Distributing scarce jobs and output: experimental evidence on the dynamic effects of rationing
Bibliographic record
Abstract
Abstract How does the allocation of scarce jobs and production influence their supply? We present the results of a macroeconomics laboratory experiment that investigates the effects of alternative rationing schemes on economic stability. Participants play the role of worker-consumers who interact in labor and output markets. All output, which yields a reward to participants, must be produced through costly labor. Automated firms hire workers to produce output so long as there is sufficient demand for all production. In every period either output or labor hours are rationed. Random queue, equitable, and priority (i.e., property rights) rationing schemes are compared. Production volatility is the lowest under a priority rationing rule and is significantly higher under a scheme that allocates the scarce resource through a random queue. Production converges toward the steady state under a priority rule, but can diverge to significantly lower levels under a random queue or equitable rule where there is the opportunity for and perception of free-riding. At the individual level, rationing in the output market leads consumer-workers to supply less labor in subsequent periods. A model of myopic decision-making is developed to rationalize the results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".