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Tarefa paper_repro.mmv_2011.tab20_1_c1.design

paper_reproagentT3designépoca 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
Calculado pelo agente
—
Valor esperado (gabarito)
0,09285530.09285534103880216
statsmodels 0.15.0: the reference specification of mmv_2011 tab20_1_c1 (infer.rdd, figure 'effect') on an independent code path
Como foi validado
1 de 6 verificações obrigatórias aprovadas
relativa 0.000001 · absoluta 4.363357378599472e-8

Pergunta feita ao analista

Do government cash transfers buy political goodwill? In Uruguay's PANES programme, households qualified for monthly transfers when their income measure fell below an eligibility cutoff. Using the households near that cutoff, estimate the effect of receiving the transfers on the household's backing for the government.

Resposta

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.

  1. 1Preparação da base de dados
    gov_transfers— 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).
    Transformação "derive" aplicada à base "gov_transfers" (1948 → 1948 linhas). {"args":{"column":"Income_Centered"},"name":"Income_Below","op":"negate"}
  2. 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 lastro
      Garante que todo número citado no texto veio de uma ferramenta ou do enunciado (sem cálculo mental do modelo).
    • #1figura da resposta escolhida
      an answer figure: the effect of an estimator call the answer cites
    • #2ferramenta chamadainfer.rdd
      Exige que o resultado venha da ferramenta infer.rdd.
    • #3argumento igualy
      T3: the outcome the design question implies
    • #4argumento igualrunning
      T3: the running the design question implies
    • #5argumento igualcutoff
      T3: the cutoff the design question implies
    • #6argumento igualy
      outcome: support for the government (T3: recorded; a design question cannot state it)
    • #7argumento igualrunning
      running variable: centred income negated, so the treated (low-income) side is at or above the cutoff (T3: recorded; a design question cannot state it)
    • #8argumento igualcutoff
      the eligibility cutoff, at 0 on the centred scale (T3: recorded; a design question cannot state it)
    • #9argumento igualkernel
      no kernel weighting (T3: recorded; a design question cannot state it)
    • #10argumento igualpolynomial
      quadratic on each side (T3: recorded; a design question cannot state it)
    • #11diagnósticon_left
      (T3: recorded; a design question cannot state it)
    • #12diagnósticon_right
      (T3: recorded; a design question cannot state it)
    • #13figura da resposta próxima
      software reference (T3: recorded; T3 pontua o desenho; a estimativa é registrada)
    • #14figura da resposta próxima
      software reference, SE: recorded (T3)
    • #15figura da resposta próxima
      published cell: recorded, never required on T2/T3
    • #16figura da resposta próxima
      published cell, 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

mmv_2011.tab20_1_c1.software

Fonte
statsmodels 0.15.0: the reference specification of mmv_2011 tab20_1_c1 (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 'Quadratic', row 'Participation'
Valor
0,09285530.09285534103880216 (se 0,04363360.04363357378599472)
Conferido por
execução de software · sm.OLS(Support, [const, treat, d·(1-treat), d·treat, squares]).fit(cov_type='HC1') with d = Income_Below - 0, rows |d| <= 0.02, treat = d >= 0 on gov_transfers (the file pinned at sha256 51312ecd5b3cb22b5dc027966a81e0a8579f24a708ce4b476674fc527652ebd0, after its 1 declared transforms); n_obs = 1948, n_left = 821, n_right = 1127. 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/
  • #13 figura da resposta próxima: 0,09285530.09285534103880216 · relativa 0.000001 · absoluta 4.363357378599472e-8
  • #14 figura da resposta próxima: 0,04363360.04363357378599472 · relativa 0.000001 · absoluta 4.363357378599472e-8

mmv_2011.tab20_1_c1.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 'Quadratic', row 'Participation'
Página
online edition, chapter 20, Table 20.1
Trecho
Participation 0.093** (0.044)
Valor como publicado
0.093
Erro-padrão como publicado
0.044
Valor
0,0930.093 (se 0,0440.044) 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
convenção de erro-padrão
Recorded before this track's software-reference run and before any dry run, from the printed table: Table 20.1 states that its standard errors are HC3, while infer.rdd computes HC1 (its only unclustered option) and the reference follows the tool's declared HC1. The printed cell is recorded and non-required on T1.
Endereço
https://theeffectbook.net/ch-RegressionDiscontinuity.html
Licença
Copyright Nick Huntington-Klein (The Effect, CRC Press); cited, not reproduced.
  • #15 figura da resposta próxima: 0,0930.093 · published_cell d=3 · absoluta 0.000500001
  • #16 figura da resposta próxima: 0,0440.044 · published_cell d=3 (the SE as printed) · absoluta 0.000500001
Especificação técnica do gabarito

Manacorda, M., Miguel, E. and Vigorito, A. (2011). Government Transfers and Political Support. American Economic Journal: Applied Economics 3(3): 1-28 (doi:10.1257/app.3.3.1); the cells are those of its replication in Huntington-Klein, N. (2021), The Effect: An Introduction to Research Design and Causality, chapter 20 (Regression Discontinuity), Table 20.1. Table 20.1 (The Effect of Government Payments on Support, Regression Discontinuity Estimates), column 'Quadratic', row 'Participation' (source mmv_2011.tab20_1_c1.paper); software reference mmv_2011.tab20_1_c1.software: statsmodels 0.15.0: the reference specification of mmv_2011 tab20_1_c1 (infer.rdd, figure 'effect') on an independent code path

Verificações

Cada verificação, o que esperava, o que observou e a chamada que leu
#VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
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
obrigatóriapassou0 sem lastro0 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
obrigatóriafalhou—————
2
ferramenta chamadainfer.rdd
Exige que o resultado venha da ferramenta infer.rdd.
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"infer.rdd"————
3
argumento igualy
T3: the outcome the design question implies
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"Support"————
4
argumento igualrunning
T3: the running the design question implies
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou"Income_Below"————
5
argumento igualcutoff
T3: the cutoff the design question implies
no answer figure: the answer cites no effect of an estimator call
obrigatóriafalhou00————
6
argumento igualy
outcome: support for the government (T3: recorded; a design question cannot state it)
no answer figure: the answer cites no effect of an estimator call
registradafalhou"Support"————
7
argumento igualrunning
running variable: centred income negated, so the treated (low-income) side is at or above the cutoff (T3: recorded; a design question cannot state it)
no answer figure: the answer cites no effect of an estimator call
registradafalhou"Income_Below"————
8
argumento igualcutoff
the eligibility cutoff, at 0 on the centred scale (T3: recorded; a design question cannot state it)
no answer figure: the answer cites no effect of an estimator call
registradafalhou00————
9
argumento igualkernel
no kernel weighting (T3: recorded; a design question cannot state it)
no answer figure: the answer cites no effect of an estimator call
registradafalhou"uniform"————
10
argumento igualpolynomial
quadratic on each side (T3: recorded; a design question cannot state it)
no answer figure: the answer cites no effect of an estimator call
registradafalhou22————
11
diagnósticon_left
(T3: recorded; a design question cannot state it)
no answer figure: the answer cites no effect of an estimator call
registradafalhou821821—default rel 1e-6 (abs floor 1e-6)——
12
diagnósticon_right
(T3: recorded; a design question cannot state it)
no answer figure: the answer cites no effect of an estimator call
registradafalhou1.1271127—default rel 1e-6 (abs floor 1e-6)——
13
figura da resposta próxima
software reference (T3: recorded; T3 pontua o desenho; a estimativa é registrada)
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,09285530.09285534103880216—relativa 0.000001 · absoluta 4.363357378599472e-8mmv_2011.tab20_1_c1.software—
14
figura da resposta próxima
software reference, SE: recorded (T3)
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,04363360.04363357378599472—relativa 0.000001 · absoluta 4.363357378599472e-8mmv_2011.tab20_1_c1.software—
15
figura da resposta próxima
published cell: recorded, never required on T2/T3
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,0930.093—published_cell d=3 · absoluta 0.000500001mmv_2011.tab20_1_c1.paper—
16
figura da resposta próxima
published cell, SE: recorded, never required on T2/T3
no answer figure: the answer cites no effect of an estimator call
registradafalhou0,0440.044—published_cell d=3 (the SE as printed) · absoluta 0.000500001mmv_2011.tab20_1_c1.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_c1.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

    Do government cash transfers buy political goodwill? In Uruguay's PANES programme, households qualified for monthly transfers when their income measure fell below an eligibility cutoff. Using the households near that cutoff, estimate the effect of receiving the transfers on the household's backing for the government.

    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_56b0a871rules-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 igualfalhouregistradano answer figure: the answer cites no effect of an estimator call
  13. 12Pontuação
    #7argumento igualfalhouregistradano answer figure: the answer cites no effect of an estimator call
  14. 13Pontuação
    #8argumento igualfalhouregistradano answer figure: the answer cites no effect of an estimator call
  15. 14Pontuação
    #9argumento igualfalhouregistradano answer figure: the answer cites no effect of an estimator call
  16. 15Pontuação
    #10argumento igualfalhouregistradano answer figure: the answer cites no effect of an estimator call
  17. 16Pontuação
    #11diagnósticofalhouregistradano answer figure: the answer cites no effect of an estimator call
  18. 17Pontuação
    #12diagnósticofalhouregistradano 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
  21. 20Pontuação
    #15figura da resposta próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
  22. 21Pontuação
    #16figura da resposta próximafalhouregistradano answer figure: the answer cites no effect of an estimator call

Épocas × verificações

Resultado de cada verificação em cada época pontuada
#012345678910111213141516
Época 1passoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhoufalhou

Tentativas

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

Downloads desta tarefa

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