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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. 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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 Write numbers as the tools stated them; do not quote rule-of-thumb thresholds as numbers.\n\n# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"ds_0015\",\n \"rows\": 22971,\n \"description\": \"| Variable Name | Description |\\n| --- | --- |\\n| bfs | Swiss Federal Statistical Office (BFS) municipality code: a stable numeric identifier for each municipality in the panel. |\\n| year | Calendar year of the observation (1991–2009). Institutional status is referenced as of January 1 of the given year, and annual rates are computed for the same year. |\\n| nat_rate_ord | Ordinary naturalization rate (percent). Computed as the number of ordinary naturalizations recorded during the year divided by the stock of foreign residents who met statutory eligibility at the start of the year in the same municipality, multiplied by 100. Ordinary naturalizations refer to the standard pathway (as opposed to federally handled “facilitated” cases). |\\n| indirect | Local decision procedure in place on January 1: 1 if applications were decided by the elected municipal council (representative/indirect democracy); 0 if applications were decided by citizens in a local vote (direct democracy). |\\n\\nDataset Context:\\nThis dataset is an annual municipality–year panel for Switzerland that spans a period of institutional change in how local authorities decide on citizenship applications. Switzerland’s “triple citizenship” system assigns a central role to municipalities in evaluating and deciding ordinary naturalization requests. During the 1990s and 2000s, municipalities used different decision procedures: in some, citizens voted on applications (often at a citizens’ assembly and, historically in a few places, by ballot); in others, elected municipal councils rendered the decisions. A series of Swiss Federal Court rulings in 2003–2005 curtailed secret-ballot referendums for naturalizations and required municipalities to provide formal justifications for rejections. Several cantons subsequently updated their laws, and many municipalities revised or formalized their procedures, frequently shifting decision authority to municipal councils. The indicator in this file captures, for each municipality and year, which procedure was in force as of January 1.\\n\\nThe panel combines two types of information. First, administrative registers from the Swiss Federal Statistical Office (PETRA: Foreign Population Structure and Migration Statistics) are used to derive annual ordinary naturalization rates. These rates are constructed as ordinary naturalizations completed within a year divided by the number of foreign residents who met the legal eligibility criteria at the start of that year, providing a comparable percentage measure across municipalities and over time. Second, the coding of local decision procedures relies on a nationwide survey of municipal head secretaries and systematic compilation of cantonal regulations and court decisions. The measurement convention aligns the institutional status to January 1 to enhance comparability across municipalities, recognizing that formal switches may occur during a calendar year.\\n\\nOrdinary naturalizations represent the standard route to citizenship and, in the study period, typically occurred after lengthy processing that could extend several years from initial application to final local vote. Facilitated naturalizations—handled centrally under federal law (for example, for certain spouses of Swiss citizens)—are not included in the numerator of the ordinary naturalization rate. The resulting dataset provides a consistent view of local institutions and annual naturalization activity across more than a decade and a half, covering the pre- and post-reform environment in which many municipalities updated their decision-making arrangements.\",\n \"columns\": {\n  \"bfs\": \"float64\",\n  \"year\": \"float64\",\n  \"nat_rate_ord\": \"float64\",\n  \"indirect\": \"float64\"\n }\n}\n{\n \"id\": \"ref_first\",\n \"rows\": 797,\n \"description\": \"Each municipality's first year with indirect == 1 (sw)\",\n \"columns\": {\n  \"bfs\": \"float64\",\n  \"sw\": \"float64\"\n }\n}\n{\n \"id\": \"ref_panel\",\n \"rows\": 1514,\n \"description\": \"Municipality rows of 2005 and 2007: first treated in 2006, or not treated by 2007 (incl. never)\",\n \"columns\": {\n  \"bfs\": \"float64\",\n  \"year\": \"float64\",\n  \"nat_rate_ord\": \"float64\",\n  \"indirect\": \"float64\",\n  \"sw\": \"float64\",\n  \"nyears\": \"int64\",\n  \"group_treated\": \"float64\",\n  \"post\": \"int64\",\n  \"g_post\": \"float64\"\n }\n}\n{\n \"id\": \"ref_years\",\n \"rows\": 1209,\n \"description\": \"How many of 2005 and 2007 each municipality is observed in\",\n \"columns\": {\n  \"bfs\": \"float64\",\n  \"nyears\": \"int64\"\n }\n}\n\n# Question\nAmong municipalities that switched to council decision-making in 2006, how large was the change in the ordinary naturalization rate from 2005 to 2007 compared with municipalities still using citizen referendums in 2007?","response":"sm.OLS(y, add_constant([group_treated, post, g_post])).fit(cov_type='cluster', groups=bfs) (CR1 errors with statsmodels' default G/(G-1)·(N-1)/(N-K) correction)\ninfer__ols({\"dataset\": \"ref_panel\", \"y\": \"nat_rate_ord\", \"x\": [\"g_post\"], \"controls\": [\"group_treated\", \"post\"], \"cluster\": \"bfs\"})","tokens_in":0,"tokens_out":0,"meta":{"turn_call_id":"call_d6378ff1","text":"sm.OLS(y, add_constant([group_treated, post, g_post])).fit(cov_type='cluster', groups=bfs) (CR1 errors with statsmodels' default G/(G-1)·(N-1)/(N-K) correction)","tool_calls":[{"vendor_id":"script_1","llm_name":"infer__ols","tool_id":"infer.ols","args":{"dataset":"ref_panel","y":"nat_rate_ord","x":["g_post"],"controls":["group_treated","post"],"cluster":"bfs"}}],"request":{"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"3b5fe48b1713a328969a28f057b93405c4810be31bb4a6c63fe1d7e367b02474","tools_ref":"52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b","contents_refs":[],"messages_refs":["b6c7a90e46afd6f8ea8b3fa96a417cd26353f597ad36201b299124f38366dbe1"],"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":0.522624934092164}}
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