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Tarefa paper_repro.fujiwara_2015.tab2_pb_valid94_c3.agent

paper_reproagentT2publicépoca 1, tentativa 1Execução: 20261015T165744Z-suite-paper_repro-scripted-def9df

Veredito

passouPassou em todas as verificações obrigatórias.

Família do método (das chamadas de ferramentas): rd (regression discontinuity)

Pergunta feita ao analista

Fujiwara, T. (2015), 'Voting Technology, Political Responsiveness, and Infant Health: Evidence from Brazil', Table II, Panel B (placebo tests), column (3): estimate the jump in valid votes as a share of turnout in the 1994 state legislature elections, when every municipality still voted on paper ballots at the threshold of 40,500 registered voters in 1996, above which municipalities voted electronically in the 1998 elections, as a sharp regression discontinuity. This is a placebo: the 1994 election had no discontinuous assignment. Use a local linear regression on each side of the threshold with a rectangular kernel (unweighted observations), a bandwidth of 5,000 registered voters, and heteroskedasticity-robust standard errors. Report the jump at the threshold.

Resposta

Estimativa (infer.rdd): effect = 0,006370.

Valores esperados e de onde vêm

fujiwara_2015.tab2_pb_valid94_c3.software

Fonte
statsmodels 0.15.0: the reference specification of fujiwara_2015 tab2_pb_valid94_c3 (infer.rdd, figure 'effect') on an independent code path
Tipo
software
Localização
fujiwara_2015: Table II, Panel B (placebo tests), row 'Valid Votes/Turnout (1994 Election)', column (3), bandwidth 5,000
Valor
0,006370180.006370183782644062 (se 0,03278670.03278673393864601)
Conferido por
execução de software · sm.OLS(r_util94, [const, treat, d·(1-treat), d·treat]).fit(cov_type='HC1') with d = voters96 - 40500, rows |d| <= 5000, treat = d >= 0 on munic (munic.dta of the file pinned at sha256 5cd5b8796355e025807dc303263b1fbb16f442c3c7551f14ee3557768a310894); n_obs = 4809, n_left = 75, n_right = 41. 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: 0,006370180.006370183782644062 · relativa 0.000001 · absoluta 3.2786733938646005e-8
  • #12 figura da resposta próxima: 0,03278670.03278673393864601 · relativa 0.000001 · absoluta 3.2786733938646005e-8

fujiwara_2015.tab2_pb_valid94_c3.paper

Fonte
Fujiwara, T. (2015). Voting Technology, Political Responsiveness, and Infant Health: Evidence From Brazil. Econometrica 83(2): 423-464.
Tipo
paper
Localização
Table II (treatment effects of electronic voting), Panel B (placebo tests), row 'Valid Votes/Turnout (1994 Election)', column (3), bandwidth 5000, linear
Página
436
Trecho
Valid Votes/Turnout (1994 Election) 0.006 (0.032)
Valor como publicado
0.006
Erro-padrão como publicado
0.032
Valor
0,0060.006 (se 0,0320.032) share of turnout (valid votes / turnout)
Conferido por
fonte primária · Read on 2026-10-15 from the published Econometrica version on the author's Princeton page (43-page PDF; Table II on PDF page 15) from the rendered page image; pdftotext drops this PDF's decimal-point glyph. Table II notes: robust standard errors; each cell a separate local linear regression. Data check made before any estimate: voters96 is integer-valued, no municipality has exactly 40,500 voters and none sits on a bandwidth edge, so munic.do's strict inequalities (treat if dep>0, bw<h) select the rows the tool's (running >= cutoff, |running - cutoff| <= h) select. N row: 116.
sha256 da cópia lida
e2d693b96b22ea0dec46893e9b1f1a3a5399a23d844bcd0ec58e9e1c410a0600 (identifica a cópia lida, não um arquivo canônico)
Desvio conhecido
arredondamento do artigo
Found in a dry run (scripted run 20261015T062205Z-suite-paper_repro-scripted-7d3f08, T1 task failed on the printed SE): on the 116 municipalities the printed N names (75 below, 41 above the threshold), the tool's HC1 SE is 0.03279 and the statsmodels reference 0.03279, which round to 0.033, not the printed 0.032; the coefficient (0.0064) matches the printed 0.006, and the other eight Table II cells of this suite match value and SE. The cause is not established: the label paper_rounding is provisional (cutting 0.03279 to three decimals, rather than rounding it, would give the printed 0.032, one possibility among others), as noted at the B-join review.
Endereço
https://www.princeton.edu/~fujiwara/papers/elecvote_site.pdf
Licença
Copyright The Econometric Society; cited, not reproduced.
  • #13 figura da resposta próxima: 0,0060.006 · published_cell d=3 · absoluta 0.000500001
  • #14 figura da resposta próxima: 0,0320.032 · 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
answer figure call_c319bb1a:effect (infer.rdd)
obrigatóriapassou—"call_c319bb1a:effect"——call_c319bb1a
2ferramenta chamada
answer call is infer.rdd
obrigatóriapassou—"infer.rdd"——call_c319bb1a
3argumento igual
infer.rdd.y = 'r_util94'
obrigatóriapassou"r_util94""r_util94"——call_c319bb1a
4argumento igual
infer.rdd.running = 'voters96'
obrigatóriapassou"voters96""voters96"——call_c319bb1a
5argumento igual
infer.rdd.cutoff = 40500.0
obrigatóriapassou40.5004050040.50040500——call_c319bb1a
6argumento igual
infer.rdd.bandwidth = 5000.0
obrigatóriapassou5.00050005.0005000——call_c319bb1a
7argumento igual
infer.rdd.kernel = 'uniform'
obrigatóriapassou"uniform""uniform"——call_c319bb1a
8argumento igual
infer.rdd.polynomial = 1
obrigatóriapassou1111——call_c319bb1a
9diagnóstico
75 vs 75
obrigatóriapassou75757575default rel 1e-6 (abs floor 1e-6)—call_c319bb1a
10diagnóstico
41 vs 41
obrigatóriapassou41414141default rel 1e-6 (abs floor 1e-6)—call_c319bb1a
11figura da resposta próxima
0.006370183783 vs 0.006370183782644062
obrigatóriapassou0,006370180.0063701837826440620,006370180.006370183782647448relativa 0.000001 · absoluta 3.2786733938646005e-8fujiwara_2015.tab2_pb_valid94_c3.softwarecall_c319bb1a
12figura da resposta próxima
0.03278673394 vs 0.03278673393864601
obrigatóriapassou0,03278670.032786733938646010,03278670.03278673393865989relativa 0.000001 · absoluta 3.2786733938646005e-8fujiwara_2015.tab2_pb_valid94_c3.softwarecall_c319bb1a
13figura da resposta próxima
0.006370183783 vs 0.006
registradapassou0,0060.0060,006370180.006370183782647448published_cell d=3 · absoluta 0.000500001fujiwara_2015.tab2_pb_valid94_c3.papercall_c319bb1a
14figura da resposta próxima
0.03278673394 vs 0.032
registradafalhou0,0320.0320,03278670.03278673393865989published_cell d=3 (the SE as printed) · absoluta 0.000500001fujiwara_2015.tab2_pb_valid94_c3.papercall_c319bb1a

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.fujiwara_2015.tab2_pb_valid94_c3.tool)

Referência: infer.rddChamada do agente: infer.rdd (call_c319bb1a)igual
Argumentos da referência e do agente
ArgumentoReferênciaAgente
bandwidth5.00050005.0005000igual
cluster——não fixado pela referência
cutoff40.5004050040.50040500igual
dataset"munic""munic"igual
kernel"uniform""uniform"igual
level—0,950.95não fixado pela referência
polynomial1111igual
running"voters96""voters96"igual
subset——não fixado pela referência
y"r_util94""r_util94"igual

Trajetória

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

  1. 0Início

    Fujiwara, T. (2015), 'Voting Technology, Political Responsiveness, and Infant Health: Evidence from Brazil', Table II, Panel B (placebo tests), column (3): estimate the jump in valid votes as a share of turnout in the 1994 state legislature elections, when every municipality still voted on paper ballots at the threshold of 40,500 registered voters in 1996, above which municipalities voted electronically in the 1998 elections, as a sharp regression discontinuity. This is a placebo: the 1994 election had no discontinuous assignment. Use a local linear regression on each side of the threshold with a rectangular kernel (unweighted observations), a bandwidth of 5,000 registered voters, and heteroskedasticity-robust standard errors. Report the jump at the threshold.

    munic (agent)

    The author's municipality file for Fujiwara (2015), 'Voting Technology, Political Responsiveness, and Infant Health: Evidence from Brazil': one row per Brazilian municipality (5,281 rows). In the 1998 elections, municipalities with more than 40,500 registered voters in 1996 used electronic voting and the others paper ballots; in 1994 every municipality used paper ballots and in 2002 every one voted electronically. Columns: uf, state; voters96, number of registered voters in 1996; r_util98, r_util94, r_util02, valid votes as a share of turnout in the state legislature elections of 1998, 1994 and 2002; attend, turnout as a share of registered voters (1998); regist, registered voters as a share of population (1998); null_est_share and blank_est_share, null and blank votes as a share of turnout (state legislature, 1998); util_pres_share, util_gov_share, util_fed_share, util_sen_share, valid votes as a share of turnout in the presidential, gubernatorial, federal lower chamber and senate elections (1998); right, vote-weighted party ideology; right_meas, votes for parties with measured ideology over total valid votes; right_state, state average of right; illiter, illiteracy rate (percent); less4 and less8, shares without 4 and without 8 years of schooling; gini, Gini index; income, monthly income; latitude; longitude; urbanization, share of urban population; population91 and population00, population in 1991 and 2000 (thousands). The schooling, income, inequality and urbanization variables come from the 1991 census.

    file 5cd5b8796355e025807dc303263b1fbb16f442c3c7551f14ee3557768a310894 · frame —
  2. 1Turno do modelo
    call_74c33694referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Texto visível

    Table II, Panel B (placebo tests), column (3): local linear RD at 40,500 voters, rectangular kernel, bandwidth 5,000, robust errors (munic.do: reg y treat dep deptreat if bw<h, rob).

    Chamadas pedidas
    • infer.rdd
      {
        "bandwidth": 5000,
        "cutoff": 40500,
        "dataset": "munic",
        "kernel": "uniform",
        "polynomial": 1,
        "running": "voters96",
        "y": "r_util94"
      }
  3. 2Ferramenta
    infer.rddv0.1.0call_c319bb1adecidido pelo modeloreexecutável

    Motivo: Table II, Panel B (placebo tests), column (3): local linear RD at 40,500 voters, rectangular kernel, bandwidth 5,000, robust errors (munic.do: reg y treat dep deptreat if bw<h, rob).

    Argumentos
    {
      "bandwidth": 5000,
      "cluster": null,
      "cutoff": 40500,
      "dataset": "munic",
      "kernel": "uniform",
      "level": 0.95,
      "polynomial": 1,
      "running": "voters96",
      "subset": null,
      "y": "r_util94"
    }
    Figuras call_c319bb1a
    ChaveValorValor brutoErro-padrãoIC
    effect
    Jump in r_util94 at the cutoff of voters96
    0,00637018 0.0063701837826474480,03278670.03278673393865989-0,0578906 – 0,070631
    Diagnósticos
    • bandwidth = 5.0005000
    • bandwidth_method = "user"
    • n_left = 7575
    • n_right = 4141
    • kernel = "uniform"
    • polynomial = 11
    • bandwidth_sensitive = false
    • n_obs = 4.8094809
    • se_type = "HC1"
    Tabelas (1)
    {
      "sensitivity": [
        {
          "bandwidth": 2500,
          "ci_high": 0.0766836341726126,
          "ci_low": -0.086128892501157,
          "estimate": -0.004722629164272202,
          "multiplier": 0.5,
          "n_left": 43,
          "n_right": 18,
          "se": 0.04153457103243071
        },
        {
          "bandwidth": 5000,
          "ci_high": 0.0706310014731179,
          "ci_low": -0.05789063390782301,
          "estimate": 0.006370183782647448,
          "multiplier": 1,
          "n_left": 75,
          "n_right": 41,
          "se": 0.03278673393865989
        },
        {
          "bandwidth": 10000,
          "ci_high": 0.03834531606704883,
          "ci_low": -0.05375226421337077,
          "estimate": -0.007703474073160969,
          "multiplier": 2,
          "n_left": 151,
          "n_right": 78,
          "se": 0.02349471240463436
        }
      ]
    }
    • 472 rows were dropped because one of 'r_util94', 'voters96' was missing
    Digests dos dados
    munic 4849fb53b02d5e1e529b6e802d6e90e871843cf5f89da8ad229cd022bbd01f2e
    sha256 do resultado
    b4b8b7d1fe4874b51c7413f823aa0b02e2060da08dca1f8a4acfb29b432c18ef
  4. 3Turno do modelo
    call_e64200eareferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Chamadas pedidas
    • submit_answer (meta-ferramenta)
      {
        "answer": "Estimativa (infer.rdd): effect = 0,006370.",
        "caveats": [],
        "figure_refs": [
          "call_c319bb1a:effect"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    0,006370
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa (infer.rdd): effect = 0,006370.

    Figuras citadas: call_c319bb1a:effect · Parada: answered
    Figura da resposta: call_c319bb1a:effect = 0,006370180.006370183782647448 (se 0,03278670.03278673393865989)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta escolhidapassouobrigatóriaanswer figure call_c319bb1a:effect (infer.rdd)
  9. 8Pontuação
    #2ferramenta chamadapassouobrigatóriaanswer call is infer.rdd
  10. 9Pontuação
    #3argumento igualpassouobrigatóriainfer.rdd.y = 'r_util94'
  11. 10Pontuação
    #4argumento igualpassouobrigatóriainfer.rdd.running = 'voters96'
  12. 11Pontuação
    #5argumento igualpassouobrigatóriainfer.rdd.cutoff = 40500.0
  13. 12Pontuação
    #6argumento igualpassouobrigatóriainfer.rdd.bandwidth = 5000.0
  14. 13Pontuação
    #7argumento igualpassouobrigatóriainfer.rdd.kernel = 'uniform'
  15. 14Pontuação
    #8argumento igualpassouobrigatóriainfer.rdd.polynomial = 1
  16. 15Pontuação
    #9diagnósticopassouobrigatória75 vs 75
  17. 16Pontuação
    #10diagnósticopassouobrigatória41 vs 41
  18. 17Pontuação
    #11figura da resposta próximapassouobrigatória0.006370183783 vs 0.006370183782644062
  19. 18Pontuação
    #12figura da resposta próximapassouobrigatória0.03278673394 vs 0.03278673393864601
  20. 19Pontuação
    #13figura da resposta próximapassouregistrada0.006370183783 vs 0.006
  21. 20Pontuação
    #14figura da resposta próximafalhouregistrada0.03278673394 vs 0.032

Épocas × verificações

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Época 1passoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassoupassoufalhou

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