dssg / dssg/after-hours

Update code for how individuals enroll in treatment sites

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#5 1 comment 0 reactions 0 assignees View on GitHub
feature
Dominant language
R
Stars
2
Forks
3
PR merge metrics
No merged PRs in 30d

Description

This follows a conditional logit specification (i.e. single choice equal to maximal latent utility, with coefficients constant across choices) that has already been specified.

Predictors include distance and some predictive factors (like observed student variables) with coefficients in common across options, there should be treatment specific fixed effects (centerd around zero) in drawing attendance.

Contributor guide

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Research direction

No files or tests are named; start by locating the treatment-site enrollment code and the existing conditional logit specification. Done should match the stated model: common coefficients for distance and observed student predictors, treatment-specific fixed effects centered around zero, and attendance drawn from the maximal latent utility choice.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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