{"call_id":"call_9ed48283","run_id":"20261015T170957Z-suite-crb_papers-baseline-dae0c1/crb_papers.q086/e1a1","step":"analysis","kind":"llm","name":"llm.analyst.baseline","version":"","code_version":"2925aeab2262","inputs":{"tools":["calc__annuity","calc__breakeven","calc__combine","calc__discount","calc__fiscal_impact","core__atkinson","core__equivalent_variation","core__fgt","core__gini","core__indirect_incidence","core__kakwani","core__mvpf","core__palma","core__quantile_shares","core__reynolds_smolensky","core__scale_effect","core__theil","core__welfare_change","data__cite","data__describe","data__siconfi","data__sidra","evidence__pool_dl","infer__ate","infer__density_test","infer__did_2x2","infer__did_staggered","infer__event_study","infer__fe","infer__fisher_exact","infer__iv_2sls","infer__linear_hypothesis","infer__mde","infer__neyman","infer__ols","infer__power","infer__randomization_inference","infer__rdd","infer__sample_size","infer__twfe","infer__wald_late","submit_answer"],"exemplars":[]},"input_digest":"","dataset_digests":{},"result":null,"outputs":null,"output_digest":"","params_versions":[],"sources":[],"started_at":"2026-10-15T17:09:59.795126Z","duration_ms":0.0,"error":null,"decided_by":"model","rationale":"","cached":false,"informed_by":[],"model":"rules-1","prompt":"# Role\nYou are MAGI's economist. A municipal analyst in Brazil asks a question; you answer it by choosing registered tools and their arguments. The tools compute every number. Your job is to recognise how the data were generated, pick the tool whose design matches, read what it reports, and say what the result means for the analyst.\n\n# Rules\n1. You never compute a number. Every number in your answer must have been stated by a tool call in this run (a figure, its standard error or interval, a diagnostic, a table cell) or written in the question. No mental arithmetic: for a ratio, difference, sum, product, percent change or share of figures already computed, call calc.combine; to restate a log-point coefficient as a percent or an effect in standard deviations, call core.scale_effect.\n2. Before estimating, work out the design: how units came to be treated (a lottery, an offer with partial take-up, a threshold of a running variable, a policy that started on one date or on different dates, self-selection), what a row is, and which columns hold the outcome, treatment, unit, time, running variable, instrument, cluster and survey weight. Call data.describe when the columns are unclear. Then choose the tool whose \"Use when\" matches and heed its \"Avoid when\".\n3. Read the diagnostics, warnings and \"Check after\" items a result returns before you trust a figure. If a diagnostic says the design fails — a weak instrument, sorting at the cutoff, few clusters, non-parallel pre-trends — say so plainly and do not present the estimate as causal.\n4. If no tool fits the design, or the data cannot identify what is asked, decline and say what is missing. Never invent a design, a column or a number.\n5. A tool that errors or declines returns its reason; fix the arguments and call again, or choose another tool.\n6. Before each tool call, write one sentence on why this tool and these arguments fit the design. It is recorded as your rationale.\n7. Finish with submit_answer. Write the answer in the language of the question (Portuguese: decimal comma), short and direct: the estimate with its uncertainty, the design that identifies it, and what could undermine it. List in figure_refs every figure you quote, as '<call_id>:<key>' (each tool result carries its call_id), and put diagnostics that limit the conclusion in caveats. Write numbers as the tools stated them; do not quote rule-of-thumb thresholds as numbers.\n\n# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"ds_0055\",\n \"rows\": 21773,\n \"description\": \"| Variable Name              | Description                                                                                   |\\n|---------------------------|-----------------------------------------------------------------------------------------------|\\n| Unnamed: 0                | Row index from the original file.                                                             |\\n| st_name                   | Indian state name.                                                                            |\\n| lsrs                      | Parliamentary term label for the MP (e.g., “14th Lok Sabha”).                                 |\\n| constituency              | Lok Sabha (parliamentary) constituency name.                                                  |\\n| mp                        | Name of the Member of Parliament for the constituency/year.                                   |\\n| blockurban                | Administrative block or urban ward where the project is located.                              |\\n| costsanctionedbydistrict  | Project cost sanctioned by the district authority (INR).                                      |\\n| gp_missing                | Indicator that the Gram Panchayat/local area name was missing in the source record.           |\\n| matched                   | Indicator that the project location was successfully matched to an assembly constituency via GIS. |\\n| ac_name_GIS               | State assembly constituency name obtained from the GIS match.                                 |\\n| elecyear_missing          | Indicator that the relevant state election year information was missing.                      |\\n| project_id                | Unique project identifier from the MPLADS portal.                                             |\\n| windiffsh_pc              | -                                                                                             |\\n| party_mp                  | Political party of the MP.                                                                    |\\n| project_year              | Calendar year in which the project proposal was received/sanctioned.                          |\\n| electerm                  | Year of the most recent state assembly election for the matched assembly constituency.        |\\n| windiffsh_l               | -                                                                                             |\\n| project_bef_elec          | Indicator that the project was proposed before the most recent state assembly election.       |\\n| project_bef_elec_1yr      | Indicator that the project was proposed within 1 year before the state assembly election.     |\\n| project_bef_elec_2yr      | Indicator that the project was proposed within 2 years before the state assembly election.    |\\n| project_bef_elec_3yr      | Indicator that the project was proposed within 3 years before the state assembly election.    |\\n| project_aft_elec          | Indicator that the project was proposed after the most recent state assembly election.        |\\n| project_aft_elec_1yr      | Indicator that the project was proposed within 1 year after the state assembly election.      |\\n| project_aft_elec_2yr      | Indicator that the project was proposed within 2 years after the state assembly election.     |\\n| project_bef_ls_elec       | Indicator that the project was proposed before the most recent national (Lok Sabha) election. |\\n| project_bef_ls_elec_1yr   | Indicator that the project was proposed within 1 year before the national election.           |\\n| project_bef_ls_elec_2yr   | Indicator that the project was proposed within 2 years before the national election.          |\\n| project_bef_ls_elec_3yr   | Indicator that the project was proposed within 3 years before the national election.          |\\n| project_aft_ls_elec       | Indicator that the project was proposed after the most recent national election.              |\\n| project_aft_ls_elec_1yr   | Indicator that the project was proposed within 1 year after the national election.            |\\n| project_aft_ls_elec_2yr   | Indicator that the project was proposed within 2 years after the national election.           |\\n| mp_aligned                | Indicator that the assembly constituency’s MLA belongs to the same party as the MP at that time. |\\n| forcing                   | Vote margin share of the MP’s party’s candidate in the most recent state assembly election for the matched assembly constituency (positive if that candidate won). |\\n| forcing_sq                | Square of forcing.                                                                            |\\n| forcing_cub               | Cube of forcing.                                                                              |\\n| forcing_qua               | Fourth power of forcing.                                                                      |\\n| forcing_aligned           | Product of forcing and mp_aligned.                                                            |\\n| forcing_sq_aligned        | Product of forcing_sq and mp_aligned.                                                         |\\n| forcing_cub_aligned       | Product of forcing_cub and mp_aligned.                                                        |\\n| forcing_qua_aligned       | Product of forcing_qua and mp_aligned.                                                        |\\n| project_expenditure       | Amount sanctioned for the project in lakh rupees (INR 100,000 units).                         |\\n| allot_increase            | Indicator that the project was proposed after the 2012 increase in MPLADS annual allotment.   |\\n| urban                     | Indicator that the project is located in an urban area.                                       |\\n| multiple                  | Indicator that the project benefits multiple villages/towns.                                  |\\n| indiv_benefit             | Indicator that the project description specifies a benefit to a named individual household.   |\\n| mp_state_ruling           | Indicator that the MP’s party was the ruling party in the state government at that time.      |\\n| incomplete                | Indicator that the project was ongoing/discontinued/not yet started at the time of data scrape. |\\n| incomplete2               | Alternative incompleteness coding that excludes records with missing status.                  |\\n| road                      | Indicator that the project is classified as road/pathway/bridge.                              |\\n| timetosanction            | Number of days between proposal receipt and sanction by the district authority.               |\\n| complete                  | Indicator that the project was reported complete at the time of data scrape.                  |\\n| urban_perc_ac             | Share of the assembly constituency population living in urban areas (Census).                 |\\n| scst_perc_ac              | Share of Scheduled Castes/Scheduled Tribes population in the assembly constituency (Census).  |\\n| lit_perc_ac               | Literacy rate of the assembly constituency (Census).                                          |\\n| aglb_perc_ac              | Share of agricultural laborers in the assembly constituency (Census).                         |\\n| party_same                | Indicator that the MP and the MLA are from the same party.                                    |\\n| mp_aligned_sameparty      | Same-party alignment check variable (duplicate alignment flag).                               |\\n| party_turnover_previous   | Indicator that the party holding the assembly seat changed from the previous state election.  |\\n| cand_new                  | Indicator that the current MLA is a newcomer (not previously in office in that seat).         |\\n| mp_aligned_candnew        | Indicator that the MLA is both a newcomer and from the MP’s party.                            |\\n| regional_party            | Indicator that the MLA’s party is a regional (non-national) party.                            |\\n| safe                      | -                                                                                             |\\n| monthscat                 | -                                                                                             |\\n| complete_mean             | -                                                                                             |\\n| mean_indivbenefit         | -                                                                                             |\\n\\nData Description: \\nThis dataset contains project-level records from India’s Member of Parliament Local Area Development Scheme (MPLADS) for the period spanning the 13th–15th Lok Sabhas (approximately 1999–2014). Project details were scraped from the MPLADS Online Works Monitoring System, where district authorities upload information on sanctioned works. Each project was georeferenced by matching the listed village cluster or urban ward to state assembly constituency boundaries using GIS. The file integrates project attributes (costs, sector, location, status), MP information (name, party, parliamentary term), and time stamps, and it augments projects with the timing of nearby state and national elections.\\n\\nElection-year information and party labels for state legislators were compiled from official election data to create calendar-based indicators that situate each project relative to recent elections. Assembly-constituency demographic measures (urban share, SC/ST share, literacy, and agricultural labor share) were merged from Census sources. The data focus on seven northern Indian states (Rajasthan, Madhya Pradesh, Uttar Pradesh, Bihar, Chhattisgarh, Uttarakhand, and Jharkhand) and were assembled to study patterns in how MPs deploy local development funds across space and political contexts, with special attention to interactions between national and state-level actors in the delivery of public works.\",\n \"columns\": {\n  \"Unnamed: 0\": \"int64\",\n  \"st_name\": \"str\",\n  \"lsrs\": \"str\",\n  \"constituency\": \"str\",\n  \"mp\": \"str\",\n  \"blockurban\": \"str\",\n  \"costsanctionedbydistrict\": \"float64\",\n  \"gp_missing\": \"int64\",\n  \"matched\": \"int64\",\n  \"ac_name_GIS\": \"str\",\n  \"elecyear_missing\": \"int64\",\n  \"project_id\": \"int64\",\n  \"windiffsh_pc\": \"float64\",\n  \"party_mp\": \"str\",\n  \"project_year\": \"int64\",\n  \"electerm\": \"float64\",\n  \"windiffsh_l\": \"float64\",\n  \"project_bef_elec\": \"float64\",\n  \"project_bef_elec_1yr\": \"int64\",\n  \"project_bef_elec_2yr\": \"int64\",\n  \"project_bef_elec_3yr\": \"int64\",\n  \"project_aft_elec\": \"int64\",\n  \"project_aft_elec_1yr\": \"int64\",\n  \"project_aft_elec_2yr\": \"int64\",\n  \"project_bef_ls_elec\": \"float64\",\n  \"project_bef_ls_elec_1yr\": \"int64\",\n  \"project_bef_ls_elec_2yr\": \"int64\",\n  \"project_bef_ls_elec_3yr\": \"int64\",\n  \"project_aft_ls_elec\": \"int64\",\n  \"project_aft_ls_elec_1yr\": \"int64\",\n  \"project_aft_ls_elec_2yr\": \"int64\",\n  \"mp_aligned\": \"int64\",\n  \"forcing\": \"float64\",\n  \"forcing_sq\": \"float64\",\n  \"forcing_cub\": \"float64\",\n  \"forcing_qua\": \"float64\",\n  \"forcing_aligned\": \"float64\",\n  \"forcing_sq_aligned\": \"float64\",\n  \"forcing_cub_aligned\": \"float64\",\n  \"forcing_qua_aligned\": \"float64\",\n  \"project_expenditure\": \"float64\",\n  \"allot_increase\": \"int64\",\n  \"urban\": \"int64\",\n  \"multiple\": \"int64\",\n  \"indiv_benefit\": \"int64\",\n  \"mp_state_ruling\": \"int64\",\n  \"incomplete\": \"int64\",\n  \"incomplete2\": \"float64\",\n  \"road\": \"int64\",\n  \"timetosanction\": \"float64\",\n  \"complete\": \"float64\",\n  \"urban_perc_ac\": \"float64\",\n  \"scst_perc_ac\": \"float64\",\n  \"lit_perc_ac\": \"float64\",\n  \"aglb_perc_ac\": \"float64\",\n  \"party_same\": \"float64\",\n  \"mp_aligned_sameparty\": \"float64\",\n  \"party_turnover_previous\": \"float64\",\n  \"cand_new\": \"float64\",\n  \"mp_aligned_candnew\": \"float64\",\n  \"regional_party\": \"float64\",\n  \"safe\": \"int64\",\n  \"monthscat\": \"int64\",\n  \"complete_mean\": \"float64\",\n  \"mean_indivbenefit\": \"float64\"\n }\n}\n\n# Question\nWhat is the average causal effect, at the alignment threshold, of an MLA being from the MP's party on per-project MPLADS expenditure for projects proposed within two years after a state election?","response":"submit_answer({\"answer\": \"Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.\", \"figure_refs\": [], \"caveats\": []})","tokens_in":0,"tokens_out":0,"meta":{"turn_call_id":"call_9ed48283","text":"","tool_calls":[{"vendor_id":"baseline_answer","llm_name":"submit_answer","tool_id":null,"args":{"answer":"Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.","figure_refs":[],"caveats":[]}}],"request":{"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"70bd24fbe25e781f5cc62daaeea31930ac269a0c11cf527a0e700ae2b4ab83e4","tools_ref":"52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b","contents_refs":[],"messages_refs":["b07859119e69142736958bbcc87912e9b719120494145e6d98b45716f404fc24"],"config":{}},"attempts":[],"response_id":null,"finish_reason":"tool_use","model_reported":"rules-1","usage":{"input":0,"output":0,"thoughts":0,"cached":0},"thoughts":null,"vendor":false,"wall_ms":0.950958114117384}}
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