Tarefa paper_repro.mmv_2011.tab20_1_c2.agent

Veredito

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.

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Caminho de referência e caminho do agente

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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_cd5ade5creferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   Table 20.1, column 'Linear with Kernel Weight': WLS of support on participation with a line in centred income interacted with participation, weights 1 - 100|income| (a triangular kernel of bandwidth 0.01). The treated side is below the cutoff, so the running variable is the declared negation Income_Below.

   Chamadas pedidas

   • infer.rdd

     {
       "bandwidth": 0.01,
       "cutoff": 0,
       "dataset": "gov_transfers",
       "kernel": "triangular",
       "polynomial": 1,
       "running": "Income_Below",
       "y": "Support"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
4. 3Ferramenta
   infer.rddv0.1.0call_444b13b9decidido pelo modeloreexecutável

   Motivo: Table 20.1, column 'Linear with Kernel Weight': WLS of support on participation with a line in centred income interacted with participation, weights 1 - 100|income| (a triangular kernel of bandwidth 0.01). The treated side is below the cutoff, so the running variable is the declared negation Income_Below.

   Argumentos

   {
     "bandwidth": 0.01,
     "cluster": null,
     "cutoff": 0,
     "dataset": "gov_transfers",
     "kernel": "triangular",
     "level": 0.95,
     "polynomial": 1,
     "running": "Income_Below",
     "subset": null,
     "y": "Support"
   }

   Figuras call_444b13b9

   Chave	Valor	Valor bruto	Erro-padrão	IC
   effect Jump in Support at the cutoff of Income_Below	0,0334818	0.03348175396085768	0,04419590.04419589592144589	-0,0531406 – 0,120104

   Diagnósticos

   • bandwidth = 0,010.01
   • bandwidth_method = "user"
   • n_left = 400400
   • n_right = 537537
   • kernel = "triangular"
   • polynomial = 11
   • bandwidth_sensitive = false
   • n_obs = 1.9481948
   • se_type = "HC1"

   Tabelas (1)

   {
     "sensitivity": [
       {
         "bandwidth": 0.005,
         "ci_high": 0.11400899969691185,
         "ci_low": -0.16831958537112499,
         "estimate": -0.027155292837106566,
         "multiplier": 0.5,
         "n_left": 186,
         "n_right": 276,
         "se": 0.07202392168810465
       },
       {
         "bandwidth": 0.01,
         "ci_high": 0.12010411823137229,
         "ci_low": -0.05314061030965694,
         "estimate": 0.03348175396085768,
         "multiplier": 1,
         "n_left": 400,
         "n_right": 537,
         "se": 0.04419589592144589
       },
       {
         "bandwidth": 0.02,
         "ci_high": 0.15743353252374911,
         "ci_low": 0.0342718586238353,
         "estimate": 0.09585269557379221,
         "multiplier": 2,
         "n_left": 821,
         "n_right": 1127,
         "se": 0.03141937170055098
       }
     ]
   }

   Digests dos dados

   gov_transfers ee25bc8672392d74aa124b1f295a152c7535bd2d306ed08a52b235e4ddbe5113

   sha256 do resultado

   887da50cc9029b846f491b3d39256500aa9ebde3c18d3f457aa0f0bebc4868e9

   Resultado mostrado ao modelo
5. 4Turno do modelo
   call_adcb4dd6referenceFim: 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 = 0,03348.",
       "caveats": [],
       "figure_refs": [
         "call_444b13b9:effect"
       ]
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
6. 5Guarda
   resposta aceita

   Números encontrados

   0,03348

   Sem lastro

   —

   Não citados

   —

   1 nova(s) tentativa(s) restante(s)
7. 6Resposta

   Estimativa (infer.rdd): effect = 0,03348.

   Figuras citadas: call_444b13b9:effect · Parada: answered

   Figura da resposta: call_444b13b9:effect = 0,03348180.03348175396085768 (se 0,04419590.04419589592144589)
8. 7Pontuação
   #0resposta com lastropassouobrigatóriaevery number backed
9. 8Pontuação
   #1figura da resposta escolhidapassouobrigatóriaanswer figure call_444b13b9:effect (infer.rdd)
10. 9Pontuação
    #2ferramenta chamadapassouobrigatóriaanswer call is infer.rdd
11. 10Pontuação
    #3argumento igualpassouobrigatóriainfer.rdd.y = 'Support'
12. 11Pontuação
    #4argumento igualpassouobrigatóriainfer.rdd.running = 'Income_Below'
13. 12Pontuação
    #5argumento igualpassouobrigatóriainfer.rdd.cutoff = 0.0
14. 13Pontuação
    #6argumento igualpassouobrigatóriainfer.rdd.bandwidth = 0.01
15. 14Pontuação
    #7argumento igualpassouobrigatóriainfer.rdd.kernel = 'triangular'
16. 15Pontuação
    #8argumento igualpassouobrigatóriainfer.rdd.polynomial = 1
17. 16Pontuação
    #9diagnósticopassouobrigatória400 vs 400
18. 17Pontuação
    #10diagnósticopassouobrigatória537 vs 537
19. 18Pontuação
    #11figura da resposta próximapassouobrigatória0.03348175396 vs 0.03348175396085784
20. 19Pontuação
    #12figura da resposta próximapassouregistrada0.04419589592 vs 0.04419589592144583
21. 20Pontuação
    #13figura da resposta próximapassouregistrada0.03348175396 vs 0.033
22. 21Pontuação
    #14figura da resposta próximafalhouregistrada0.04419589592 vs 0.021

Épocas × verificações

Tentativas

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

• época 1, tentativa 1passoupontuada(exibindo)

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