Stock vs. Flow Sampling in Program Evaluation

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In Simple Words

Imagine testing a new study method in a university. The "stock sample" consists of upperclassmen who have already developed specific study habits and passed or failed several courses. The "flow sample" consists of incoming freshmen starting fresh on day one, allowing researchers to see how the method works from the very beginning.

Already registered Swiss jobseekers

Caseworker has no access
11% matched the top recommendation
Caseworker has access
11% matched the top recommendation

2005 trial: already registered clients, excluding Geneva and switchers. First programme within 90 days; no significant difference.

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Research question

Evaluating policy interventions on existing registered clients (stock sample) introduces duration bias because these individuals have already accumulated varying lengths of unemployment and established caseworker habits. Evaluating newly registered clients (flow sample) provides cleaner estimates of initial intervention timing but risks non-random caseworker assignment during field rollout.

Participants

N = 22,758 jobseekers in the stock sample (registered before pilot inception) and N = 12,632 jobseekers in the flow sample (registered during pilot rollout) across Swiss employment offices.

Study Design

Comparative RCT subgroup analysis evaluating treatment effects and compliance rates separately for stock versus flow jobseekers to control for duration dependence and administrative assignment changes.

Results

Short-term compliance rates remained identical across both subgroups (11% stock vs 14% flow for Definition 1; 29% stock vs 30% flow for Definition 2), confirming that timing of prediction availability did not alter caseworker compliance behavior.

Takeaway

Disaggregate field evaluation samples into distinct stock and flow cohorts to isolate duration dependence and evaluate early-intervention effects independently from long-term unemployment dynamics.

Source and citation

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Plain-English glossary

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

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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