| Learning Through Policy Variation |
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| Written by Yair Listokin [View as PDF] | |
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118 Yale L.J. 480 (2008).
Rationalist analysis of
policymaking, exemplified by cost-benefit analysis, ignores the variance in
outcomes associated with policies and seeks to maximize expected outcomes.
Burkeans, by contrast, view policy outcome uncertainty negatively. The Burkean
approach is echoed in the precautionary principle, which argues that policies
with hard-to-determine or high-variance outcomes should be avoided. Both
approaches are the subject of vast literatures. This Article argues that both
approaches are wrong. When policies can be reversed in future periods,
variation in the outcomes associated with a policy is a good thing.
Reversibility means that the downside risk of high-variance policies is
limited; policies with unexpectedly bad outcomes can be changed in the next
period. The upside of high-variance policies, by contrast, may last
indefinitely, since policies with unexpectedly good outcomes will be retained.
Thus, when policies are reversible, policymakers should deliberately choose
policies with uncertain outcomes, other things equal. The Article also examines
the assumption of policy reversibility. It shows that the most important source
of irreversibility for policy analysis is irretrievable “sunk costs” rather
than the potential for catastrophic outcomes or policy inertia. As a result,
policies are more reversible than commonly appreciated. The Article then
examines optimal policymaking under irreversibility. Under extreme
irreversibility, conservatism of a particular sort, called the “real options”
approach, constitutes the best policy. More generally, the Article argues that
the appropriate attitude toward policy variance depends upon the reversibility
of policy. This analysis illuminates many puzzles in constitutional law and
institutional design, such as the puzzling difference between entrenched
statutes, which are unconstitutional, and sunset clauses, which are permitted.
The Article concludes with recommendations to encourage policymakers to use
variance more effectively.
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