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{"call_id":"call_979a3a6f","run_id":"20261015T170050Z-suite-crb_papers-scripted-8b13b2/crb_papers.q063/e1a1","step":"analysis","kind":"llm","name":"llm.analyst.scripted","version":"","code_version":"62cdbe0860ad","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":"2026-10-15T17:00:54.492420Z","duration_ms":0.0,"error":null,"decided_by":"model","rationale":"","cached":false,"informed_by":[],"model":"reference","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_0033\",\n \"rows\": 1792,\n \"description\": \"| Variable Name | Description |\\n|---------------|-------------|\\n| year | Reference calendar year t for the country–year record; the released extract has reference years 1987–2006. |\\n| ccode | Numeric country identifier (standard country code used to identify panel units). |\\n| new_empinx | Annual CIRI \\\"Human Empowerment\\\" index (composite civil and political rights indicator) for the country–year. |\\n| polity2 | Polity IV combined regime score for the country–year (standard polity measure of regime characteristics). |\\n| EV | Natural logarithm of one plus net EU/European Community official development assistance in year t−1, measured in millions of constant 1995 US dollars. Negative net amounts were set to zero before the logarithmic transformation. |\\n| l2CPcol2 | Equals 1 when the recipient country was a former colony of the EU member holding the Council presidency during July–December of year t−2; otherwise 0. |\\n| covihme_ayem | Average years of educational attainment (lagged educational-attainment measure, source noted in paper). |\\n| covihme_ayemF | Equals 1 when covihme_ayem represents a missing value coded −99, and 0 otherwise. |\\n| covwdi_exp | Exports (World Bank WDI series, lagged; often logged/transformed in the replication). |\\n| covwdi_expF | Missingness flag / indicator for covwdi_exp. |\\n| covwdi_fdi | Foreign direct investment (WDI series, lagged; inward FDI measure). |\\n| covwdi_fdiF | Missingness flag / indicator for covwdi_fdi. |\\n| covwdi_imp | Imports (World Bank WDI series, lagged; often logged/transformed). |\\n| covwdi_impF | Missingness flag / indicator for covwdi_imp. |\\n| covwvs_rel | Lagged religiosity measure included in the source socioeconomic compilation; measured in year t−2, with −99 for missing values. |\\n| covwvs_relF | Missingness flag / indicator for covwvs_rel. |\\n| coviNY_GDP_PETR_RT_ZS | Petroleum/oil rents as percent of GDP (World Bank indicator NY.GDP.PETR.RT.ZS), lagged. |\\n| coviNY_GDP_PETR_RT_ZSF | Missingness flag / indicator for coviNY_GDP_PETR_RT_ZS. |\\n| covdemregion | Regional democracy context: number (or summary count) of democracies in the same region (lagged regional-democracy measure). |\\n| covdemregionF | Missingness flag / indicator for covdemregion. |\\n| covloggdpC | Logged GDP per capita measured in year t−2; missing values are represented by −99 and flagged by covloggdpCF. |\\n| covloggdpCF | Missingness flag / indicator for covloggdpC. |\\n| covloggdp | Logged GDP measured in year t−2; missing values are represented by −99 and flagged by covloggdpF. |\\n| covloggdpF | Missingness flag / indicator for covloggdp. |\\n| _Iyear_1963 … _Iyear_2011 | Binary year-indicator columns retained from the wider source panel. Each denotes the corresponding calendar year; columns for years outside this extract are zero. |\\n| _Iccode_40 … _Iccode_990 | Binary country-indicator columns retained from the wider source panel; each denotes the corresponding ccode. |\\n| new_empinxavg | Arithmetic average of the CIRI Human Empowerment index in years t, t+1, t+2, and t+3; the index ranges from 0 to 14. |\\n| polity2avg | Arithmetic average of the Polity IV combined score over years t, t+1, t+2, and t+3. |\\n\\nData Description: Each observation is an aid-recipient country in reference year t. The released extract contains 1,792 observations for 115 countries, with reference years 1987–2006. It combines EU/European Community aid records, historical colonial links, Council-presidency calendars, the CIRI Human Empowerment index, Polity IV regime scores, and socioeconomic measures from World Development Indicators, religiosity and education-attainment series, and regional democracy counts.\\n\\nThe Council presidency rotates among member governments for six-month terms under a prearranged schedule. During July–December, the presidency participates in setting the following year's aid budget. Historical colonial links connect recipient countries to particular European governments. The European Commission subsequently administers disbursement of the allocated aid; an aid allocation is distinct from the amount actually disbursed. l2CPcol2 refers to the second-half presidency in t−2, EV to aid in t−1, and new_empinxavg to outcomes over t through t+3.\\n\\nSubstantive variables prefixed cov are measured two years before the reference year. Missing values were replaced with the placeholder −99; associated variables ending in F equal 1 for those missing values and 0 otherwise. The −99 entries are not measured socioeconomic values. The file also retains binary year and country indicators and the four-year outcome averages.\\n\",\n \"columns\": {\n  \"year\": \"float64\",\n  \"ccode\": \"float64\",\n  \"new_empinx\": \"float64\",\n  \"polity2\": \"float64\",\n  \"EV\": \"float64\",\n  \"l2CPcol2\": \"float64\",\n  \"covihme_ayem\": \"float64\",\n  \"covihme_ayemF\": \"float64\",\n  \"covwdi_exp\": \"float64\",\n  \"covwdi_expF\": \"float64\",\n  \"covwdi_fdi\": \"float64\",\n  \"covwdi_fdiF\": \"float64\",\n  \"covwdi_imp\": \"float64\",\n  \"covwdi_impF\": \"float64\",\n  \"covwvs_rel\": \"float64\",\n  \"covwvs_relF\": \"float64\",\n  \"coviNY_GDP_PETR_RT_ZS\": \"float64\",\n  \"coviNY_GDP_PETR_RT_ZSF\": \"float64\",\n  \"covdemregion\": \"float64\",\n  \"covdemregionF\": \"float64\",\n  \"covloggdpC\": \"float64\",\n  \"covloggdpCF\": \"float64\",\n  \"covloggdp\": \"float64\",\n  \"covloggdpF\": \"float64\",\n  \"_Iyear_1963\": \"float64\",\n  \"_Iyear_1964\": \"float64\",\n  \"_Iyear_1965\": \"float64\",\n  \"_Iyear_1966\": \"float64\",\n  \"_Iyear_1967\": \"float64\",\n  \"_Iyear_1968\": \"float64\",\n  \"_Iyear_1969\": \"float64\",\n  \"_Iyear_1970\": \"float64\",\n  \"_Iyear_1971\": \"float64\",\n  \"_Iyear_1972\": \"float64\",\n  \"_Iyear_1973\": \"float64\",\n  \"_Iyear_1974\": \"float64\",\n  \"_Iyear_1975\": \"float64\",\n  \"_Iyear_1976\": \"float64\",\n  \"_Iyear_1977\": \"float64\",\n  \"_Iyear_1978\": \"float64\",\n  \"_Iyear_1979\": \"float64\",\n  \"_Iyear_1980\": \"float64\",\n  \"_Iyear_1981\": \"float64\",\n  \"_Iyear_1982\": \"float64\",\n  \"_Iyear_1983\": \"float64\",\n  \"_Iyear_1984\": \"float64\",\n  \"_Iyear_1985\": \"float64\",\n  \"_Iyear_1986\": \"float64\",\n  \"_Iyear_1987\": \"float64\",\n  \"_Iyear_1988\": \"float64\",\n  \"_Iyear_1989\": \"float64\",\n  \"_Iyear_1990\": \"float64\",\n  \"_Iyear_1991\": \"float64\",\n  \"_Iyear_1992\": \"float64\",\n  \"_Iyear_1993\": \"float64\",\n  \"_Iyear_1994\": \"float64\",\n  \"_Iyear_1995\": \"float64\",\n  \"_Iyear_1996\": \"float64\",\n  \"_Iyear_1997\": \"float64\",\n  \"_Iyear_1998\": \"float64\",\n  \"_Iyear_1999\": \"float64\",\n  \"_Iyear_2000\": \"float64\",\n  \"_Iyear_2001\": \"float64\",\n  \"_Iyear_2002\": \"float64\",\n  \"_Iyear_2003\": \"float64\",\n  \"_Iyear_2004\": \"float64\",\n  \"_Iyear_2005\": \"float64\",\n  \"_Iyear_2006\": \"float64\",\n  \"_Iyear_2007\": \"float64\",\n  \"_Iyear_2008\": \"float64\",\n  \"_Iyear_2009\": \"float64\",\n  \"_Iyear_2010\": \"float64\",\n  \"_Iyear_2011\": \"float64\",\n  \"_Iccode_40\": \"float64\",\n  \"_Iccode_41\": \"float64\",\n  \"_Iccode_42\": \"float64\",\n  \"_Iccode_51\": \"float64\",\n  \"_Iccode_52\": \"float64\",\n  \"_Iccode_53\": \"float64\",\n  \"_Iccode_54\": \"float64\",\n  \"_Iccode_55\": \"float64\",\n  \"_Iccode_56\": \"float64\",\n  \"_Iccode_57\": \"float64\",\n  \"_Iccode_58\": \"float64\",\n  \"_Iccode_60\": \"float64\",\n  \"_Iccode_70\": \"float64\",\n  \"_Iccode_80\": \"float64\",\n  \"_Iccode_90\": \"float64\",\n  \"_Iccode_91\": \"float64\",\n  \"_Iccode_92\": \"float64\",\n  \"_Iccode_93\": \"float64\",\n  \"_Iccode_94\": \"float64\",\n  \"_Iccode_95\": \"float64\",\n  \"_Iccode_100\": \"float64\",\n  \"_Iccode_101\": \"float64\",\n  \"_Iccode_110\": \"float64\",\n  \"_Iccode_115\": \"float64\",\n  \"_Iccode_130\": \"float64\",\n  \"_Iccode_135\": \"float64\",\n  \"_Iccode_140\": \"float64\",\n  \"_Iccode_145\": \"float64\",\n  \"_Iccode_150\": \"float64\",\n  \"_Iccode_155\": \"float64\",\n  \"_Iccode_160\": \"float64\",\n  \"_Iccode_165\": \"float64\",\n  \"_Iccode_352\": \"float64\",\n  \"_Iccode_402\": \"float64\",\n  \"_Iccode_403\": \"float64\",\n  \"_Iccode_404\": \"float64\",\n  \"_Iccode_411\": \"float64\",\n  \"_Iccode_420\": \"float64\",\n  \"_Iccode_432\": \"float64\",\n  \"_Iccode_433\": \"float64\",\n  \"_Iccode_434\": \"float64\",\n  \"_Iccode_435\": \"float64\",\n  \"_Iccode_436\": \"float64\",\n  \"_Iccode_437\": \"float64\",\n  \"_Iccode_438\": \"float64\",\n  \"_Iccode_439\": \"float64\",\n  \"_Iccode_451\": \"float64\",\n  \"_Iccode_452\": \"float64\",\n  \"_Iccode_461\": \"float64\",\n  \"_Iccode_471\": \"float64\",\n  \"_Iccode_475\": \"float64\",\n  \"_Iccode_481\": \"float64\",\n  \"_Iccode_482\": \"float64\",\n  \"_Iccode_483\": \"float64\",\n  \"_Iccode_484\": \"float64\",\n  \"_Iccode_490\": \"float64\",\n  \"_Iccode_500\": \"float64\",\n  \"_Iccode_501\": \"float64\",\n  \"_Iccode_510\": \"float64\",\n  \"_Iccode_516\": \"float64\",\n  \"_Iccode_517\": \"float64\",\n  \"_Iccode_520\": \"float64\",\n  \"_Iccode_522\": \"float64\",\n  \"_Iccode_531\": \"float64\",\n  \"_Iccode_540\": \"float64\",\n  \"_Iccode_541\": \"float64\",\n  \"_Iccode_551\": \"float64\",\n  \"_Iccode_552\": \"float64\",\n  \"_Iccode_553\": \"float64\",\n  \"_Iccode_560\": \"float64\",\n  \"_Iccode_565\": \"float64\",\n  \"_Iccode_570\": \"float64\",\n  \"_Iccode_571\": \"float64\",\n  \"_Iccode_572\": \"float64\",\n  \"_Iccode_580\": \"float64\",\n  \"_Iccode_581\": \"float64\",\n  \"_Iccode_590\": \"float64\",\n  \"_Iccode_591\": \"float64\",\n  \"_Iccode_600\": \"float64\",\n  \"_Iccode_615\": \"float64\",\n  \"_Iccode_616\": \"float64\",\n  \"_Iccode_620\": \"float64\",\n  \"_Iccode_625\": \"float64\",\n  \"_Iccode_645\": \"float64\",\n  \"_Iccode_651\": \"float64\",\n  \"_Iccode_652\": \"float64\",\n  \"_Iccode_660\": \"float64\",\n  \"_Iccode_663\": \"float64\",\n  \"_Iccode_678\": \"float64\",\n  \"_Iccode_692\": \"float64\",\n  \"_Iccode_694\": \"float64\",\n  \"_Iccode_696\": \"float64\",\n  \"_Iccode_698\": \"float64\",\n  \"_Iccode_750\": \"float64\",\n  \"_Iccode_760\": \"float64\",\n  \"_Iccode_770\": \"float64\",\n  \"_Iccode_771\": \"float64\",\n  \"_Iccode_775\": \"float64\",\n  \"_Iccode_780\": \"float64\",\n  \"_Iccode_781\": \"float64\",\n  \"_Iccode_811\": \"float64\",\n  \"_Iccode_812\": \"float64\",\n  \"_Iccode_816\": \"float64\",\n  \"_Iccode_820\": \"float64\",\n  \"_Iccode_830\": \"float64\",\n  \"_Iccode_835\": \"float64\",\n  \"_Iccode_850\": \"float64\",\n  \"_Iccode_935\": \"float64\",\n  \"_Iccode_940\": \"float64\",\n  \"_Iccode_946\": \"float64\",\n  \"_Iccode_947\": \"float64\",\n  \"_Iccode_950\": \"float64\",\n  \"_Iccode_955\": \"float64\",\n  \"_Iccode_990\": \"float64\",\n  \"new_empinxavg\": \"float64\",\n  \"polity2avg\": \"float64\"\n }\n}\n{\n \"id\": \"ref_iv\",\n \"rows\": 1792,\n \"description\": \"Complete rows of the script's columns, with year and country dummies\",\n \"columns\": {\n  \"new_empinxavg\": \"float64\",\n  \"EV\": \"float64\",\n  \"l2CPcol2\": \"float64\",\n  \"year\": \"float64\",\n  \"ccode\": \"float64\",\n  \"covloggdp\": \"float64\",\n  \"covloggdpCF\": \"float64\",\n  \"covloggdpC\": \"float64\",\n  \"covdemregionF\": \"float64\",\n  \"covdemregion\": \"float64\",\n  \"coviNY_GDP_PETR_RT_ZSF\": \"float64\",\n  \"coviNY_GDP_PETR_RT_ZS\": \"float64\",\n  \"covwvs_relF\": \"float64\",\n  \"covwvs_rel\": \"float64\",\n  \"covwdi_imp\": \"float64\",\n  \"covwdi_fdiF\": \"float64\",\n  \"covwdi_fdi\": \"float64\",\n  \"covwdi_expF\": \"float64\",\n  \"covwdi_exp\": \"float64\",\n  \"covihme_ayemF\": \"float64\",\n  \"covihme_ayem\": \"float64\",\n  \"year_1988.0\": \"int64\",\n  \"year_1989.0\": \"int64\",\n  \"year_1990.0\": \"int64\",\n  \"year_1991.0\": \"int64\",\n  \"year_1992.0\": \"int64\",\n  \"year_1993.0\": \"int64\",\n  \"year_1994.0\": \"int64\",\n  \"year_1995.0\": \"int64\",\n  \"year_1996.0\": \"int64\",\n  \"year_1997.0\": \"int64\",\n  \"year_1998.0\": \"int64\",\n  \"year_1999.0\": \"int64\",\n  \"year_2000.0\": \"int64\",\n  \"year_2001.0\": \"int64\",\n  \"year_2002.0\": \"int64\",\n  \"year_2003.0\": \"int64\",\n  \"year_2004.0\": \"int64\",\n  \"year_2005.0\": \"int64\",\n  \"year_2006.0\": \"int64\",\n  \"ccode_40.0\": \"int64\",\n  \"ccode_41.0\": \"int64\",\n  \"ccode_42.0\": \"int64\",\n  \"ccode_51.0\": \"int64\",\n  \"ccode_52.0\": \"int64\",\n  \"ccode_53.0\": \"int64\",\n  \"ccode_54.0\": \"int64\",\n  \"ccode_55.0\": \"int64\",\n  \"ccode_56.0\": \"int64\",\n  \"ccode_57.0\": \"int64\",\n  \"ccode_58.0\": \"int64\",\n  \"ccode_60.0\": \"int64\",\n  \"ccode_70.0\": \"int64\",\n  \"ccode_80.0\": \"int64\",\n  \"ccode_90.0\": \"int64\",\n  \"ccode_91.0\": \"int64\",\n  \"ccode_92.0\": \"int64\",\n  \"ccode_93.0\": \"int64\",\n  \"ccode_94.0\": \"int64\",\n  \"ccode_95.0\": \"int64\",\n  \"ccode_100.0\": \"int64\",\n  \"ccode_101.0\": \"int64\",\n  \"ccode_110.0\": \"int64\",\n  \"ccode_115.0\": \"int64\",\n  \"ccode_130.0\": \"int64\",\n  \"ccode_135.0\": \"int64\",\n  \"ccode_140.0\": \"int64\",\n  \"ccode_145.0\": \"int64\",\n  \"ccode_150.0\": \"int64\",\n  \"ccode_155.0\": \"int64\",\n  \"ccode_160.0\": \"int64\",\n  \"ccode_165.0\": \"int64\",\n  \"ccode_352.0\": \"int64\",\n  \"ccode_402.0\": \"int64\",\n  \"ccode_403.0\": \"int64\",\n  \"ccode_404.0\": \"int64\",\n  \"ccode_411.0\": \"int64\",\n  \"ccode_420.0\": \"int64\",\n  \"ccode_432.0\": \"int64\",\n  \"ccode_433.0\": \"int64\",\n  \"ccode_434.0\": \"int64\",\n  \"ccode_435.0\": \"int64\",\n  \"ccode_436.0\": \"int64\",\n  \"ccode_437.0\": \"int64\",\n  \"ccode_438.0\": \"int64\",\n  \"ccode_439.0\": \"int64\",\n  \"ccode_451.0\": \"int64\",\n  \"ccode_452.0\": \"int64\",\n  \"ccode_461.0\": \"int64\",\n  \"ccode_471.0\": \"int64\",\n  \"ccode_475.0\": \"int64\",\n  \"ccode_481.0\": \"int64\",\n  \"ccode_482.0\": \"int64\",\n  \"ccode_483.0\": \"int64\",\n  \"ccode_484.0\": \"int64\",\n  \"ccode_490.0\": \"int64\",\n  \"ccode_500.0\": \"int64\",\n  \"ccode_501.0\": \"int64\",\n  \"ccode_510.0\": \"int64\",\n  \"ccode_516.0\": \"int64\",\n  \"ccode_517.0\": \"int64\",\n  \"ccode_520.0\": \"int64\",\n  \"ccode_522.0\": \"int64\",\n  \"ccode_531.0\": \"int64\",\n  \"ccode_540.0\": \"int64\",\n  \"ccode_541.0\": \"int64\",\n  \"ccode_551.0\": \"int64\",\n  \"ccode_552.0\": \"int64\",\n  \"ccode_553.0\": \"int64\",\n  \"ccode_560.0\": \"int64\",\n  \"ccode_565.0\": \"int64\",\n  \"ccode_570.0\": \"int64\",\n  \"ccode_571.0\": \"int64\",\n  \"ccode_572.0\": \"int64\",\n  \"ccode_580.0\": \"int64\",\n  \"ccode_581.0\": \"int64\",\n  \"ccode_590.0\": \"int64\",\n  \"ccode_591.0\": \"int64\",\n  \"ccode_600.0\": \"int64\",\n  \"ccode_615.0\": \"int64\",\n  \"ccode_616.0\": \"int64\",\n  \"ccode_620.0\": \"int64\",\n  \"ccode_625.0\": \"int64\",\n  \"ccode_645.0\": \"int64\",\n  \"ccode_651.0\": \"int64\",\n  \"ccode_652.0\": \"int64\",\n  \"ccode_660.0\": \"int64\",\n  \"ccode_663.0\": \"int64\",\n  \"ccode_678.0\": \"int64\",\n  \"ccode_692.0\": \"int64\",\n  \"ccode_694.0\": \"int64\",\n  \"ccode_696.0\": \"int64\",\n  \"ccode_698.0\": \"int64\",\n  \"ccode_750.0\": \"int64\",\n  \"ccode_760.0\": \"int64\",\n  \"ccode_770.0\": \"int64\",\n  \"ccode_771.0\": \"int64\",\n  \"ccode_775.0\": \"int64\",\n  \"ccode_780.0\": \"int64\",\n  \"ccode_781.0\": \"int64\",\n  \"ccode_811.0\": \"int64\",\n  \"ccode_812.0\": \"int64\",\n  \"ccode_816.0\": \"int64\",\n  \"ccode_820.0\": \"int64\",\n  \"ccode_830.0\": \"int64\",\n  \"ccode_835.0\": \"int64\",\n  \"ccode_850.0\": \"int64\",\n  \"ccode_935.0\": \"int64\",\n  \"ccode_940.0\": \"int64\",\n  \"ccode_946.0\": \"int64\",\n  \"ccode_947.0\": \"int64\",\n  \"ccode_950.0\": \"int64\",\n  \"ccode_955.0\": \"int64\",\n  \"ccode_990.0\": \"int64\"\n }\n}\n\n# Question\nWhat is the causal effect of a one log-unit increase in logged EU ODA (EV) in year t-1 on the CIRI Human Empowerment index averaged over years t through t+3 in the study population?","response":"IV2SLS(new_empinxavg, 1 + controls - covdemregionF + C(year) + C(ccode), EV, l2CPcol2); one of the two cluster dimensions\ninfer__iv_2sls({\"dataset\": \"ref_iv\", \"y\": \"new_empinxavg\", \"endog\": [\"EV\"], \"instruments\": [\"l2CPcol2\"], \"exog\": [\"covloggdp\", \"covloggdpCF\", \"covloggdpC\", \"covdemregion\", \"coviNY_GDP_PETR_RT_ZSF\", \"coviNY_GDP_PETR_RT_ZS\", \"covwvs_relF\", \"covwvs_rel\", \"covwdi_imp\", \"covwdi_fdiF\", \"covwdi_fdi\", \"covwdi_expF\", \"covwdi_exp\", \"covihme_ayemF\", \"covihme_ayem\", \"year_1988.0\", \"year_1989.0\", \"year_1990.0\", \"year_1991.0\", \"year_1992.0\", \"year_1993.0\", \"year_1994.0\", \"year_1995.0\", \"year_1996.0\", \"year_1997.0\", \"year_1998.0\", \"year_1999.0\", \"year_2000.0\", \"year_2001.0\", \"year_2002.0\", \"year_2003.0\", \"year_2004.0\", \"year_2005.0\", \"year_2006.0\", \"ccode_40.0\", \"ccode_41.0\", \"ccode_42.0\", \"ccode_51.0\", \"ccode_52.0\", \"ccode_53.0\", \"ccode_54.0\", \"ccode_55.0\", \"ccode_56.0\", \"ccode_57.0\", \"ccode_58.0\", \"ccode_60.0\", \"ccode_70.0\", \"ccode_80.0\", \"ccode_90.0\", \"ccode_91.0\", \"ccode_92.0\", \"ccode_93.0\", \"ccode_94.0\", \"ccode_95.0\", \"ccode_100.0\", \"ccode_101.0\", \"ccode_110.0\", \"ccode_115.0\", \"ccode_130.0\", \"ccode_135.0\", \"ccode_140.0\", \"ccode_145.0\", \"ccode_150.0\", \"ccode_155.0\", \"ccode_160.0\", \"ccode_165.0\", \"ccode_352.0\", \"ccode_402.0\", \"ccode_403.0\", \"ccode_404.0\", \"ccode_411.0\", \"ccode_420.0\", \"ccode_432.0\", \"ccode_433.0\", \"ccode_434.0\", \"ccode_435.0\", \"ccode_436.0\", \"ccode_437.0\", \"ccode_438.0\", \"ccode_439.0\", \"ccode_451.0\", \"ccode_452.0\", \"ccode_461.0\", \"ccode_471.0\", \"ccode_475.0\", \"ccode_481.0\", \"ccode_482.0\", \"ccode_483.0\", \"ccode_484.0\", \"ccode_490.0\", \"ccode_500.0\", \"ccode_501.0\", \"ccode_510.0\", \"ccode_516.0\", \"ccode_517.0\", \"ccode_520.0\", \"ccode_522.0\", \"ccode_531.0\", \"ccode_540.0\", \"ccode_541.0\", \"ccode_551.0\", \"ccode_552.0\", \"ccode_553.0\", \"ccode_560.0\", \"ccode_565.0\", \"ccode_570.0\", \"ccode_571.0\", \"ccode_572.0\", \"ccode_580.0\", \"ccode_581.0\", \"ccode_590.0\", \"ccode_591.0\", \"ccode_600.0\", \"ccode_615.0\", \"ccode_616.0\", \"ccode_620.0\", \"ccode_625.0\", \"ccode_645.0\", \"ccode_651.0\", \"ccode_652.0\", \"ccode_660.0\", \"ccode_663.0\", \"ccode_678.0\", \"ccode_692.0\", \"ccode_694.0\", \"ccode_696.0\", \"ccode_698.0\", \"ccode_750.0\", \"ccode_760.0\", \"ccode_770.0\", \"ccode_771.0\", \"ccode_775.0\", \"ccode_780.0\", \"ccode_781.0\", \"ccode_811.0\", \"ccode_812.0\", \"ccode_816.0\", \"ccode_820.0\", \"ccode_830.0\", \"ccode_835.0\", \"ccode_850.0\", \"ccode_935.0\", \"ccode_940.0\", \"ccode_946.0\", \"ccode_947.0\", \"ccode_950.0\", \"ccode_955.0\", \"ccode_990.0\"], \"cluster\": \"ccode\"})","tokens_in":0,"tokens_out":0,"meta":{"turn_call_id":"call_979a3a6f","text":"IV2SLS(new_empinxavg, 1 + controls - covdemregionF + C(year) + C(ccode), EV, l2CPcol2); one of the two cluster dimensions","tool_calls":[{"vendor_id":"script_1","llm_name":"infer__iv_2sls","tool_id":"infer.iv_2sls","args":{"dataset":"ref_iv","y":"new_empinxavg","endog":["EV"],"instruments":["l2CPcol2"],"exog":["covloggdp","covloggdpCF","covloggdpC","covdemregion","coviNY_GDP_PETR_RT_ZSF","coviNY_GDP_PETR_RT_ZS","covwvs_relF","covwvs_rel","covwdi_imp","covwdi_fdiF","covwdi_fdi","covwdi_expF","covwdi_exp","covihme_ayemF","covihme_ayem","year_1988.0","year_1989.0","year_1990.0","year_1991.0","year_1992.0","year_1993.0","year_1994.0","year_1995.0","year_1996.0","year_1997.0","year_1998.0","year_1999.0","year_2000.0","year_2001.0","year_2002.0","year_2003.0","year_2004.0","year_2005.0","year_2006.0","ccode_40.0","ccode_41.0","ccode_42.0","ccode_51.0","ccode_52.0","ccode_53.0","ccode_54.0","ccode_55.0","ccode_56.0","ccode_57.0","ccode_58.0","ccode_60.0","ccode_70.0","ccode_80.0","ccode_90.0","ccode_91.0","ccode_92.0","ccode_93.0","ccode_94.0","ccode_95.0","ccode_100.0","ccode_101.0","ccode_110.0","ccode_115.0","ccode_130.0","ccode_135.0","ccode_140.0","ccode_145.0","ccode_150.0","ccode_155.0","ccode_160.0","ccode_165.0","ccode_352.0","ccode_402.0","ccode_403.0","ccode_404.0","ccode_411.0","ccode_420.0","ccode_432.0","ccode_433.0","ccode_434.0","ccode_435.0","ccode_436.0","ccode_437.0","ccode_438.0","ccode_439.0","ccode_451.0","ccode_452.0","ccode_461.0","ccode_471.0","ccode_475.0","ccode_481.0","ccode_482.0","ccode_483.0","ccode_484.0","ccode_490.0","ccode_500.0","ccode_501.0","ccode_510.0","ccode_516.0","ccode_517.0","ccode_520.0","ccode_522.0","ccode_531.0","ccode_540.0","ccode_541.0","ccode_551.0","ccode_552.0","ccode_553.0","ccode_560.0","ccode_565.0","ccode_570.0","ccode_571.0","ccode_572.0","ccode_580.0","ccode_581.0","ccode_590.0","ccode_591.0","ccode_600.0","ccode_615.0","ccode_616.0","ccode_620.0","ccode_625.0","ccode_645.0","ccode_651.0","ccode_652.0","ccode_660.0","ccode_663.0","ccode_678.0","ccode_692.0","ccode_694.0","ccode_696.0","ccode_698.0","ccode_750.0","ccode_760.0","ccode_770.0","ccode_771.0","ccode_775.0","ccode_780.0","ccode_781.0","ccode_811.0","ccode_812.0","ccode_816.0","ccode_820.0","ccode_830.0","ccode_835.0","ccode_850.0","ccode_935.0","ccode_940.0","ccode_946.0","ccode_947.0","ccode_950.0","ccode_955.0","ccode_990.0"],"cluster":"ccode"}}],"request":{"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"0404e8c4423cd579ba2a70cec575f33b61fdadefb956c3b7a8ded6c7a946a80a","tools_ref":"52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b","contents_refs":[],"messages_refs":["66f3683f25538a1a02bc8605981827dd891bbbe7bb07de8c5186725ef46e1988"],"config":{}},"attempts":[],"response_id":null,"finish_reason":"tool_use","model_reported":"reference","usage":{"input":0,"output":0,"thoughts":0,"cached":0},"thoughts":null,"vendor":false,"wall_ms":0.7765840273350477}}
{"call_id":"call_537d2782","run_id":"20261015T170050Z-suite-crb_papers-scripted-8b13b2/crb_papers.q063/e1a1","step":"analysis","kind":"tool","name":"infer.iv_2sls","version":"0.1.0","code_version":"62cdbe0860ad","inputs":{"dataset":"ref_iv","y":"new_empinxavg","endog":["EV"],"instruments":["l2CPcol2"],"exog":["covloggdp","covloggdpCF","covloggdpC","covdemregion","coviNY_GDP_PETR_RT_ZSF","coviNY_GDP_PETR_RT_ZS","covwvs_relF","covwvs_rel","covwdi_imp","covwdi_fdiF","covwdi_fdi","covwdi_expF","covwdi_exp","covihme_ayemF","covihme_ayem","year_1988.0","year_1989.0","year_1990.0","year_1991.0","year_1992.0","year_1993.0","year_1994.0","year_1995.0","year_1996.0","year_1997.0","year_1998.0","year_1999.0","year_2000.0","year_2001.0","year_2002.0","year_2003.0","year_2004.0","year_2005.0","year_2006.0","ccode_40.0","ccode_41.0","ccode_42.0","ccode_51.0","ccode_52.0","ccode_53.0","ccode_54.0","ccode_55.0","ccode_56.0","ccode_57.0","ccode_58.0","ccode_60.0","ccode_70.0","ccode_80.0","ccode_90.0","ccode_91.0","ccode_92.0","ccode_93.0","ccode_94.0","ccode_95.0","ccode_100.0","ccode_101.0","ccode_110.0","ccode_115.0","ccode_130.0","ccode_135.0","ccode_140.0","ccode_145.0","ccode_150.0","ccode_155.0","ccode_160.0","ccode_165.0","ccode_352.0","ccode_402.0","ccode_403.0","ccode_404.0","ccode_411.0","ccode_420.0","ccode_432.0","ccode_433.0","ccode_434.0","ccode_435.0","ccode_436.0","ccode_437.0","ccode_438.0","ccode_439.0","ccode_451.0","ccode_452.0","ccode_461.0","ccode_471.0","ccode_475.0","ccode_481.0","ccode_482.0","ccode_483.0","ccode_484.0","ccode_490.0","ccode_500.0","ccode_501.0","ccode_510.0","ccode_516.0","ccode_517.0","ccode_520.0","ccode_522.0","ccode_531.0","ccode_540.0","ccode_541.0","ccode_551.0","ccode_552.0","ccode_553.0","ccode_560.0","ccode_565.0","ccode_570.0","ccode_571.0","ccode_572.0","ccode_580.0","ccode_581.0","ccode_590.0","ccode_591.0","ccode_600.0","ccode_615.0","ccode_616.0","ccode_620.0","ccode_625.0","ccode_645.0","ccode_651.0","ccode_652.0","ccode_660.0","ccode_663.0","ccode_678.0","ccode_692.0","ccode_694.0","ccode_696.0","ccode_698.0","ccode_750.0","ccode_760.0","ccode_770.0","ccode_771.0","ccode_775.0","ccode_780.0","ccode_781.0","ccode_811.0","ccode_812.0","ccode_816.0","ccode_820.0","ccode_830.0","ccode_835.0","ccode_850.0","ccode_935.0","ccode_940.0","ccode_946.0","ccode_947.0","ccode_950.0","ccode_955.0","ccode_990.0"],"cluster":"ccode","se":"HC1","subset":null,"level":0.95},"input_digest":"b190b48d1cda1684c7d58f4b306573550095f33e8e89503c418a9fd99bf01e97","dataset_digests":{"ref_iv":"b68d973c40321e6339055454fbd14970ab035474b27737334be32ca22faa6507"},"result":{"tool":"infer.iv_2sls","version":"0.1.0","call_id":"call_537d2782","status":"ok","reason":"","figures":[{"key":"coef.EV","value":1.7054492724946613,"unit":"","label":"2SLS effect of EV on new_empinxavg","se":1.0374078828418587,"ci_low":-0.34964775327450104,"ci_high":3.7605462982638236,"ci_level":0.95,"derivation":{"steps":[{"text_pt":"Com um instrumento e um regressor endógeno, o MQ2E é a razão entre o coeficiente de l2CPcol2 na forma reduzida (new_empinxavg sobre l2CPcol2 e os controles) e no primeiro estágio (EV sobre l2CPcol2 e os controles).","formula":"β = ρ / π","terms":[{"symbol":"ρ","value":0.2632281326165196,"unit":"","note":"forma reduzida"},{"symbol":"π","value":0.1543453310877607,"unit":"","note":"primeiro estágio"}],"result":1.7054492724946613,"unit":""},{"text_pt":"Erro-padrão robusto por conglomerado (CR1): a raiz da variância estimada do coeficiente.","formula":"ep = √V_jj","terms":[{"symbol":"V_jj","value":1.0762151153824275,"unit":"","note":"diagonal da matriz de covariância"}],"result":1.0374078828418587,"unit":""},{"text_pt":"Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 114 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