{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"zoorob_privatization_va\",\n \"rows\": 95,\n \"description\": \"This dataset aims to study the impact of privatizing jail medical services on healthcare quality using statistics associated with U.S. jails from 2008-2019. The dataset is structured at the jail-year level and links treatment timing and vendor status to a per-inmate-day healthcare measure, with an indicator for coverage in an external Reuters dataset.\\n\\nVariables include:\\nJail: Unique identifier for the jail or jail system, stable across years\\nRelative_Treated: Event-time variable indicating years relative to treatment onset for treated jails; used to construct leads and lags in event-study specifications and typically undefined for never-treated units\\nyear: Calendar year of observation from 2008 to 2019\\nfirst.treated: The first year in which the jail contracts with a private medical provider; for never-treated units this is missing or set to a non-applicable value\\nIn_Reuters_Data: Indicator equal to 1 if the jail can be linked to the Reuters investigative dataset on jail healthcare providers, and 0 otherwise\\nContract_Medical: Indicator equal to 1 if medical services are provided by a private contractor in that jail-year, and 0 if services are publicly provided\\nMed_per_inmateday: Primary outcome measuring healthcare quantity or quality per inmate-day; this is a rate normalized by the inmate population and exposure time (e.g., clinic visits, sick-call responses, adverse events, or expenditures per inmate-day, depending on the specific operational definition)\",\n \"columns\": {\n  \"Jail\": \"str\",\n  \"Relative_Treated\": \"int64\",\n  \"year\": \"int64\",\n  \"first.treated\": \"int64\",\n  \"In_Reuters_Data\": \"int64\",\n  \"Contract_Medical\": \"str\",\n  \"Med_per_inmateday\": \"float64\"\n }\n}"}