pub struct EventStudy {
pub n_pre: usize,
pub n_post: usize,
}Expand description
Event-study design for estimating dynamic treatment effects.
Estimates the regression: y_{it} = Σ_{l≠-1} β_l D^l_{it} + α_i + δ_t + ε_{it} where D^l_{it} = 1 if unit i is treated and is l periods from its treatment date. The omitted period is l = -1 (normalisation).
Fields§
§n_pre: usizeHow many pre-treatment periods to include (>= 1)
n_post: usizeHow many post-treatment periods to include (>= 1)
Implementations§
Source§impl EventStudy
impl EventStudy
Sourcepub fn estimate(
&self,
y: &ArrayView1<'_, f64>,
treated: &ArrayView1<'_, f64>,
n_units: usize,
n_periods: usize,
treat_period: usize,
) -> StatsResult<EventStudyResult>
pub fn estimate( &self, y: &ArrayView1<'_, f64>, treated: &ArrayView1<'_, f64>, n_units: usize, n_periods: usize, treat_period: usize, ) -> StatsResult<EventStudyResult>
Estimate dynamic treatment effects.
§Arguments
y– outcome vector (n_units × n_periods, row-major)treated– binary indicator per unit (n_units,)n_units– number of unitsn_periods– number of time periodstreat_period– the first treatment period for all treated units (0-indexed)
Auto Trait Implementations§
impl Freeze for EventStudy
impl RefUnwindSafe for EventStudy
impl Send for EventStudy
impl Sync for EventStudy
impl Unpin for EventStudy
impl UnsafeUnpin for EventStudy
impl UnwindSafe for EventStudy
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