Preview build on GitHub Pages. The open registry will live at e2er.org.
Skip to content
Demonstrator · items marked Example are invented · what exists today
E2ER

Skills · E2ER bundled skills

Judge and Examiner Designs

Judge (or examiner) designs exploit the quasi-random assignment of cases to decision-makers who vary in their treatment propensity. When cases are assigned to judges, patent examiners, disability adjudicators, or caseworkers through a process that is as-if random (conditional on time and location), the decision-maker's leniency serves as an instrument for the treatment they impose.

In the cataloguecausal-inferenceMIT
Anyone can contribute. Improve this skill Contribute a skill

Provenance

Project
E2ER bundled skills
Maintained by
E2ER contributors
Licence
MIT
Source file
bhanneke/E2ER-project/blob/orgsci-mvp/skills/files/causal-inference/judge-designs.md
Identifier
e2er/causal-inference/judge-designs

Use it

Ships with every installation of E2ER.

Cite this skill
Persistent identifiers planned
@software{e2ercontributors2026judgeandexaminerdesigns,
  title   = {Judge and Examiner Designs},
  author  = {E2ER contributors},
  year    = {2026},
  note    = {E2ER skill. Persistent identifier planned},
  url     = {https://github.com/bhanneke/E2ER-project/blob/orgsci-mvp/skills/files/causal-inference/judge-designs.md}
}
Report a failure

Description

Data model
Discipline
Economics
Method family
Empirical (quantitative)
Design
not specified
Research stage
Research design
Contributors
E2ER contributors (Software, Methodology)
Usage
used in 1 template · 1 published study · loaded by 1 specialist · Examples: 4 example studies
Source
E2ER repository · skills/files · @3b91f0e
Record
skill:e2er/causal-inference/judge-designs · JSON

Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.

More causal-inference skills in E2ER bundled skills