{"call_id":"call_a1b04da2","run_id":"bench_dgp.iv_strong.fast_0","step":"analysis","kind":"tool","name":"infer.iv_2sls","version":"0.1.0","code_version":"2925aeab2262","inputs":{"dataset":"d","y":"log_salario","endog":["anos_estudo"],"instruments":["distancia_escola"],"exog":[],"cluster":null,"se":"HC1","subset":null,"level":0.95},"input_digest":"e1b712fe0dd0129897adb6d458a9973c8bca5c1492698c9e70d65f8a4777f194","dataset_digests":{"d":"9aaa6f52c3a7e3ace873e80a59e233fec8f57d76752f730fdb78e88653f27bcb"},"result":{"tool":"infer.iv_2sls","version":"0.1.0","call_id":"call_a1b04da2","status":"ok","reason":"","figures":[{"key":"coef.anos_estudo","value":0.4594816045905887,"unit":"","label":"2SLS effect of anos_estudo on log_salario","se":0.047743660877698574,"ci_low":0.3658679549591648,"ci_high":0.5530952542220126,"ci_level":0.95,"derivation":{"steps":[{"text_pt":"Com um instrumento e um regressor endógeno, o MQ2E é a razão entre o coeficiente de distancia_escola na forma reduzida (log_salario sobre distancia_escola) e no primeiro estágio (anos_estudo sobre distancia_escola).","formula":"β = ρ / π","terms":[{"symbol":"ρ","value":-0.2774718239368827,"unit":"","note":"forma reduzida"},{"symbol":"π","value":-0.6038801579099516,"unit":"","note":"primeiro estágio"}],"result":0.4594816045905887,"unit":""},{"text_pt":"Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.","formula":"ep = √V_jj","terms":[{"symbol":"V_jj","value":0.0022794571540046852,"unit":"","note":"diagonal da matriz de covariância"}],"result":0.047743660877698574,"unit":""},{"text_pt":"Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 2998 graus de liberdade vezes o erro-padrão.","formula":"IC = β ± c · ep","terms":[{"symbol":"β","value":0.4594816045905887,"unit":"","note":""},{"symbol":"c","value":1.9607555832642805,"unit":"","note":"quantil 0.975"},{"symbol":"ep","value":0.047743660877698574,"unit":"","note":""}],"result":null,"unit":""}],"note_pt":""}}],"diagnostics":[{"name":"first_stage_F.anos_estudo","value":537.9969819503206,"flag":false,"note":"Wald F of the excluded instruments in the first stage for anos_estudo (heteroskedasticity-robust standard errors (HC1))"},{"name":"partial_r2.anos_estudo","value":0.15068717776592144,"flag":false,"note":"share of the variation the instruments explain beyond the controls"},{"name":"weak_instrument","value":false,"flag":false,"note":"every first-stage F is at least 10"},{"name":"n_obs","value":3000,"flag":false,"note":""},{"name":"se_type","value":"HC1","flag":false,"note":"heteroskedasticity-robust standard errors (HC1)"},{"name":"n_clusters","value":null,"flag":false,"note":"errors not clustered"}],"tables":{"coefficients":[{"term":"Intercept","coef":1.3190192681590094,"se":0.38307138173235383,"t":3.4432727973414314,"p":0.0005825980433307863,"ci_low":0.5679099176385342,"ci_high":2.0701286186794845},{"term":"anos_estudo","coef":0.4594816045905887,"se":0.047743660877698574,"t":9.623929044059041,"p":1.2966751585927524e-21,"ci_low":0.3658679549591648,"ci_high":0.5530952542220126}],"first_stage":[{"endog":"anos_estudo","instrument":"distancia_escola","coef":-0.6038801579099516,"se":0.026035195325268053,"t":-23.19476195071466,"p":1.326922604573249e-109,"ci_low":-0.6549288125053471,"ci_high":-0.5528315033145562}],"reduced_form":[{"instrument":"distancia_escola","coef":-0.2774718239368827,"se":0.03701701056294218,"t":-7.495792332151759,"p":8.625842024789069e-14,"ci_low":-0.3500531340739244,"ci_high":-0.20489051379984097}]},"datasets":{},"warnings":[],"assumptions":["the instruments affect the outcome only through the endogenous regressors (exclusion restriction)","the instruments are as good as randomly assigned given the controls","errors are independent across observations; their variance may differ"],"notes":""},"outputs":null,"output_digest":"08d7e285488093a35d2e4a92193f68b3a48a7927baaf1d61c244f7c6f5afb875","params_versions":[],"sources":[],"started_at":"2026-10-15T17:13:11.727095Z","duration_ms":2.5949159171432257,"error":null,"decided_by":"code","rationale":"","cached":false,"informed_by":[],"model":null,"prompt":null,"response":null,"tokens_in":null,"tokens_out":null,"meta":{}}
{"call_id":"call_72ce7624","run_id":"bench_dgp.iv_strong.fast_1","step":"analysis","kind":"tool","name":"infer.iv_2sls","version":"0.1.0","code_version":"2925aeab2262","inputs":{"dataset":"d","y":"log_salario","endog":["anos_estudo"],"instruments":["distancia_escola"],"exog":[],"cluster":null,"se":"HC1","subset":null,"level":0.95},"input_digest":"e1b712fe0dd0129897adb6d458a9973c8bca5c1492698c9e70d65f8a4777f194","dataset_digests":{"d":"40671b61940dc5cbad82d268fb94d993fbee6b4cacded5bd7c7535a503dadc69"},"result":{"tool":"infer.iv_2sls","version":"0.1.0","call_id":"call_72ce7624","status":"ok","reason":"","figures":[{"key":"coef.anos_estudo","value":0.48993411335876286,"unit":"","label":"2SLS effect of anos_estudo on log_salario","se":0.04782892414953512,"ci_low":0.3961532832910381,"ci_high":0.5837149434264877,"ci_level":0.95,"derivation":{"steps":[{"text_pt":"Com um instrumento e um regressor endógeno, o MQ2E é a razão entre o coeficiente de distancia_escola na forma reduzida (log_salario sobre distancia_escola) e no primeiro estágio (anos_estudo sobre distancia_escola).","formula":"β = ρ / π","terms":[{"symbol":"ρ","value":-0.28826873671876646,"unit":"","note":"forma reduzida"},{"symbol":"π","value":-0.5883826597468934,"unit":"","note":"primeiro estágio"}],"result":0.48993411335876286,"unit":""},{"text_pt":"Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.","formula":"ep = √V_jj","terms":[{"symbol":"V_jj","value":0.002287605985301984,"unit":"","note":"diagonal da matriz de covariância"}],"result":0.04782892414953512,"unit":""},{"text_pt":"Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 2998 graus de liberdade vezes o erro-padrão.","formula":"IC = β ± c · ep","terms":[{"symbol":"β","value":0.48993411335876286,"unit":"","note":""},{"symbol":"c","value":1.9607555832642805,"unit":"","note":"quantil 0.975"},{"symbol":"ep","value":0.04782892414953512,"unit":"","note":""}],"result":null,"unit":""}],"note_pt":""}}],"diagnostics":[{"name":"first_stage_F.anos_estudo","value":515.8483166443116,"flag":false,"note":"Wald F of the excluded instruments in the first stage for anos_estudo (heteroskedasticity-robust standard errors (HC1))"},{"name":"partial_r2.anos_estudo","value":0.1488737305454143,"flag":false,"note":"share of the variation the instruments explain beyond the controls"},{"name":"weak_instrument","value":false,"flag":false,"note":"every first-stage F is at least 10"},{"name":"n_obs","value":3000,"flag":false,"note":""},{"name":"se_type","value":"HC1","flag":false,"note":"heteroskedasticity-robust standard errors (HC1)"},{"name":"n_clusters","value":null,"flag":false,"note":"errors not clustered"}],"tables":{"coefficients":[{"term":"Intercept","coef":1.074849461997905,"se":0.38295218907048945,"t":2.8067458358360735,"p":0.005036799330741749,"ci_low":0.3239738191546645,"ci_high":1.8257251048411454},{"term":"anos_estudo","coef":0.48993411335876286,"se":0.04782892414953512,"t":10.243469241060167,"p":3.1592289725918277e-24,"ci_low":0.3961532832910381,"ci_high":0.5837149434264877}],"first_stage":[{"endog":"anos_estudo","instrument":"distancia_escola","coef":-0.5883826597468934,"se":0.025905910232464777,"t":-22.712294394100997,"p":1.6640256093137801e-105,"ci_low":-0.6391778178747419,"ci_high":-0.5375875016190449}],"reduced_form":[{"instrument":"distancia_escola","coef":-0.28826873671876646,"se":0.03640510414304775,"t":-7.918360447097276,"p":3.359634896992249e-15,"ci_low":-0.3596502479265649,"ci_high":-0.216887225510968}]},"datasets":{},"warnings":[],"assumptions":["the instruments affect the outcome only through the endogenous regressors (exclusion restriction)","the instruments are as good as randomly assigned given the controls","errors are independent across observations; their variance may differ"],"notes":""},"outputs":null,"output_digest":"950be824444f418b8f8c5e447525e7012c69e2076ab6e6a8aaa9ba6f6be2c941","params_versions":[],"sources":[],"started_at":"2026-10-15T17:13:11.730399Z","duration_ms":2.5978328194469213,"error":null,"decided_by":"code","rationale":"","cached":false,"informed_by":[],"model":null,"prompt":null,"response":null,"tokens_in":null,"tokens_out":null,"meta":{}}
{"call_id":"call_144549ec","run_id":"bench_dgp.iv_strong.fast_2","step":"analysis","kind":"tool","name":"infer.iv_2sls","version":"0.1.0","code_version":"2925aeab2262","inputs":{"dataset":"d","y":"log_salario","endog":["anos_estudo"],"instruments":["distancia_escola"],"exog":[],"cluster":null,"se":"HC1","subset":null,"level":0.95},"input_digest":"e1b712fe0dd0129897adb6d458a9973c8bca5c1492698c9e70d65f8a4777f194","dataset_digests":{"d":"029a03c7512b9f63c771855fd7f6c198b0e5550eb7dc83b9bd38722618f9557c"},"result":{"tool":"infer.iv_2sls","version":"0.1.0","call_id":"call_144549ec","status":"ok","reason":"","figures":[{"key":"coef.anos_estudo","value":0.5208585638520489,"unit":"","label":"2SLS effect of anos_estudo on log_salario","se":0.04624462329502622,"ci_low":0.4301841605303728,"ci_high":0.611532967173725,"ci_level":0.95,"derivation":{"steps":[{"text_pt":"Com um instrumento e um regressor endógeno, o MQ2E é a razão entre o coeficiente de distancia_escola na forma reduzida (log_salario sobre distancia_escola) e no primeiro estágio (anos_estudo sobre distancia_escola).","formula":"β = ρ / π","terms":[{"symbol":"ρ","value":-0.30825558595992714,"unit":"","note":"forma reduzida"},{"symbol":"π","value":-0.5918220556463526,"unit":"","note":"primeiro estágio"}],"result":0.5208585638520489,"unit":""},{"text_pt":"Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.","formula":"ep = √V_jj","terms":[{"symbol":"V_jj","value":0.0021385651836988815,"unit":"","note":"diagonal da matriz de covariância"}],"result":0.04624462329502622,"unit":""},{"text_pt":"Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 2998 graus de liberdade vezes o erro-padrão.","formula":"IC = β ± c · ep","terms":[{"symbol":"β","value":0.5208585638520489,"unit":"","note":""},{"symbol":"c","value":1.9607555832642805,"unit":"","note":"quantil 0.975"},{"symbol":"ep","value":0.04624462329502622,"unit":"","note":""}],"result":null,"unit":""}],"note_pt":""}}],"diagnostics":[{"name":"first_stage_F.anos_estudo","value":565.7178964304716,"flag":false,"note":"Wald F of the excluded instruments in the first stage for anos_estudo (heteroskedasticity-robust standard errors (HC1))"},{"name":"partial_r2.anos_estudo","value":0.14918783565060967,"flag":false,"note":"share of the variation the instruments explain beyond the controls"},{"name":"weak_instrument","value":false,"flag":false,"note":"every first-stage F is at least 10"},{"name":"n_obs","value":3000,"flag":false,"note":""},{"name":"se_type","value":"HC1","flag":false,"note":"heteroskedasticity-robust standard errors (HC1)"},{"name":"n_clusters","value":null,"flag":false,"note":"errors not clustered"}],"tables":{"coefficients":[{"term":"Intercept","coef":0.850177340276384,"se":0.3728609487219608,"t":2.280145837719128,"p":0.022668955736732378,"ci_low":0.1190881532885828,"ci_high":1.5812665272641853},{"term":"anos_estudo","coef":0.5208585638520489,"se":0.04624462329502622,"t":11.263116157939796,"p":7.515260035110559e-29,"ci_low":0.4301841605303728,"ci_high":0.611532967173725}],"first_stage":[{"endog":"anos_estudo","instrument":"distancia_escola","coef":-0.5918220556463526,"se":0.02488233811517465,"t":-23.784824919062817,"p":1.0713055309114613e-114,"ci_low":-0.6406102390303509,"ci_high":-0.5430338722623543}],"reduced_form":[{"instrument":"distancia_escola","coef":-0.30825558595992714,"se":0.03590751258165832,"t":-8.584710100954894,"p":1.4392180409172463e-17,"ci_low":-0.37866144173554606,"ci_high":-0.2378497301843082}]},"datasets":{},"warnings":[],"assumptions":["the instruments affect the outcome only through the endogenous regressors (exclusion restriction)","the instruments are as good as randomly assigned given the controls","errors are independent across observations; their variance may differ"],"notes":""},"outputs":null,"output_digest":"9e4a121650377eb7ee1fa4246ad82cf0d430bbf2c50308ee41c3f4e89ea5570e","params_versions":[],"sources":[],"started_at":"2026-10-15T17:13:11.733717Z","duration_ms":2.38641700707376,"error":null,"decided_by":"code","rationale":"","cached":false,"informed_by":[],"model":null,"prompt":null,"response":null,"tokens_in":null,"tokens_out":null,"meta":{}}
{"call_id":"call_be6a72dc","run_id":"20261015T171311Z-suite-dgp-scripted-505dfe/dgp.iv_strong.fast/e1a1","step":"bench","kind":"note","name":"bench.capture","version":"","code_version":"2925aeab2262","inputs":{"contexts":100,"kept":3},"input_digest":"","dataset_digests":{},"result":null,"outputs":{"records":100,"outputs_sha256":"2b7cd4885a2e8ed81089e9d9641797b6856687be151823b907b94dfa9c8cfbdb"},"output_digest":"","params_versions":[],"sources":[],"started_at":"2026-10-15T17:13:12.021174Z","duration_ms":0.0,"error":null,"decided_by":"code","rationale":"","cached":false,"informed_by":[],"model":null,"prompt":null,"response":null,"tokens_in":null,"tokens_out":null,"meta":{}}