Tarefa causcibench_real.q005

Veredito

Pergunta feita ao analista

What is the effect of the training program on job earnings for 1978?

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

   What is the effect of the training program on job earnings for 1978?

   dehejia_propensity_score (agent)

   The data originates from the National Supported Work (NSW) Demonstration, which was a temporary employment program created to assist disadvantaged workers lacking basic job skills in entering the labor market. The NSW program randomly assigned qualified applicants to either a treatment group, which received the benefits of the NSW program, or a control group, which did not. Participants in the treatment group were guaranteed a job for a duration of 9 to 18 months. Variables Measured: treat: whether the applicant received the training (1 if received training, 0 otherwise) age: measured in years education: measured in years black: indicating race (1 if Black, 0 otherwise) hispanic: indicating race (1 if Hispanic, 0 otherwise) married: indicating marital status (1 if married, 0 otherwise) nodegree: indicating high school diploma (1 if no degree, 0 otherwise) re74: real earnings in 1974 re75: real earnings in 1975 re78: real earnings in 1978

   file 301ac38a23accac1694b5be91c3967dc22fc38c70c3a82ab4d67786194a816eb · frame —
2. 1Turno do modelo
   call_a6a48ce7referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   causcibench_metadata_rule/1: ols

   Chamadas pedidas

   • infer.ols

     {
       "controls": [
         "age",
         "education",
         "black",
         "hispanic",
         "nodegree",
         "re74",
         "re75"
       ],
       "dataset": "dehejia_propensity_score",
       "x": [
         "treat"
       ],
       "y": "re78"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
3. 2Ferramenta
   infer.olsv0.1.0call_093e937cdecidido pelo modeloreexecutável

   Motivo: causcibench_metadata_rule/1: ols

   Argumentos

   {
     "cluster": null,
     "controls": [
       "age",
       "education",
       "black",
       "hispanic",
       "nodegree",
       "re74",
       "re75"
     ],
     "dataset": "dehejia_propensity_score",
     "fe": [],
     "intercept": true,
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "weights": null,
     "x": [
       "treat"
     ],
     "y": "re78"
   }

   Figuras call_093e937c

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.treat Coefficient on treat in the regression of re78	1.673,48	1673.4848130406144	674,783674.7829621510485	347,253 – 2.999,72

   Diagnósticos

   • n_obs = 445445
   • k = 99
   • r2 = 0,05477590.05477593527479674
   • df_resid = 436436
   • se_type = "HC1"
   • n_clusters = —

   Tabelas (1)

   {
     "coefficients": [
       {
         "ci_high": 7182.123043828514,
         "ci_low": -5490.240895975875,
         "coef": 845.9410739263195,
         "p": 0.7931351554241328,
         "se": 3223.8312657192605,
         "t": 0.2624024039104242,
         "term": "Intercept"
       },
       {
         "ci_high": 2999.716642802574,
         "ci_low": 347.25298327865494,
         "coef": 1673.4848130406144,
         "p": 0.01351360757422965,
         "se": 674.7829621510485,
         "t": 2.480034184185594,
         "term": "treat"
       },
       {
         "ci_high": 129.75241215226677,
         "ci_low": -21.987781624847635,
         "coef": 53.882315263709565,
         "p": 0.16347759403489867,
         "se": 38.60248831935864,
         "t": 1.395824922423156,
         "term": "age"
       },
       {
         "ci_high": 775.2571909492856,
         "ci_low": 10.556874784264267,
         "coef": 392.9070328667749,
         "p": 0.044027201639168234,
         "se": 194.53866696605093,
         "t": 2.0196860551909785,
         "term": "education"
       },
       {
         "ci_high": -187.2894716780038,
         "ci_low": -4150.941061935906,
         "coef": -2169.115266806955,
         "p": 0.03201246953332277,
         "se": 1008.3472968255468,
         "t": -2.151158904908763,
         "term": "black"
       },
       {
         "ci_high": 2810.8037026792404,
         "ci_low": -2510.45613851364,
         "coef": 150.17378208280005,
         "p": 0.9117196676556997,
         "se": 1353.7208945814664,
         "t": 0.11093408004847978,
         "term": "hispanic"
       },
       {
         "ci_high": 1937.5247546627015,
         "ci_low": -2086.8071684256756,
         "coef": -74.64120688148705,
         "p": 0.9419134284974374,
         "se": 1023.7842867291178,
         "t": -0.07290716203503943,
         "term": "nodegree"
       },
       {
         "ci_high": 0.29089481574977305,
         "ci_low": -0.12580340721038863,
         "coef": 0.0825457042696922,
         "p": 0.43659154108520354,
         "se": 0.10600743207264302,
         "t": 0.7786784629697157,
         "term": "re74"
       },
       {
         "ci_high": 0.28312625770366157,
         "ci_low": -0.18688561601191228,
         "coef": 0.04812032084587463,
         "p": 0.6875548247101434,
         "se": 0.11957034859014228,
         "t": 0.40244359419590925,
         "term": "re75"
       }
     ]
   }

   Digests dos dados

   dehejia_propensity_score 7d37e4b64ffef37edc3d25e43f6438624dff60ce4635743ba588b9beb6ba3965

   sha256 do resultado

   39e9cb682e166782067bae57ad3064c61d4568e78decb0900301f3325e6693bc

   Resultado mostrado ao modelo
4. 3Turno do modelo
   call_22be961breferenceFim: 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.treat = 1673.",
       "caveats": [],
       "figure_refs": [
         "call_093e937c:coef.treat"
       ]
     }

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

   Números encontrados

   1673

   Sem lastro

   —

   Não citados

   —

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

   Estimativa (infer.ols): coef.treat = 1673.

   Figuras citadas: call_093e937c:coef.treat · Parada: answered

   Figura da resposta: call_093e937c:coef.treat = 1.673,481673.4848130406144 (se 674,783674.7829621510485)
7. 6Pontuação
   #0resposta com lastropassouobrigatóriaevery number backed
8. 7Pontuação
   #1figura da resposta próximapassouobrigatória1673.484813 vs 1672.204

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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