{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"ds_0040\",\n \"rows\": 1289,\n \"description\": \"| Variable Name | Description |\\n|---------------|-------------|\\n| (Unnamed) | Leading CSV observation index / row identifier imported with the file (simple sequential identifier for each row). |\\n| statea | Numeric country identifier used to label each country observation in the panel (author/internal country code). |\\n| log_HRVOTE | Natural logarithm of HRVOTE, a constructed measure of foreign-policy voting similarity/convergence (higher values indicate greater alignment as operationalized in the study). |\\n| log_tot_trade | Natural logarithm of total bilateral trade (exports + imports) between China and the country in a given year (trade volume). |\\n| statea_trade_gdp100 | Bilateral trade with China expressed as a percentage of the country\u2019s GDP (scaled by 100). |\\n| Joint_Dem_Dum | Binary indicator (0/1) denoting whether the dyad is jointly classified as democracies in that year (1 = both democracies, 0 = otherwise). |\\n| log_cinc | Natural logarithm of the country\u2019s Composite Index of National Capability (CINC) \u2014 a standard measure of material national capabilities. |\\n| log_tot_ustrade | Natural logarithm of total bilateral trade between the country and the United States for the given year. |\\n| us_aid100 | Amount of U.S. bilateral aid received by the country in that year, scaled by a factor of 100 (as provided in the replication dataset). |\\n| dummy2004 | Indicator variable equal to 1 for observations from the year 2004 and 0 otherwise (year-specific flag). |\\n| pts_score | Numeric PTS score included by the authors to capture a policy/preference-related index (operationalization and scale are described in the paper). |\\n| lag_log_energ_prod | One-period lag of the natural logarithm of the country\u2019s energy production (e.g., national oil/energy output in the prior year). |\\n\\nData Description: This is a country-year panel assembled for the study period referenced in the paper (1992\u20132006) that combines bilateral economic statistics and country-level indicators for countries in Africa and Latin America. The dataset merges logged trade flows with measures derived from diplomatic behavior, state capability indices, trade shares relative to GDP, regime-type indicators, U.S. trade and aid flows, and lagged energy-production figures; many variables are log-transformed or scaled for comparability. Source material derives from standard international datasets and author-constructed series (trade statistics, capability indexes, voting/preference measures, aid records and national energy statistics), and the provided file has been pre-processed to a country-year format with the identifiers and derived variables noted above.\\n\",\n \"columns\": {\n  \"statea\": \"float64\",\n  \"log_HRVOTE\": \"float64\",\n  \"log_tot_trade\": \"float64\",\n  \"statea_trade_gdp100\": \"float64\",\n  \"Joint_Dem_Dum\": \"float64\",\n  \"log_cinc\": \"float64\",\n  \"log_tot_ustrade\": \"float64\",\n  \"us_aid100\": \"float64\",\n  \"dummy2004\": \"float64\",\n  \"pts_score\": \"float64\",\n  \"lag_log_energ_prod\": \"float64\"\n }\n}\n{\n \"id\": \"ref_iv\",\n \"rows\": 592,\n \"description\": \"Complete rows of the script's columns, with state dummies\",\n \"columns\": {\n  \"log_HRVOTE\": \"float64\",\n  \"log_tot_trade\": \"float64\",\n  \"lag_log_energ_prod\": \"float64\",\n  \"log_cinc\": \"float64\",\n  \"us_aid100\": \"float64\",\n  \"log_tot_ustrade\": \"float64\",\n  \"Joint_Dem_Dum\": \"float64\",\n  \"pts_score\": \"float64\",\n  \"dummy2004\": \"float64\",\n  \"statea\": \"float64\",\n  \"statea_42.0\": \"int64\",\n  \"statea_51.0\": \"int64\",\n  \"statea_52.0\": \"int64\",\n  \"statea_70.0\": \"int64\",\n  \"statea_90.0\": \"int64\",\n  \"statea_91.0\": \"int64\",\n  \"statea_92.0\": \"int64\",\n  \"statea_93.0\": \"int64\",\n  \"statea_94.0\": \"int64\",\n  \"statea_95.0\": \"int64\",\n  \"statea_100.0\": \"int64\",\n  \"statea_101.0\": \"int64\",\n  \"statea_130.0\": \"int64\",\n  \"statea_135.0\": \"int64\",\n  \"statea_140.0\": \"int64\",\n  \"statea_145.0\": \"int64\",\n  \"statea_150.0\": \"int64\",\n  \"statea_155.0\": \"int64\",\n  \"statea_160.0\": \"int64\",\n  \"statea_165.0\": \"int64\",\n  \"statea_433.0\": \"int64\",\n  \"statea_434.0\": \"int64\",\n  \"statea_437.0\": \"int64\",\n  \"statea_452.0\": \"int64\",\n  \"statea_461.0\": \"int64\",\n  \"statea_471.0\": \"int64\",\n  \"statea_475.0\": \"int64\",\n  \"statea_481.0\": \"int64\",\n  \"statea_484.0\": \"int64\",\n  \"statea_490.0\": \"int64\",\n  \"statea_501.0\": \"int64\",\n  \"statea_510.0\": \"int64\",\n  \"statea_551.0\": \"int64\",\n  \"statea_560.0\": \"int64\",\n  \"statea_571.0\": \"int64\",\n  \"statea_600.0\": \"int64\",\n  \"statea_615.0\": \"int64\",\n  \"statea_616.0\": \"int64\",\n  \"statea_620.0\": \"int64\",\n  \"statea_625.0\": \"int64\",\n  \"statea_651.0\": \"int64\"\n }\n}"}