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Tarefa paper_repro.mmv_2011.tab20_1_c2.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

Manacorda, Miguel and Vigorito (2011), on Uruguay's PANES cash transfers, as replicated in Huntington-Klein's 'The Effect', chapter 20, Table 20.1, column 'Linear with Kernel Weight': households qualified for Uruguay's PANES cash transfers when their income measure fell below the eligibility cutoff, so treatment is on the low-income side of the cutoff ('you need low income to get paid'). Estimate, as a sharp regression discontinuity at the cutoff, the effect of receiving the payments on the household's backing for the government: fit a straight line in income on each side of the cutoff, weighting each household by one minus 100 times the distance of its income measure from the cutoff (weights that fall linearly from one at the cutoff to zero at a distance of 0.01, households beyond it weighing nothing). Report the effect of being on the eligible side of the cutoff, with a positive sign meaning more backing among the eligible households.

Resposta

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

Valores esperados e de onde vêm

mmv_2011.tab20_1_c2.software

Fonte
statsmodels 0.15.0: the reference specification of mmv_2011 tab20_1_c2 (infer.rdd, figure 'effect') on an independent code path
Tipo
software
Localização
mmv_2011: Table 20.1 (The Effect of Government Payments on Support, Regression Discontinuity Estimates), column 'Linear with Kernel Weight', row 'Participation'
Valor
0,03348180.03348175396085784 (se 0,04419590.04419589592144583)
Conferido por
execução de software · sm.WLS(weights=1 - |d|/h)(Support, [const, treat, d·(1-treat), d·treat]).fit(cov_type='HC1') with d = Income_Below - 0, rows |d| <= 0.01, treat = d >= 0 on gov_transfers (the file pinned at sha256 51312ecd5b3cb22b5dc027966a81e0a8579f24a708ce4b476674fc527652ebd0, after its 1 declared transforms); n_obs = 1948, n_left = 400, n_right = 537. The tool infer.rdd (magi_infer, numpy) does not call statsmodels. Note: the strict rule (|d| < h, treated when d > 0) selects the same rows and treatment. Written by scripts/paper_repro_reference.py.
Implementação
independente da ferramenta
Endereço
https://pypi.org/project/statsmodels/0.15.0/
  • #11 figura da resposta próxima: 0,03348180.03348175396085784 · relativa 0.000001 · absoluta 4.419589592144583e-8
  • #12 figura da resposta próxima: 0,04419590.04419589592144583 · relativa 0.000001 · absoluta 4.419589592144583e-8

mmv_2011.tab20_1_c2.paper

Fonte
Huntington-Klein, N. (2021). The Effect: An Introduction to Research Design and Causality. CRC Press; online edition, chapter 20 (Regression Discontinuity), replicating Manacorda, Miguel and Vigorito (2011), AEJ: Applied 3(3): 1-28.
Tipo
textbook
Localização
Table 20.1 (The Effect of Government Payments on Support, Regression Discontinuity Estimates), column 'Linear with Kernel Weight', row 'Participation'
Página
online edition, chapter 20, Table 20.1
Trecho
Participation 0.033 (0.021)
Valor como publicado
0.033
Erro-padrão como publicado
0.021
Valor
0,0330.033 (se 0,0210.021) support for the government (0, 0.5, 1)
Conferido por
fonte primária · Read on 2026-10-15 from the free online edition of The Effect (theeffectbook.net, chapter 20); read_copy_sha256 is the sha256 of the chapter's decompressed HTML as served that day. Table 20.1 is a modelsummary table of the R code printed above it: Support on Income_Centered*Participation plus I(Income_Centered^2)*Participation (column 'Quadratic', all 1,948 households) and Support on Income_Centered*Participation weighted by max(0, 1 - 100|Income_Centered|) (column 'Linear with Kernel Weight', Num.Obs. 937); the table's last rows state 'Std.Errors HC3 HC3'. Data check made before any estimate: Participation equals (Income_Centered <= 0) on every row, no row has Income_Centered exactly 0 or exactly 0.01 in absolute value, every |Income_Centered| is below 0.02, and 937 rows lie strictly within 0.01 of the cutoff (400 above it, 537 below), as the table's Num.Obs.
sha256 da cópia lida
b6f751cfa056dc32718bdd79f6b25518a6acd9e9923a8fd12ef29ac9342413eb (identifica a cópia lida, não um arquivo canônico)
Desvio conhecido
não conferido
Recorded before this track's software-reference run and before any dry run, from the printed table and the research probe: Table 20.1 states that its standard errors are HC3, while infer.rdd computes HC1 (its only unclustered option); the research note (research-papers.md section 3.15, 2026-10-14) already reported an HC1 error near 0.044 for this specification against the printed 0.021. The printed cell is recorded and non-required on T1. Corrected at the B-join review: the HC type does not explain the gap. The column's printed coefficients match exactly, while the HC0, HC1, HC3 and classical errors of this weighted fit (0.037 to 0.0445) all differ from the printed 0.021; the convention behind the printed SE is not documented, so the kind is unverified (SE only; it was se_convention).
Endereço
https://theeffectbook.net/ch-RegressionDiscontinuity.html
Licença
Copyright Nick Huntington-Klein (The Effect, CRC Press); cited, not reproduced.
  • #13 figura da resposta próxima: 0,0330.033 · published_cell d=3 · absoluta 0.000500001
  • #14 figura da resposta próxima: 0,0210.021 · published_cell d=3 (the SE as printed) · absoluta 0.000500001

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"Support"————
4argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"Income_Below"————
5argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou00————
6argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou0,010.01————
7argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"triangular"————
8argumento igual
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou11————
9diagnóstico
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou400400—default rel 1e-6 (abs floor 1e-6)——
10diagnóstico
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou537537—default rel 1e-6 (abs floor 1e-6)——
11figura da resposta próxima
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou0,03348180.03348175396085784—relativa 0.000001 · absoluta 4.419589592144583e-8mmv_2011.tab20_1_c2.software—
12figura da resposta próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,04419590.04419589592144583—relativa 0.000001 · absoluta 4.419589592144583e-8mmv_2011.tab20_1_c2.software—
13figura da resposta próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,0330.033—published_cell d=3 · absoluta 0.000500001mmv_2011.tab20_1_c2.paper—
14figura da resposta próxima
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,0210.021—published_cell d=3 (the SE as printed) · absoluta 0.000500001mmv_2011.tab20_1_c2.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.mmv_2011.tab20_1_c2.tool)

Referência: infer.rddO 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

    Manacorda, Miguel and Vigorito (2011), on Uruguay's PANES cash transfers, as replicated in Huntington-Klein's 'The Effect', chapter 20, Table 20.1, column 'Linear with Kernel Weight': households qualified for Uruguay's PANES cash transfers when their income measure fell below the eligibility cutoff, so treatment is on the low-income side of the cutoff ('you need low income to get paid'). Estimate, as a sharp regression discontinuity at the cutoff, the effect of receiving the payments on the household's backing for the government: fit a straight line in income on each side of the cutoff, weighting each household by one minus 100 times the distance of its income measure from the cutoff (weights that fall linearly from one at the cutoff to zero at a distance of 0.01, households beyond it weighing nothing). Report the effect of being on the eligible side of the cutoff, with a positive sign meaning more backing among the eligible households.

    gov_transfers (agent)

    Households near the income cutoff of Uruguay's PANES cash-transfer programme, the extract of the survey of Manacorda, Miguel and Vigorito (2011), 'Government Transfers and Political Support', distributed with the causaldata R package and used in chapter 20 of Huntington-Klein's 'The Effect': one row per household (1,948 rows), only households whose income measure is within 0.02 of the cutoff. Households below the cutoff were eligible for the transfers. Columns: rownames, the row number; Income_Centered, the household's income measure minus the eligibility cutoff (negative values are below the cutoff, hence eligible); Income_Below, minus Income_Centered, added by the task author: how far below the cutoff the household's income measure is (positive values are eligible); Education, average years of education of household members aged 16 and older (missing for some households); Age, average age of household members; Participation, 1 if the household participated in the transfer programme; Support, the household's support for the government (0, 0.5 or 1; higher means more support).

    file 51312ecd5b3cb22b5dc027966a81e0a8579f24a708ce4b476674fc527652ebd0 · frame —
    1. derive {"args":{"column":"Income_Centered"},"name":"Income_Below","op":"negate"}
  2. 1Transformação
    gov_transfers · derive {"args":{"column":"Income_Centered"},"name":"Income_Below","op":"negate"}
    1948 → 1948 linhas
    Frame antes → depois: 2600b9da8866 → ee25bc867239
  3. 2Turno do modelo
    call_f5ee6943rules-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
    #7argumento igualfalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  14. 13Pontuação
    #8argumento igualfalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  15. 14Pontuação
    #9diagnósticofalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  16. 15Pontuação
    #10diagnósticofalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  17. 16Pontuação
    #11figura da resposta próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
  18. 17Pontuação
    #12figura da resposta próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  19. 18Pontuação
    #13figura da resposta próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  20. 19Pontuação
    #14figura da resposta próximafalhouregistradano answer figure: the answer cites no effect of an estimator call

Épocas × verificações

Resultado de cada verificação em cada época pontuada
#01234567891011121314
Época 1passoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhou

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)
72,4 KB · sha256 3a6acb6b788ed4c1240c58ff475a731a2c1e46e73dd4b668537e805ce6869c60

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