Tarefa paper_repro.cheng_hoekstra_2013.tab5_pb_c1.tool

Veredito

Pergunta feita ao analista

Tarefa de ferramenta: nenhuma pergunta; a especificação de referência é chamada direto.

Como o agente resolveu e como foi validado

Resumo passo a passo do que o agente executou, por que o caminho está correto e como cada verificação conferiu o resultado.

1. 1Preparação da base de dados
   castle— The state-year panel of Cheng and Hoekstra (2013), 'Does Strengthening Self-Defense Law Deter Crime or Escalate Violence? Evidence from Expansions to Castle Doctrine', as distributed with Cunningham's Causal Inference: The Mixtape: one row per U.S. state and year, 2000-2010 (550 rows: 50 states, 11 years). Columns used most: state, the state's name; sid, a numeric state id; year; cdl, the castle doctrine law variable as the paper codes it: the fraction of the year in which the state's castle doctrine (stand-your-ground) law was in effect, 0 before adoption and 1 in full years after it; post, 1 in every year from the adoption year on (any part of the year); effyear and treatment_date, the year the law took effect (missing for states that never adopted one); homicide, the homicide rate per 100,000 residents (FBI Uniform Crime Reports), and l_homicide its natural log; murder and l_murder, the murder rate and its log; population; popwt, the state's average population over 2000-2010 (constant within a state), the weight the paper's weighted regressions use; northeast, midwest, south, west, census region indicators; r20001 to r20104, region-by-year indicators named r20<two-digit year><region 1-4> (for example r20063 is region 3 in 2006); trend_1 to trend_51, state-specific linear trends; lead1 to lead9 and lag0 to lag5, event-time indicators relative to adoption; other crime rates (robbery, assault, burglary, larceny, motor) and their logs (l_robbery and so on); and the time-varying controls of the paper (police, unemployrt, income, poverty, prisoner, lagprisoner, exp_subsidy, exp_pubwelfare, and the shares of black and white men aged 15-24 and 25-44).
2. 2Chamada que gerou a resposta finalinfer.ols(Regressão linear por mínimos quadrados ordinários (MQO))citada na respostacoincide com a referência

   Ver chamada call_721e8e30 nos detalhes
   Argumentos principais

   cluster:

   "sid"

   dataset:

   "castle"

   fe:

   ["sid","year"]

   intercept:

   true

   level:

   0,950.95

   se:

   "HC1"

   x:

   ["cdl"]

   y:

   "l_homicide"

   Resultado calculado

   • coef.cdl = 0,0877014 0.08770138490539615
     Coefficient on cdl in the regression of l_homicide
   Diagnósticos: n_obs = 550550 (observations used) · k = 6161 (parameters estimated, fixed-effect dummies included) · r2 = 0,9105470.9105468478338682 · df_resid = 489489 · se_type = "cluster" (cluster-robust standard errors (CR1) by 'sid') · n_clusters = 5050 (50 clusters of 'sid') · fixed_effects = "sid (50 levels), year (11 levels)" (absorbed as dummies; their coefficients are not tabulated)
3. 3Conferência de lastro e resposta final
   • ✓
     #0figura próximacoef.cdl

     software reference
   • ✓
     #1figura próximacoef.cdl

     software reference, SE
   • ✓
     #2figura próximacoef.cdl

     published cell
   • ✗
     #3figura próximacoef.cdl

     published cell, SE (known deviation: se_convention)

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

   Tarefa de ferramenta: nenhuma pergunta; a especificação de referência é chamada direto.

   castle (agent)

   The state-year panel of Cheng and Hoekstra (2013), 'Does Strengthening Self-Defense Law Deter Crime or Escalate Violence? Evidence from Expansions to Castle Doctrine', as distributed with Cunningham's Causal Inference: The Mixtape: one row per U.S. state and year, 2000-2010 (550 rows: 50 states, 11 years). Columns used most: state, the state's name; sid, a numeric state id; year; cdl, the castle doctrine law variable as the paper codes it: the fraction of the year in which the state's castle doctrine (stand-your-ground) law was in effect, 0 before adoption and 1 in full years after it; post, 1 in every year from the adoption year on (any part of the year); effyear and treatment_date, the year the law took effect (missing for states that never adopted one); homicide, the homicide rate per 100,000 residents (FBI Uniform Crime Reports), and l_homicide its natural log; murder and l_murder, the murder rate and its log; population; popwt, the state's average population over 2000-2010 (constant within a state), the weight the paper's weighted regressions use; northeast, midwest, south, west, census region indicators; r20001 to r20104, region-by-year indicators named r20<two-digit year><region 1-4> (for example r20063 is region 3 in 2006); trend_1 to trend_51, state-specific linear trends; lead1 to lead9 and lag0 to lag5, event-time indicators relative to adoption; other crime rates (robbery, assault, burglary, larceny, motor) and their logs (l_robbery and so on); and the time-varying controls of the paper (police, unemployrt, income, poverty, prisoner, lagprisoner, exp_subsidy, exp_pubwelfare, and the shares of black and white men aged 15-24 and 25-44).

   file 804633c161827b6c0824f86f239046386d1a8266a866f83bf5ddb2aa762a5f29 · frame —
2. 1Ferramenta
   infer.ols— Regressão linear por mínimos quadrados ordinários (MQO)v0.1.0call_721e8e30decidido pelo códigoreexecutável

   Argumentos

   {
     "cluster": "sid",
     "controls": [],
     "dataset": "castle",
     "fe": [
       "sid",
       "year"
     ],
     "intercept": true,
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "weights": null,
     "x": [
       "cdl"
     ],
     "y": "l_homicide"
   }

   Figuras call_721e8e30

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.cdl Coefficient on cdl in the regression of l_homicide	0,0877014	0.08770138490539615	0,06689910.06689912458805584	-0,0467374 – 0,22214

   Diagnósticos

   • n_obs = 550550 (observations used)
   • k = 6161 (parameters estimated, fixed-effect dummies included)
   • r2 = 0,9105470.9105468478338682
   • df_resid = 489489
   • se_type = "cluster" (cluster-robust standard errors (CR1) by 'sid')
   • n_clusters = 5050 (50 clusters of 'sid')
   • fixed_effects = "sid (50 levels), year (11 levels)" (absorbed as dummies; their coefficients are not tabulated)

   Derivação matemática e pressupostos

   coef.cdl

   1. Coeficiente de cdl na regressão por mínimos quadrados ordinários de l_homicide, efeitos fixos de sid, year.→ 0,0877014 (0.08770138490539615)
   2. Erro-padrão robusto por conglomerado (CR1): a raiz da variância estimada do coeficiente.ep = √V_jj→ 0,0668991 (0.06689912458805584)
   3. Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 49 graus de liberdade vezes o erro-padrão.IC = β ± c · ep

   Pressupostos do estimador

   • the conditional mean of the outcome is linear in the regressors
   • errors are independent across clusters of 'sid' and may be correlated within them

   Tabelas (1)

   {
     "coefficients": [
       {
         "ci_high": 2.035267779456797,
         "ci_low": 1.8549305947048351,
         "coef": 1.945099187080816,
         "p": 9.62431952152882e-41,
         "se": 0.04486947824097916,
         "t": 43.350162813000196,
         "term": "Intercept"
       },
       {
         "ci_high": 0.222140209063177,
         "ci_low": -0.0467374392523847,
         "coef": 0.08770138490539615,
         "p": 0.1959855599903869,
         "se": 0.06689912458805584,
         "t": 1.3109496640716034,
         "term": "cdl"
       }
     ]
   }

   Hashes SHA-256 e metadados de reprodução

   Digests dos dados

   castle 6a9af2b4a14b985d82e0f3aea93c535c24cfc2497c4d9f07242bac5f84ae11c1

   sha256 do resultado

   e6ade8af5209a7f48f60d9bdc6044de1e43843cbc06af1120a73bb08ce0f135f

3. 2Pontuação
   #0figura próximapassouobrigatória0.08770138491 vs 0.08770138490539588
4. 3Pontuação
   #1figura próximapassouobrigatória0.06689912459 vs 0.06689912458805553
5. 4Pontuação
   #2figura próximapassouobrigatória0.08770138491 vs 0.0877
6. 5Pontuação
   #3figura próximafalhouregistrada0.06689912459 vs 0.0638

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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