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Tarefa paper_repro.callaway_santanna_2021.mpdta_event_time.agent

paper_reproagentT2publicépoca 1, tentativa 1Execução: 20261015T165911Z-suite-paper_repro-baseline-8b4f85

Veredito

falhouDecidida pela verificação 1: figura da resposta escolhida, nenhuma estimativa citada.
no answer figure: the answer cites no effect of an estimator call

Pergunta 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.

Resposta

Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.

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
0,03050670.030506655583292096
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: 0,03050670.030506655583292096 · 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
0,03050.0305 (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: 0,03050.0305 · published_cell d=4 · absoluta 0.000050001000000000005
  • #10 célula de tabela próxima: 0,01540.0154 · 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: 0,01320.0132 · 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: 0,01530.0153 · 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: 0,01230.0123 · 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: 0,01670.0167 · 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: 0,04130.0413 · 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: 0,03510.0351 · published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005

Verificações

Cada verificação, o que esperava, o que observou e a chamada que leu
#VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
0resposta com lastro
every number backed
obrigatóriapassou—[]———
1figura da resposta escolhida
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou—————
2ferramenta chamada
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou—————
3argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"lemp"————
4argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"first_treat"————
5argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"countyreal"————
6argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"never_treated"————
7diagnóstico
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou500500—default rel 1e-6 (abs floor 1e-6)——
8célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou0,03050670.030506655583292096—relativa 0.000001 · absoluta 1.54e-8callaway_santanna_2021.mpdta_event_time.e_m3.software—
9célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,03050.0305—published_cell d=4 · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_m3.paper—
10célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,01540.0154—published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_m3.paper—
11célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou-0,000563085-0.0005630846263852302—relativa 0.000001 · absoluta 1.3199999999999999e-8callaway_santanna_2021.mpdta_event_time.e_m2.software—
12célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou-0,0006-0.0006—published_cell d=4 · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_m2.paper—
13célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,01320.0132—published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_m2.paper—
14célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou-0,0244587-0.024458744971168973—relativa 0.000001 · absoluta 1.5299999999999998e-8callaway_santanna_2021.mpdta_event_time.e_m1.software—
15célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou-0,0245-0.0245—published_cell d=4 · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_m1.paper—
16célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,01530.0153—published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_m1.paper—
17célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou-0,0199318-0.01993181678925978—relativa 0.000001 · absoluta 1.23e-8callaway_santanna_2021.mpdta_event_time.e_0.software—
18célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou-0,0199-0.0199—published_cell d=4 · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_0.paper—
19célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,01230.0123—published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_0.paper—
20célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou-0,0509574-0.050957367065194985—relativa 0.000001 · absoluta 1.6699999999999997e-8callaway_santanna_2021.mpdta_event_time.e_1.software—
21célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou-0,051-0.051—published_cell d=4 · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_1.paper—
22célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,01670.0167—published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_1.paper—
23célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou-0,137259-0.13725873888940443—relativa 0.000001 · absoluta 4.13e-8callaway_santanna_2021.mpdta_event_time.e_2.software—
24célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou-0,1373-0.1373—published_cell d=4 · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_2.paper—
25célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,04130.0413—published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_2.paper—
26célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou-0,100811-0.10081136308540525—relativa 0.000001 · absoluta 3.5099999999999997e-8callaway_santanna_2021.mpdta_event_time.e_3.software—
27célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou-0,1008-0.1008—published_cell d=4 · absoluta 0.000050001000000000005callaway_santanna_2021.mpdta_event_time.e_3.paper—
28célula de tabela próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,03510.0351—published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005callaway_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)

Referência: infer.did_staggeredO agente não fez uma chamada de estimação que a resposta cite.

Trajetória

Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

  1. 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.

    file 0be3bc5eaaedaa50e047deaf45ad0e193e7210df1644103c63a6c1baa75965d4 · frame —
    1. rename {"map":{"first.treat":"first_treat"}}
  2. 1Transformação
    mpdta · rename {"map":{"first.treat":"first_treat"}}
    2500 → 2500 linhas
    Frame antes → depois: 76542064d0d8 → ede9279f5a99
  3. 2Turno do modelo
    call_acc6e4f7rules-1Fim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Chamadas pedidas
    • submit_answer (meta-ferramenta)
      {
        "answer": "Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.",
        "caveats": [],
        "figure_refs": []
      }
  4. 3Guarda
    resposta aceita
    Números encontrados
    —
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  5. 4Resposta

    Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.

    Figuras citadas: — · Parada: answered
  6. 5Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  7. 6Pontuação
    #1figura da resposta escolhidafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  8. 7Pontuação
    #2ferramenta chamadafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  9. 8Pontuação
    #3argumento igualfalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  10. 9Pontuação
    #4argumento igualfalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  11. 10Pontuação
    #5argumento igualfalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  12. 11Pontuação
    #6argumento igualfalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  13. 12Pontuação
    #7diagnósticofalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  14. 13Pontuação
    #8célula de tabela próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  15. 14Pontuação
    #9célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  16. 15Pontuação
    #10célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  17. 16Pontuação
    #11célula de tabela próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  18. 17Pontuação
    #12célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  19. 18Pontuação
    #13célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  20. 19Pontuação
    #14célula de tabela próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  21. 20Pontuação
    #15célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  22. 21Pontuação
    #16célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  23. 22Pontuação
    #17célula de tabela próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  24. 23Pontuação
    #18célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  25. 24Pontuação
    #19célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  26. 25Pontuação
    #20célula de tabela próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  27. 26Pontuação
    #21célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  28. 27Pontuação
    #22célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  29. 28Pontuação
    #23célula de tabela próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  30. 29Pontuação
    #24célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  31. 30Pontuação
    #25célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  32. 31Pontuação
    #26célula de tabela próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  33. 32Pontuação
    #27célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  34. 33Pontuação
    #28célula de tabela próximafalhouregistradano answer figure: the answer cites no effect of an estimator call

Épocas × verificações

Resultado de cada verificação em cada época pontuada
#012345678910111213141516171819202122232425262728
Época 1passoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhou

Tentativas

Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

Downloads desta tarefa

Pacote da tarefa (.zip)
85,3 KB · sha256 bd510ad33ab7a68b6970ea38baf1bf5ef5d0d71f232c0288b57a732105cce300

O 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.

Downloads desta tarefa
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