Multiplier effect and comparative statics in global games of regime change
Why this work is in the frame
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Bibliographic record
Abstract
This paper provides a general analysis of comparative statics results in global games. I show that the effect of a change in any parameter of a global game model of regime change can be decomposed into a direct effect, which captures the effect of a change in parameters when agents' beliefs are held constant, and a multiplier effect, which captures the role of adjustments in agents' beliefs. I characterize conditions under which the multiplier effect is strong and relate it to the strength of strategic complementarities and the publicity multiplier emphasized in earlier work. Finally, I use the above insights to identify when comparative statics can be deduced from the model's primitives when they do not depend on the information structure and when they coincide with predictions of the complete information model.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it