aaaft_rils: Rank-based inference for treatment effects under logistic, Gumbel, and empirical distributions

Marcel Voia

Canadian Stata Users' Group Meetings 2025 from Stata Users Group

Abstract: aaaft_rils implements a simulation-based rank inference procedure to estimate the effect of a treatment or risk variable using projected residuals and rank statistics. The method is robust to nonlinearity and does not require classical distributional assumptions such as normality or homoskedasticity.

Date: 2025-10-05
References: Add references at CitEc
Citations:

Downloads: (external link)
http://repec.org/cand2025/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:cand25:13

Access Statistics for this paper

More papers in Canadian Stata Users' Group Meetings 2025 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().