entity · derived
Rule revision
Derived node: assembled mechanically from the claims carrying rule-revision. A roster, not an adjudicated definition.
Every claim under this term
- 1998455-027 : Where jurisdictions are not compelled to agree on the same rule, some jurisdiction will try a different rule, and will do so more quickly, when changed economic circumstances make a different rule opt
- 2267560-005 : Rulemaking conducted under conditions of incomplete information and bounded rationality produces suboptimal outcomes that require costly rule revisions, retractions, and additional rulemaking.
- 2267560-010 : Even institutional arrangements that produce optimal governance solutions generate solutions that become suboptimal over time, necessitating rule revision, updating, and revocation.
- 2267560-020 : In the conventional NIE learning process, the requirements for rules and their adaptability to future states become clear only after stable and presumptively optimal rules have already emerged as subo
- 2267560-035 : The learning process in incomplete contract theory can be improved because experimentation with different rules, rule revision, and additional rulemaking create significant transaction costs, and post
- 2273857-009 : Rulemakers discount or willingly accept unknown future contingencies and the inevitable need for later revision, amendment, and retraction, because they are pursuing certainty and predictability in th
- 2273857-010 : A regulatory framework that relies exclusively on stable and presumptively optimal rules cannot adequately address future challenges, and the amendments, revisions, and retractions such a framework ge
- 2348463-012 : Revised Rule 2019 clarifies some of the ambiguities of the old rule, but uncertainty and confusion about its application remain inevitable.
- kaal-2014-dynamicregulationviagove-009 : Experimentation with different rules under the current framework of stable rulemaking carries substantial costs of rule revision and enactment, and there is evidence that this framework does not prote
- kaal-2014-dynamicregulationviagove-013 : The existing framework of stable and presumptively optimal rules is self reinforcing: it perpetuates rulemaking processes that produce stable presumptively optimal rules and therefore keeps generating
- kaal-2014-dynamicregulationviagove-014 : Feedback effects allow the necessary information to be acquired ex ante and necessary revisions to be anticipated before rules emerge as suboptimal, rather than ex post after failure has become appare
- 2740477-024 : Accepting suboptimal rules temporarily buys rule certainty and predictability but guarantees a later cycle of revision, amendment, and repeal, so rulemakers trade short term certainty for a costly cor
- 2740477-025 : The current process of rule revisions, amendments, and repeals used to fix the inevitable shortcomings of stable rules is costly, time consuming, and in the authors' estimation cannot keep track of fu
- 2808132-027 : The current process of rule revisions, amendments, and repeals used to correct the inevitable shortcomings of stable rules is costly and time-consuming, and in the authors' estimation it cannot keep t
- 2957645-011 : Feedback effects change the timing of regulatory information: instead of acquiring necessary information only after rules have already proven suboptimal, they increase the availability of relevant inf