{"attempt":1,"datasets":{"jtrain":{"description_shown":"Wooldridge's JTRAIN data (Holzer, Block, Cheatham and Knott's Michigan job-training survey; R package wooldridge): one row per firm and year, 157 firms over 1987-1989 (471 rows); scrap rates exist for a subset of firms. Columns: rownames, a row number; year; fcode, firm code; employ, employees; sales, annual sales (dollars); avgsal, average employee salary; scrap, scrap rate (per 100 items); rework, rework rate; tothrs, total hours of training; union, 1 if unionized; grant, 1 if the firm received a job-training grant in that year; d88 and d89, 1 for 1988 and 1989; totrain, total employees trained; hrsemp, training hours per employee; lscrap, log of scrap; lemploy, lsales, lrework, lhrsemp, logs of those columns; lscrap_1, lscrap lagged one year; grant_1, grant lagged one year; clscrap, cgrant, clemploy, clsales, lavgsal, clavgsal, cgrant_1, chrsemp, clhrsemp, first differences and logs of the named columns.","file_sha256":"2820079b04c953a3555a3722e4b14430bc9efedfd6870715a863717de8177383","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"Wooldridge, Introductory Econometrics, Example 14.1 (the effect of job training grants on firm scrap rates, Michigan manufacturing firms, 1987-1989): using the firms with scrap rates in all three years, estimate by fixed effects (a separate intercept for each of the firms) the regression of the log scrap rate on the grant indicator, the grant indicator lagged one year, and year dummies for 1988 and 1989. Report the coefficient on the grant indicator for the current year.","question_sha256":"806a2fbfcfbb8812705127c313a820f9e1bd1a92881e2018b5e29725db71b8a0","run_id":"20261015T165744Z-suite-paper_repro-scripted-def9df","seq":0,"skills":[],"task_id":"paper_repro.wooldridge_jtrain.ex14_1_grant.agent","task_sha256":"31fd9711c0dc0192bf6081054e2411e71625fd19ec66e8233500de034d820aa3","timestamp":"2026-10-15T16:57:57.626268Z"}
{"attempt":1,"attempts":[],"call_id":"call_a7933b49","epoch":1,"event":"model","finish_reason":"tool_use","latency_ms":0.0,"model_reported":"reference","model_requested":"reference","provider":"scripted","request":{"config":{},"contents_refs":[],"messages_refs":["1e27e13b84905fb8b43e4e47bd9e158469f251846b8bc94a2a95341fa98446c0"],"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"1247c17b04c4af4265c6ce4a7216cb6e72a299c557fb3078ff17db5aa377936c","tools_ref":"52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b"},"response":{"text":"Wooldridge Example 14.1: fixed effects regression of the log scrap rate on the job-training grant, its one-year lag and year dummies for 1988 and 1989, firm fixed effects, classical errors.","thoughts":null,"tool_calls":[{"args":{"controls":["d88","d89"],"dataset":"jtrain","fe":["fcode"],"se":"classical","x":["grant","grant_1"],"y":"lscrap"},"llm_name":"infer__ols","tool_id":"infer.ols","vendor_id":"script_1"}]},"response_id":null,"run_id":"20261015T165744Z-suite-paper_repro-scripted-def9df","seq":1,"task_id":"paper_repro.wooldridge_jtrain.ex14_1_grant.agent","timestamp":"2026-10-15T16:57:57.626268Z","usage":{"cached":0,"input":0,"output":0,"thoughts":0},"vendor":false}
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