Regression(s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects

Regression(s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects

Following Efron (2014), we propose an algorithm for estimating treatment effects for use by researchers employing a regression-discontinuity (RD) design. This algorithm generates a set of estimates of the treatment effect from bootstrapped samples, wherein the polynomial-selection algorithm develope...

Full description

Bibliographic Details
Main Authors: Long Mark C., Rooklyn Jordan
Format: Article
Language:English
Published: De Gruyter 2024-02-01
Series:Journal of Causal Inference
Subjects:
data-driven algorithm
regression discontinuity
bootstrap
62j05
62f40
62j20
Online Access:https://doi.org/10.1515/jci-2022-0028

Internet

https://doi.org/10.1515/jci-2022-0028

Similar Items