# kaal:claim:2957645-012

**Claim.** Anticipatory regulation, which uses institution-specific and timely information together with feedback effects to create new rules, can minimize costly and suboptimal ex-post trial-and-error experimentation with stable and presumptively optimal rules.

**Type.** mechanism  **Support.** argued

**Holds when.**

- institution-specific and timely information is actually available to rulemakers

**Source quote.**

> Anticipatory regulation uses institution-specific, timely information and feedback effects to create new rules.24 Anticipatory dynamic regulation can help minimize costly and suboptimal ex-post, trial-and-error experimentation with stable and presumptively optimal rules.25

**From.** Kaal, *Dynamic Regulation via Contingent Capital* (2017), II. Dynamic Regulation, page 10

**Cite as.** Kaal, Dynamic Regulation via Contingent Capital (2017). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2957645

**Verify.** sha256 of source PDF `250b10782a5ea5dece9235a7f711aee408feaf36f2e78e310d589b5ee6304be2` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202017%20-%20Dynamic%20Regulation%20via%20Contingent%20Capital.pdf

**Topics.** institutional-design, dynamic-regulation

**Keywords.** anticipatory-regulation, feedback-effects, trial-and-error-rulemaking, dynamic-regulation

**Related claims.**

- restates: https://wulfkaal.github.io/claims/kaal-2014-dynamicregulationviagove-002
- restates: https://wulfkaal.github.io/claims/2267560-051
- extends: https://wulfkaal.github.io/claims/2740477-001
- extends: https://wulfkaal.github.io/claims/2267560-006
- generalizes: https://wulfkaal.github.io/claims/3441904-029
- extends: https://wulfkaal.github.io/claims/2267560-046

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.