/
- #14 célula de tabela próxima: -0,0244587
-0.024458744971168973· relativa 0.000001 · absoluta 1.5299999999999998e-8
callaway_santanna_2021.mpdta_event_time.e_m1.paper
- Fonte
- Callaway, B. and Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics 225(2): 200-230. Cells from the did R package's documented example on its mpdta data (a software reference benchmark, not a table of the paper).
- Tipo
- paper
- Localização
- summary(aggte(out, type = 'dynamic')), 'Dynamic Effects': Event time -1, Estimate and Std. Error
- Página
- did package home page (pkgdown, version badge 2.5.1), mpdta example: package documentation example, not a page of the article
- Trecho
-1 -0.0245 0.0153
- Valor como publicado
-0.0245- Erro-padrão como publicado
0.0153- Valor
- -0,0245
-0.0245(se 0,01530.0153) log county teen employment - Conferido por
- fonte primária · The did package's pkgdown home page (version badge 2.5.1), section on mpdta: summary(out) prints 'Group-Time Average Treatment Effects' (Group, Time, ATT(g,t), Std. Error) and summary(aggte(out, type = 'dynamic')) prints the overall event-study ATT. Read from the HTML text on 2026-10-15. The SEs are multiplier-bootstrap SEs and differ from the 2026-10-14 research note's copy (0.0243 and 0.0203 there, 0.0246 and 0.0219 now), so they are recorded and never required. The point estimates are deterministic group means; the SEs are multiplier-bootstrap draws, recorded and never required (the target's SE policy). Recorded before the tool was run on these cells: the cells were committed in the pending spec (75c3415) and the tool probed only after that commit.
- sha256 da cópia lida
c80dc726b2bafc59c89d6c3bd22f4f717833d2fedb14388911ac7f369391c558(identifica a cópia lida, não um arquivo canônico)- Endereço
https://bcallaway11.github.io/did/- Licença
- did package documentation (GPL-2); cited, not reproduced.
- #15 célula de tabela próxima: -0,0245
-0.0245· published_cell d=4 · absoluta 0.000050001000000000005 - #16 célula de tabela próxima: 0,0153
0.0153· published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005
callaway_santanna_2021.mpdta_event_time.e_0.software
- Fonte
- pandas 3.0.5: the reference specification of callaway_santanna_2021 mpdta_event_time (infer.did_staggered, table 'event_time' row {'e': 0} column 'att') on an independent code path
- Tipo
- software
- Localização
- callaway_santanna_2021: did package home page (2.5.1), mpdta example, summary(aggte(out, type = 'dynamic')): the 7 event-time effects (the overall dynamic average, a mean over event times from 0, is not a cell any tool states and is not checked); cell e_0
- Valor
- -0,0199318
-0.01993181678925978 - Conferido por
- execução de software · group means of the lemp change from the base period (g - 1 from adoption, t - 1 before it), cohort minus never-treated, weighted by cohort size over the cohorts at each event time: event_time {'e': 0} on mpdta (the file pinned at sha256 0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4, after its 1 declared transforms); n_units = 500. The tool infer.did_staggered (magi_infer, numpy) does not call pandas. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/pandas/3.0.5/
- #17 célula de tabela próxima: -0,0199318
-0.01993181678925978· relativa 0.000001 · absoluta 1.23e-8
callaway_santanna_2021.mpdta_event_time.e_0.paper
- Fonte
- Callaway, B. and Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics 225(2): 200-230. Cells from the did R package's documented example on its mpdta data (a software reference benchmark, not a table of the paper).
- Tipo
- paper
- Localização
- summary(aggte(out, type = 'dynamic')), 'Dynamic Effects': Event time 0, Estimate and Std. Error
- Página
- did package home page (pkgdown, version badge 2.5.1), mpdta example: package documentation example, not a page of the article
- Trecho
0 -0.0199 0.0123
- Valor como publicado
-0.0199- Erro-padrão como publicado
0.0123- Valor
- -0,0199
-0.0199(se 0,01230.0123) log county teen employment - Conferido por
- fonte primária · The did package's pkgdown home page (version badge 2.5.1), section on mpdta: summary(out) prints 'Group-Time Average Treatment Effects' (Group, Time, ATT(g,t), Std. Error) and summary(aggte(out, type = 'dynamic')) prints the overall event-study ATT. Read from the HTML text on 2026-10-15. The SEs are multiplier-bootstrap SEs and differ from the 2026-10-14 research note's copy (0.0243 and 0.0203 there, 0.0246 and 0.0219 now), so they are recorded and never required. The point estimates are deterministic group means; the SEs are multiplier-bootstrap draws, recorded and never required (the target's SE policy). Recorded before the tool was run on these cells: the cells were committed in the pending spec (75c3415) and the tool probed only after that commit.
- sha256 da cópia lida
c80dc726b2bafc59c89d6c3bd22f4f717833d2fedb14388911ac7f369391c558(identifica a cópia lida, não um arquivo canônico)- Endereço
https://bcallaway11.github.io/did/- Licença
- did package documentation (GPL-2); cited, not reproduced.
- #18 célula de tabela próxima: -0,0199
-0.0199· published_cell d=4 · absoluta 0.000050001000000000005 - #19 célula de tabela próxima: 0,0123
0.0123· published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005
callaway_santanna_2021.mpdta_event_time.e_1.software
- Fonte
- pandas 3.0.5: the reference specification of callaway_santanna_2021 mpdta_event_time (infer.did_staggered, table 'event_time' row {'e': 1} column 'att') on an independent code path
- Tipo
- software
- Localização
- callaway_santanna_2021: did package home page (2.5.1), mpdta example, summary(aggte(out, type = 'dynamic')): the 7 event-time effects (the overall dynamic average, a mean over event times from 0, is not a cell any tool states and is not checked); cell e_1
- Valor
- -0,0509574
-0.050957367065194985 - Conferido por
- execução de software · group means of the lemp change from the base period (g - 1 from adoption, t - 1 before it), cohort minus never-treated, weighted by cohort size over the cohorts at each event time: event_time {'e': 1} on mpdta (the file pinned at sha256 0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4, after its 1 declared transforms); n_units = 500. The tool infer.did_staggered (magi_infer, numpy) does not call pandas. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/pandas/3.0.5/
- #20 célula de tabela próxima: -0,0509574
-0.050957367065194985· relativa 0.000001 · absoluta 1.6699999999999997e-8
callaway_santanna_2021.mpdta_event_time.e_1.paper
- Fonte
- Callaway, B. and Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics 225(2): 200-230. Cells from the did R package's documented example on its mpdta data (a software reference benchmark, not a table of the paper).
- Tipo
- paper
- Localização
- summary(aggte(out, type = 'dynamic')), 'Dynamic Effects': Event time 1, Estimate and Std. Error
- Página
- did package home page (pkgdown, version badge 2.5.1), mpdta example: package documentation example, not a page of the article
- Trecho
1 -0.0510 0.0167
- Valor como publicado
-0.0510- Erro-padrão como publicado
0.0167- Valor
- -0,051
-0.051(se 0,01670.0167) log county teen employment - Conferido por
- fonte primária · The did package's pkgdown home page (version badge 2.5.1), section on mpdta: summary(out) prints 'Group-Time Average Treatment Effects' (Group, Time, ATT(g,t), Std. Error) and summary(aggte(out, type = 'dynamic')) prints the overall event-study ATT. Read from the HTML text on 2026-10-15. The SEs are multiplier-bootstrap SEs and differ from the 2026-10-14 research note's copy (0.0243 and 0.0203 there, 0.0246 and 0.0219 now), so they are recorded and never required. The point estimates are deterministic group means; the SEs are multiplier-bootstrap draws, recorded and never required (the target's SE policy). Recorded before the tool was run on these cells: the cells were committed in the pending spec (75c3415) and the tool probed only after that commit.
- sha256 da cópia lida
c80dc726b2bafc59c89d6c3bd22f4f717833d2fedb14388911ac7f369391c558(identifica a cópia lida, não um arquivo canônico)- Endereço
https://bcallaway11.github.io/did/- Licença
- did package documentation (GPL-2); cited, not reproduced.
- #21 célula de tabela próxima: -0,051
-0.051· published_cell d=4 · absoluta 0.000050001000000000005 - #22 célula de tabela próxima: 0,0167
0.0167· published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005
callaway_santanna_2021.mpdta_event_time.e_2.software
- Fonte
- pandas 3.0.5: the reference specification of callaway_santanna_2021 mpdta_event_time (infer.did_staggered, table 'event_time' row {'e': 2} column 'att') on an independent code path
- Tipo
- software
- Localização
- callaway_santanna_2021: did package home page (2.5.1), mpdta example, summary(aggte(out, type = 'dynamic')): the 7 event-time effects (the overall dynamic average, a mean over event times from 0, is not a cell any tool states and is not checked); cell e_2
- Valor
- -0,137259
-0.13725873888940443 - Conferido por
- execução de software · group means of the lemp change from the base period (g - 1 from adoption, t - 1 before it), cohort minus never-treated, weighted by cohort size over the cohorts at each event time: event_time {'e': 2} on mpdta (the file pinned at sha256 0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4, after its 1 declared transforms); n_units = 500. The tool infer.did_staggered (magi_infer, numpy) does not call pandas. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/pandas/3.0.5/
- #23 célula de tabela próxima: -0,137259
-0.13725873888940443· relativa 0.000001 · absoluta 4.13e-8
callaway_santanna_2021.mpdta_event_time.e_2.paper
- Fonte
- Callaway, B. and Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics 225(2): 200-230. Cells from the did R package's documented example on its mpdta data (a software reference benchmark, not a table of the paper).
- Tipo
- paper
- Localização
- summary(aggte(out, type = 'dynamic')), 'Dynamic Effects': Event time 2, Estimate and Std. Error
- Página
- did package home page (pkgdown, version badge 2.5.1), mpdta example: package documentation example, not a page of the article
- Trecho
2 -0.1373 0.0413
- Valor como publicado
-0.1373- Erro-padrão como publicado
0.0413- Valor
- -0,1373
-0.1373(se 0,04130.0413) log county teen employment - Conferido por
- fonte primária · The did package's pkgdown home page (version badge 2.5.1), section on mpdta: summary(out) prints 'Group-Time Average Treatment Effects' (Group, Time, ATT(g,t), Std. Error) and summary(aggte(out, type = 'dynamic')) prints the overall event-study ATT. Read from the HTML text on 2026-10-15. The SEs are multiplier-bootstrap SEs and differ from the 2026-10-14 research note's copy (0.0243 and 0.0203 there, 0.0246 and 0.0219 now), so they are recorded and never required. The point estimates are deterministic group means; the SEs are multiplier-bootstrap draws, recorded and never required (the target's SE policy). Recorded before the tool was run on these cells: the cells were committed in the pending spec (75c3415) and the tool probed only after that commit.
- sha256 da cópia lida
c80dc726b2bafc59c89d6c3bd22f4f717833d2fedb14388911ac7f369391c558(identifica a cópia lida, não um arquivo canônico)- Endereço
https://bcallaway11.github.io/did/- Licença
- did package documentation (GPL-2); cited, not reproduced.
- #24 célula de tabela próxima: -0,1373
-0.1373· published_cell d=4 · absoluta 0.000050001000000000005 - #25 célula de tabela próxima: 0,0413
0.0413· published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005
callaway_santanna_2021.mpdta_event_time.e_3.software
- Fonte
- pandas 3.0.5: the reference specification of callaway_santanna_2021 mpdta_event_time (infer.did_staggered, table 'event_time' row {'e': 3} column 'att') on an independent code path
- Tipo
- software
- Localização
- callaway_santanna_2021: did package home page (2.5.1), mpdta example, summary(aggte(out, type = 'dynamic')): the 7 event-time effects (the overall dynamic average, a mean over event times from 0, is not a cell any tool states and is not checked); cell e_3
- Valor
- -0,100811
-0.10081136308540525 - Conferido por
- execução de software · group means of the lemp change from the base period (g - 1 from adoption, t - 1 before it), cohort minus never-treated, weighted by cohort size over the cohorts at each event time: event_time {'e': 3} on mpdta (the file pinned at sha256 0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4, after its 1 declared transforms); n_units = 500. The tool infer.did_staggered (magi_infer, numpy) does not call pandas. Written by scripts/paper_repro_reference.py.
- Implementação
- independente da ferramenta
- Endereço
https://pypi.org/project/pandas/3.0.5/
- #26 célula de tabela próxima: -0,100811
-0.10081136308540525· relativa 0.000001 · absoluta 3.5099999999999997e-8
callaway_santanna_2021.mpdta_event_time.e_3.paper
- Fonte
- Callaway, B. and Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics 225(2): 200-230. Cells from the did R package's documented example on its mpdta data (a software reference benchmark, not a table of the paper).
- Tipo
- paper
- Localização
- summary(aggte(out, type = 'dynamic')), 'Dynamic Effects': Event time 3, Estimate and Std. Error
- Página
- did package home page (pkgdown, version badge 2.5.1), mpdta example: package documentation example, not a page of the article
- Trecho
3 -0.1008 0.0351
- Valor como publicado
-0.1008- Erro-padrão como publicado
0.0351- Valor
- -0,1008
-0.1008(se 0,03510.0351) log county teen employment - Conferido por
- fonte primária · The did package's pkgdown home page (version badge 2.5.1), section on mpdta: summary(out) prints 'Group-Time Average Treatment Effects' (Group, Time, ATT(g,t), Std. Error) and summary(aggte(out, type = 'dynamic')) prints the overall event-study ATT. Read from the HTML text on 2026-10-15. The SEs are multiplier-bootstrap SEs and differ from the 2026-10-14 research note's copy (0.0243 and 0.0203 there, 0.0246 and 0.0219 now), so they are recorded and never required. The point estimates are deterministic group means; the SEs are multiplier-bootstrap draws, recorded and never required (the target's SE policy). Recorded before the tool was run on these cells: the cells were committed in the pending spec (75c3415) and the tool probed only after that commit.
- sha256 da cópia lida
c80dc726b2bafc59c89d6c3bd22f4f717833d2fedb14388911ac7f369391c558(identifica a cópia lida, não um arquivo canônico)- Endereço
https://bcallaway11.github.io/did/- Licença
- did package documentation (GPL-2); cited, not reproduced.
- #27 célula de tabela próxima: -0,1008
-0.1008· published_cell d=4 · absoluta 0.000050001000000000005 - #28 célula de tabela próxima: 0,0351
0.0351· published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005
Especificação técnica do gabarito
Callaway, B. and Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics 225(2): 200-230. Cells from the did R package's documented example on its mpdta data (a software reference benchmark, not a table of the paper). did package home page (2.5.1), mpdta example, summary(aggte(out, type = 'dynamic')): the 7 event-time effects (the overall dynamic average, a mean over event times from 0, is not a cell any tool states and is not checked) (source callaway_santanna_2021.mpdta_event_time.e_m3.paper and 7 table cells)
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro Garante que todo número citado no texto veio de uma ferramenta ou do enunciado (sem cálculo mental do modelo). every number backed | obrigatória | passou | 0 sem lastro | 0 sem lastro[] | — | — | — |
| 1 | figura da resposta escolhida an answer figure: the effect of an estimator call the answer cites no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | — | — | — | — | — |
| 2 | ferramenta chamada infer.did_staggeredExige que o resultado venha da ferramenta infer.did_staggered. no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | "infer.did_staggered" | — | — | — | — |
| 3 | argumento igual youtcome: log county teen employment no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | "lemp" | — | — | — | — |
| 4 | argumento igual first_treatthe adoption cohort column no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | "first_treat" | — | — | — | — |
| 5 | argumento igual unitthe county id no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | "countyreal" | — | — | — | — |
| 6 | argumento igual control_groupnever-treated counties as the comparison group no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | "never_treated" | — | — | — | — |
| 7 | diagnóstico n_unitsConfere o diagnóstico "n_units" reportado pela ferramenta. no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | 500500 | — | default rel 1e-6 (abs floor 1e-6) | — | — |
| 8 | célula de tabela próxima event_time.attsoftware reference, cell e_m3 no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | 0,03050670.030506655583292096 | — | relativa 0.000001 · absoluta 1.54e-8 | callaway_santanna_2021.mpdta_event_time.e_m3.software | — |
| 9 | célula de tabela próxima event_time.attpublished cell e_m3: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,03050.0305 | — | published_cell d=4 · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_m3.paper | — |
| 10 | célula de tabela próxima event_time.sepublished cell e_m3, SE: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,01540.0154 | — | published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_m3.paper | — |
| 11 | célula de tabela próxima event_time.attsoftware reference, cell e_m2 no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | -0,000563085-0.0005630846263852302 | — | relativa 0.000001 · absoluta 1.3199999999999999e-8 | callaway_santanna_2021.mpdta_event_time.e_m2.software | — |
| 12 | célula de tabela próxima event_time.attpublished cell e_m2: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | -0,0006-0.0006 | — | published_cell d=4 · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_m2.paper | — |
| 13 | célula de tabela próxima event_time.sepublished cell e_m2, SE: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,01320.0132 | — | published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_m2.paper | — |
| 14 | célula de tabela próxima event_time.attsoftware reference, cell e_m1 no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | -0,0244587-0.024458744971168973 | — | relativa 0.000001 · absoluta 1.5299999999999998e-8 | callaway_santanna_2021.mpdta_event_time.e_m1.software | — |
| 15 | célula de tabela próxima event_time.attpublished cell e_m1: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | -0,0245-0.0245 | — | published_cell d=4 · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_m1.paper | — |
| 16 | célula de tabela próxima event_time.sepublished cell e_m1, SE: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,01530.0153 | — | published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_m1.paper | — |
| 17 | célula de tabela próxima event_time.attsoftware reference, cell e_0 no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | -0,0199318-0.01993181678925978 | — | relativa 0.000001 · absoluta 1.23e-8 | callaway_santanna_2021.mpdta_event_time.e_0.software | — |
| 18 | célula de tabela próxima event_time.attpublished cell e_0: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | -0,0199-0.0199 | — | published_cell d=4 · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_0.paper | — |
| 19 | célula de tabela próxima event_time.sepublished cell e_0, SE: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,01230.0123 | — | published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_0.paper | — |
| 20 | célula de tabela próxima event_time.attsoftware reference, cell e_1 no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | -0,0509574-0.050957367065194985 | — | relativa 0.000001 · absoluta 1.6699999999999997e-8 | callaway_santanna_2021.mpdta_event_time.e_1.software | — |
| 21 | célula de tabela próxima event_time.attpublished cell e_1: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | -0,051-0.051 | — | published_cell d=4 · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_1.paper | — |
| 22 | célula de tabela próxima event_time.sepublished cell e_1, SE: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,01670.0167 | — | published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_1.paper | — |
| 23 | célula de tabela próxima event_time.attsoftware reference, cell e_2 no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | -0,137259-0.13725873888940443 | — | relativa 0.000001 · absoluta 4.13e-8 | callaway_santanna_2021.mpdta_event_time.e_2.software | — |
| 24 | célula de tabela próxima event_time.attpublished cell e_2: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | -0,1373-0.1373 | — | published_cell d=4 · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_2.paper | — |
| 25 | célula de tabela próxima event_time.sepublished cell e_2, SE: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,04130.0413 | — | published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_2.paper | — |
| 26 | célula de tabela próxima event_time.attsoftware reference, cell e_3 no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | -0,100811-0.10081136308540525 | — | relativa 0.000001 · absoluta 3.5099999999999997e-8 | callaway_santanna_2021.mpdta_event_time.e_3.software | — |
| 27 | célula de tabela próxima event_time.attpublished cell e_3: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | -0,1008-0.1008 | — | published_cell d=4 · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_3.paper | — |
| 28 | célula de tabela próxima event_time.sepublished cell e_3, SE: recorded, never required on T2/T3 no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,03510.0351 | — | published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005 | callaway_santanna_2021.mpdta_event_time.e_3.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.callaway_santanna_2021.mpdta_event_time.tool)
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Callaway and Sant'Anna (2021), 'Difference-in-Differences with Multiple Time Periods', as in the did package's documented example on its county panel (2003-2007): estimate the group-time average treatment effects of a state minimum-wage increase on log county teen employment, using the never-treated counties as the comparison group, no covariates and the package's default (varying) base period, and aggregate them by time since adoption into the event-study (dynamic) effects, from three periods before adoption to three after, weighting the cohorts by their size. Report the dynamic effects.
mpdta(agent)The did package's example panel mpdta (Callaway and Sant'Anna 2021): county-level teen employment in 500 U.S. counties, 2003-2007, one row per county and year. Some states first raised their minimum wage in 2004, some in 2006 and some in 2007; the others did not in the window. Columns: countyreal, the county id; year; lemp, the log of county teen employment; lpop, the log of county population; first_treat, the year the county's state first raised its minimum wage (2004, 2006 or 2007; 0 for counties never treated in the window); treat, 1 for counties in states that raised it at some point in the window.
file0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4· frame —rename{"map":{"first.treat":"first_treat"}}
- 1Transformação
mpdta·rename{"map":{"first.treat":"first_treat"}}2500 → 2500 linhasFrame antes → depois:76542064d0d8→ede9279f5a99 - 2Turno do modelo
call_acc6e4f7rules-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": [] }
- 3Guardaresposta aceita
- Números encontrados
- —
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 4Resposta
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
Figuras citadas:—· Parada:answered - 5Pontuação#0resposta com lastropassouobrigatória
every number backed - 6Pontuação#1figura da resposta escolhidafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 7Pontuação#2ferramenta chamadafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 8Pontuação#3argumento igualfalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 9Pontuação#4argumento igualfalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 10Pontuação#5argumento igualfalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 11Pontuação#6argumento igualfalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 12Pontuação#7diagnósticofalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 13Pontuação#8célula de tabela próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 14Pontuação#9célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 15Pontuação#10célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 16Pontuação#11célula de tabela próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 17Pontuação#12célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 18Pontuação#13célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 19Pontuação#14célula de tabela próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 20Pontuação#15célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 21Pontuação#16célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 22Pontuação#17célula de tabela próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 23Pontuação#18célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 24Pontuação#19célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 25Pontuação#20célula de tabela próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 26Pontuação#21célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 27Pontuação#22célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 28Pontuação#23célula de tabela próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 29Pontuação#24célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 30Pontuação#25célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 31Pontuação#26célula de tabela próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 32Pontuação#27célula de tabela próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 33Pontuação#28célula de tabela 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 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Época 1 | passou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | falhou | 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
bd510ad33ab7a68b6970ea38baf1bf5ef5d0d71f232c0288b57a732105cce300O 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 |
|---|---|---|
| attachments/251e40d7841502c15e27205bc0f261086ffd9705d0ec26c9ace5a540c9c1488f.json | 950 B | 251e40d7841502c15e27205bc0f261086ffd9705d0ec26c9ace5a540c9c1488f |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| attachments/c6afeab61b5c4c2fd14ad9dc80ad383472b6a52fa8bca42fdc5f3d3c698062b5.json | 620 B | c6afeab61b5c4c2fd14ad9dc80ad383472b6a52fa8bca42fdc5f3d3c698062b5 |
| sources/callaway_santanna_2021.mpdta_event_time.e_0.paper.json | 2,0 KB | 1276c731324d6e328c8afc9ebcbdc53fb18120b608bbf6094b4e91a8c738c7d7 |
| sources/callaway_santanna_2021.mpdta_event_time.e_0.software.json | 1,5 KB | 5ba6acff010fd75f0c1b3f03a97950074ba7a8591209c5d0e7c2981c84285486 |
| sources/callaway_santanna_2021.mpdta_event_time.e_1.paper.json | 2,0 KB | c1afe1fbf863e9b03d995522afac2c51f9736fdeeb39b633bb722e22c8ef7bac |
| sources/callaway_santanna_2021.mpdta_event_time.e_1.software.json | 1,5 KB | 0587e8f67f98665df8f94a7f23f8e6d24534ca1afb4358b4da8c777706cd8a35 |
| sources/callaway_santanna_2021.mpdta_event_time.e_2.paper.json | 2,0 KB | 18c30e5477a3528521ac61663b27773f87490791211205528e3008b54954ff7f |
| sources/callaway_santanna_2021.mpdta_event_time.e_2.software.json | 1,5 KB | 394dcad734296dde2f9e87fafa5a522026e618b6c64b4c34f03e435ce5a9189b |
| sources/callaway_santanna_2021.mpdta_event_time.e_3.paper.json | 2,0 KB | d67c6ad346b22b577ad306d7ef091ff878aa390035aa086949b8126bce945560 |
| sources/callaway_santanna_2021.mpdta_event_time.e_3.software.json | 1,5 KB | 4891c6455a02c2e99a12e7a146c206f064b81f988b806b43b8d828c71a24c4df |
| sources/callaway_santanna_2021.mpdta_event_time.e_m1.paper.json | 2,0 KB | 6c76769a4b8bacb87904a3d05c2ad6018c4136efeed55e597234b445a8008e61 |
| sources/callaway_santanna_2021.mpdta_event_time.e_m1.software.json | 1,5 KB | 1d2bbaaef9f1919350c868797395e63581920d653b2b7d357ab488169b1f004d |
| sources/callaway_santanna_2021.mpdta_event_time.e_m2.paper.json | 2,0 KB | ad96f38835f0d579194936d1283cb09702af64b071eec406ee4858c67234d57a |
| sources/callaway_santanna_2021.mpdta_event_time.e_m2.software.json | 1,5 KB | 2bead5d4d3c9597a6ea6e1e47f9c6aeea5164abf7ccb4da3543c5e7119369c4e |
| sources/callaway_santanna_2021.mpdta_event_time.e_m3.paper.json | 2,0 KB | e772c6b7f8cd81f48134b10103efcfda0a1eb86ce3ceea31e0c422f33ccc043d |
| sources/callaway_santanna_2021.mpdta_event_time.e_m3.software.json | 1,5 KB | f93a90ce02b9896fbd0dad4151cdc4582747d7e34cb9b34fd396c17305e6de74 |
| specs/paper_repro.callaway_santanna_2021.mpdta_event_time.agent.json | 16,5 KB | e9493368b955640d6497a95fddc0e4917251dafc03fcd40c2383265b8eed4bbc |
| traces/paper_repro.callaway_santanna_2021.mpdta_event_time.agent.e1.a1.jsonl | 8,0 KB | f1fd9f4d14e8563426d66b81ecd677ddaedef559481dc0260f94b2fda5eefcc5 |
| trajectories/paper_repro.callaway_santanna_2021.mpdta_event_time.agent.e1.a1.jsonl | 22,3 KB | b83225ef1fd8c7b15d9c3f93ab8de8cf360e9ffbbb2b1cdc78d560ca68addc92 |