Tarefa qrdata_socsci.398

Veredito

Pergunta feita ao analista

To explore if female politicians are more likely to support policies about drinking water, please estimate the average causal effects of the reservation policy on the number of new or repaired drinking water facilities since the reserve policy started. Please round to the nearest hundredth.

Valores esperados e de onde vêm

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

   To explore if female politicians are more likely to support policies about drinking water, please estimate the average causal effects of the reservation policy on the number of new or repaired drinking water facilities since the reserve policy started. Please round to the nearest hundredth.

   women (agent)

   Researchers conducted randomized policy experiment in India where, since the mid-1990s, one-third of village council heads have been randomly reserved for female politicians. The CSV data set women.csv contains a subset of this data from West Bengal. The policy was implemented at the level of government called Gram Panchayat or GP. Each GP contains many villages. For this study, two villages were selected at random within each GP for detailed data collection. Each observation in the data set represents a village and there are two villages associated with each GP. Variable Description GP: identifier for the Gram Panchayat (GP) village: identifier for each village reserved: binary variable indicating whether the GP was reserved for women leaders or not female: binary variable indicating whether the GP had a female leader or not irrigation: variable measuring the number of new or repaired irrigation facilities in the village since the reserve policy started water: variable measuring the number of new or repaired drinking water facilities in the village since the reservation policy started

   file 3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970 · frame —
2. 1Turno do modelo
   call_1bb22628referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   Difference in means of new drinking-water facilities between reserved and unreserved GPs (OLS on the randomised reservation indicator).

   Chamadas pedidas

   • infer.ols

     {
       "dataset": "women",
       "x": [
         "reserved"
       ],
       "y": "water"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
3. 2Ferramenta
   infer.olsv0.1.0call_c379304bdecidido pelo modeloreexecutável

   Motivo: Difference in means of new drinking-water facilities between reserved and unreserved GPs (OLS on the randomised reservation indicator).

   Argumentos

   {
     "cluster": null,
     "controls": [],
     "dataset": "women",
     "fe": [],
     "intercept": true,
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "weights": null,
     "x": [
       "reserved"
     ],
     "y": "water"
   }

   Figuras call_c379304b

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.reserved Coefficient on reserved in the regression of water	9,25242	9.252422983731394	5,093225.09321851662652	-0,768 – 19,2728

   Diagnósticos

   • n_obs = 322322
   • k = 22
   • r2 = 0,01687610.016876051247779134
   • df_resid = 320320
   • se_type = "HC1"
   • n_clusters = —

   Tabelas (1)

   {
     "coefficients": [
       {
         "ci_high": 17.29452761817752,
         "ci_low": 12.182107895841172,
         "coef": 14.738317757009346,
         "p": 2.704123431146596e-25,
         "se": 1.2992799628327463,
         "t": 11.34345035605431,
         "term": "Intercept"
       },
       {
         "ci_high": 19.272846425727472,
         "ci_low": -0.7680004582646855,
         "coef": 9.252422983731394,
         "p": 0.07021135844802597,
         "se": 5.09321851662652,
         "t": 1.8166161442960655,
         "term": "reserved"
       }
     ]
   }

   Digests dos dados

   women 8b9618b5541a641626f67ccf0b06acbb4c6846dba68360908110838370c225ca

   sha256 do resultado

   a27c32fda889c74c5a02ad34e13f10bebd88fc4c2ffcc7b4fe041c42d594bb44

   Resultado mostrado ao modelo
4. 3Turno do modelo
   call_cc0a5cc8referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Chamadas pedidas

   • submit_answer (meta-ferramenta)

     {
       "answer": "Estimativa (infer.ols): coef.reserved = 9,252. Caminho de referência inferido à mão.",
       "caveats": [],
       "figure_refs": [
         "call_c379304b:coef.reserved"
       ]
     }

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

   Números encontrados

   9,252

   Sem lastro

   —

   Não citados

   —

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

   Estimativa (infer.ols): coef.reserved = 9,252. Caminho de referência inferido à mão.

   Figuras citadas: call_c379304b:coef.reserved · Parada: answered

   Figura da resposta: call_c379304b:coef.reserved = 9,252429.252422983731394 (se 5,093225.09321851662652)
7. 6Pontuação
   #0resposta com lastropassouobrigatóriaevery number backed
8. 7Pontuação
   #1figura da resposta próximapassouobrigatória9.25 in (8.9725, 9.5275)?

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)

Downloads desta tarefa