{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"conley_inference_with_merit\",\n \"rows\": 42161,\n \"description\": \"Individual-level U.S. Current Population Survey (CPS) microdata pooled across states and years (late 1980s-2000). Each row is a person-year observation with demographics plus state and year identifiers suitable for fixed-effects analysis. The sample spans all 50 states plus DC.\\n\\nVariables:\\ncoll: Whether the person is enrolled in college (1 = yes, 0 = no)\\nmerit: Statewide merit-aid program in effect in that state-year (1 = yes, 0 = no)\\nmale: Respondent's gender (1 = male, 0 = female)\\nblack: Race indicator (1 = Black/African American, 0 = otherwise)\\nasian: Race indicator (1 = Asian, 0 = otherwise)\\nyear: CPS survey year (e.g., 1989-2000)\\nstate: Numeric CPS state code identifying the respondent's state (includes DC)\\nchst: \\\"\\\"Changer state\\\"\\\" flag (1 = state that adopts a merit program during the sample window, 0 = otherwise)\",\n \"columns\": {\n  \"coll\": \"int64\",\n  \"merit\": \"int64\",\n  \"male\": \"int64\",\n  \"black\": \"int64\",\n  \"asian\": \"int64\",\n  \"year\": \"int64\",\n  \"state\": \"int64\",\n  \"chst\": \"int64\"\n }\n}"}