Tarefa paper_repro.lmb_2004.tab1_c3.agent

Veredito

Pergunta feita ao analista

Lee, Moretti and Butler (2004), 'Do Voters Affect or Elect Policies? Evidence from the U.S. House', Table I, column (3): in the paper's close-elections sample, the House elections at time t in which the Democratic candidate's share of the two-party vote was strictly between 48 and 52 percent, estimate the difference in the probability that the Democratic candidate wins the seat's next election (t+1) between districts where the Democratic candidate's share at t was strictly between 50 and 52 percent and districts where it was strictly between 48 and 50 percent. Estimate it as the coefficient of a regression of an indicator of a Democratic win at t+1 on an indicator of a Democratic win at t, with no other regressors. Report that difference.

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Verificações

Caminho de referência e caminho do agente

A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

Trajetória

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

1. 0Início

   Lee, Moretti and Butler (2004), 'Do Voters Affect or Elect Policies? Evidence from the U.S. House', Table I, column (3): in the paper's close-elections sample, the House elections at time t in which the Democratic candidate's share of the two-party vote was strictly between 48 and 52 percent, estimate the difference in the probability that the Democratic candidate wins the seat's next election (t+1) between districts where the Democratic candidate's share at t was strictly between 50 and 52 percent and districts where it was strictly between 48 and 50 percent. Estimate it as the coefficient of a regression of an indicator of a Democratic win at t+1 on an indicator of a Democratic win at t, with no other regressors. Report that difference.

   lmb (agent)

   U.S. House elections and roll-call voting, the extract of the data of Lee, Moretti and Butler (2004), 'Do Voters Affect or Elect Policies? Evidence from the U.S. House', distributed with the causaldata R package: one row per district and congressional session (13,588 rows). Each row pairs a district's election with the one before it for the same seat. Columns: rownames, the row number; state, ICPSR state code; district, district code; id, an election identifier; score, the adjusted ADA voting score of the district's representative in the session that follows the row's election (0 to 100, higher means a more liberal roll-call record); year, year of the election; demvoteshare, the Democratic candidate's share of the two-party vote in the row's election; democrat, 1 if the Democratic candidate won the row's election; lagdemvoteshare, the Democratic share of the two-party vote in the previous election for the same seat; lagdemocrat, 1 if the Democratic candidate won that previous election. In the paper's notation the previous election is time t and the row's election, and the session after it, are time t+1.

   file 58cf9d8ef80b2871a96c00844fae975051a5aac443dff3d317fe92ffd6a516b7 · frame —
2. 1Turno do modelo
   call_f19433c1rules-1Fim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   O tratamento muda num limiar da variável de corte: regressão descontínua.

   Chamadas pedidas

   • infer.rdd

     {
       "cutoff": 0,
       "dataset": "lmb",
       "running": "score",
       "y": "rownames"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
3. 2Ferramenta
   infer.rddv0.1.0call_10e0bfeddecidido pelo modeloreexecutável

   Motivo: O tratamento muda num limiar da variável de corte: regressão descontínua.

   Argumentos

   {
     "bandwidth": null,
     "cluster": null,
     "cutoff": 0,
     "dataset": "lmb",
     "kernel": "triangular",
     "level": 0.95,
     "polynomial": 1,
     "running": "score",
     "subset": null,
     "y": "rownames"
   }

   Figuras call_10e0bfed

   Chave	Valor	Valor bruto	Erro-padrão	IC
   effect Jump in rownames at the cutoff of score	279,165	279.16473129771043	248,26248.25990671589568	-207,416 – 765,745

   Diagnósticos

   • bandwidth = 14,208614.208597376322317
   • bandwidth_method = "IK"
   • n_left = 758758
   • n_right = 3.1803180
   • kernel = "triangular"
   • polynomial = 11
   • bandwidth_sensitive = true
   • n_obs = 13.58813588
   • se_type = "HC1"

   Tabelas (1)

   {
     "sensitivity": [
       {
         "bandwidth": 7.104298688161158,
         "ci_high": 174.66283692489174,
         "ci_low": -1229.7032357853939,
         "estimate": -527.5201994302511,
         "multiplier": 0.5,
         "n_left": 575,
         "n_right": 1459,
         "se": 358.26323437260737
       },
       {
         "bandwidth": 14.208597376322317,
         "ci_high": 765.7452072661395,
         "ci_low": -207.4157446707186,
         "estimate": 279.16473129771043,
         "multiplier": 1,
         "n_left": 758,
         "n_right": 3180,
         "se": 248.25990671589568
       },
       {
         "bandwidth": 28.417194752644633,
         "ci_high": 878.4954784077543,
         "ci_low": 96.1918375711133,
         "estimate": 487.3436579894338,
         "multiplier": 2,
         "n_left": 819,
         "n_right": 5048,
         "se": 199.57092247800273
       }
     ]
   }

   Digests dos dados

   lmb 6f2fbc93d91c4156cab244ba7581cc8eae45210626f97f85ac8b2d366e4cbc20

   sha256 do resultado

   46470ef18357a2ea55f253b1097d31aa8c03af6e1a824126b728d0119a7a6d39

   Resultado mostrado ao modelo
4. 3Turno do modelo
   call_7b094112rules-1Fim: 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 = 279,2 (IC 95%: -207,4 a 765,7).",
       "caveats": [],
       "figure_refs": [
         "call_10e0bfed:effect"
       ]
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
5. 4Guarda
   resposta aceita

   Números encontrados

   279,2 · 95% · -207,4 · 765,7

   Sem lastro

   —

   Não citados

   —

   1 nova(s) tentativa(s) restante(s)
6. 5Resposta

   Estimativa (infer.rdd): effect = 279,2 (IC 95%: -207,4 a 765,7).

   Figuras citadas: call_10e0bfed:effect · Parada: answered

   Figura da resposta: call_10e0bfed:effect = 279,165279.16473129771043 (se 248,26248.25990671589568)
7. 6Pontuação
   #0resposta com lastropassouobrigatóriaevery number backed
8. 7Pontuação
   #1figura da resposta escolhidapassouobrigatóriaanswer figure call_10e0bfed:effect (infer.rdd)
9. 8Pontuação
   #2ferramenta chamadafalhouobrigatóriaanswer call is infer.rdd
10. 9Pontuação
    #3argumento igualfalhouobrigatóriaanswer call is infer.rdd, not infer.ols
11. 10Pontuação
    #4argumento igualfalhouobrigatóriaanswer call is infer.rdd, not infer.ols
12. 11Pontuação
    #5argumento igualfalhouobrigatóriaanswer call is infer.rdd, not infer.ols
13. 12Pontuação
    #6argumento igualfalhouobrigatóriaanswer call is infer.rdd, not infer.ols
14. 13Pontuação
    #7diagnósticofalhouobrigatóriaanswer call is infer.rdd, not infer.ols
15. 14Pontuação
    #8figura da resposta próximafalhouobrigatória279.1647313 vs 0.4843287147634966
16. 15Pontuação
    #9figura da resposta próximafalhouregistrada248.2599067 vs 0.02893215206729024
17. 16Pontuação
    #10figura da resposta próximafalhouregistrada279.1647313 vs 0.48
18. 17Pontuação
    #11figura da resposta próximafalhouregistrada248.2599067 vs 0.02

Épocas × verificações

Tentativas

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

• época 1, tentativa 1falhoupontuada(exibindo)

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