The Diffusion of New Institutions: Evidence from Renaissance Venice's Patent System
Bibliographic record
Abstract
What factors affect the diffusion of new economic institutions? This paper examines this question by exploiting the introduction of the first regularized patent system, which appeared in the Venetian Republic in 1474. We begin by developing a model that links patenting activity of craft guilds with provisions in their statutes. The model predicts that guild statutes that are more effective at preventing outsiders' entry and at mitigating price competition lead to less patenting. We test this prediction on a new dataset that combines detailed information on craft guilds and patents in the Venetian Republic during the Renaissance. We find a negative association between patenting activity and guild statutory norms that strongly restrict entry and price competition. We show that guilds that originated from medieval religious confraternities were more likely to regulate entry and competition, and that the effect on patenting is robust to instrumenting guild statutes with their quasi-exogenous religious origin. We also find that patenting was more widespread among guilds geographically distant from Venice, and among guilds in cities with lower political connections, which we measure by exploiting a new database of noble families and their marriages with members of the great council. Our analysis suggests that local economic and political conditions may have a substantial impact on the diffusion of new economic institutions.
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How this classification was reachedexpand
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".