Jobseeker Attribute Selection Invariance

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In Simple Words

Imagine a university dropping its application fee. If the additional students who apply have the exact same test scores, grades, and teacher recommendations as the students who applied previously, lowering the fee increases application volume without reducing the overall qualification level of the applicant pool.

Job applications on a Lahore platform

Applications without calls
Comparison applications
Extra applications caused by calls
No clear difference in CV ratings

Estimated application groups; employers rated the CVs. Difference not significant. The unobserved causes of applying remain uncertain.

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Research question

Lowering application barriers could potentially draw in systematically lower-skilled or less-qualified candidates, diluting applicant quality and confounding returns to search interventions. Evaluating whether marginal applicants differ in baseline education, work experience, or employer-graded CV scores is essential for policy evaluation.

Participants

N = 1,477 jobseekers with employer-graded CVs across 122,946 matches in Lahore, Pakistan.

Study Design

Latent type compliance analysis and RCT regression models interacting treatment status with employer-assigned CV quality tiers (excellent, good, average/lower).

Results

Treatment effects on applications did not differ significantly by employer-graded CV quality (interaction p = 0.186). Mean predicted interview probabilities based on observed jobseeker traits were identical at 6.3% for inframarginal and 6.3% for marginal applications (p = 0.874).

Takeaway

Expand application facilitation programs broadly without imposing strict pre-screening filters, as reducing initiation friction does not induce adverse selection in applicant qualification.

Source and citation

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Read alongside the research

Plain-English glossary

Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.

Baseline

The starting measurements in a study. Researchers use these to compare what participants were like at the start with what happens later.

ExampleBefore a training programme starts, researchers measure workers’ earnings. That first measurement is the baseline.

GET-IT glossary · Baseline characteristics ↗Read more about baseline →
Randomized controlled trial

A study that uses chance, like drawing lots, to decide who receives each option being compared. Researchers compare the groups’ outcomes to estimate the effect of those options.

ExampleA lottery assigns volunteers to a training programme or a comparison group. Researchers then compare their outcomes.

GET-IT glossary · Randomized study ↗Read more about randomized controlled trial →

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