Here’s a formal mapping of insoluble insolvency into a centralized regulatory review (CRR/OIRA-style) framework—treating it as a regime condition that changes what “good” regulatory review can accomplish, what metrics are valid, and what governance levers remain.
1) Formal definitions
Centralized Regulatory Review (CRR)
Let CRR be a governance function that reviews significant agency actions to improve coherence and net benefits.
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Inputs: proposed rule rrr, agency analysis A(r)A(r)A(r), statutory constraints SSS, macro/fiscal context MMM
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Process: valuation, alternatives, interagency coordination, quality control (benefit-cost / risk / distribution)
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Output: decision d∈{approve, return, revise, withdraw}d \in \{\text{approve, return, revise, withdraw}\}d∈{approve, return, revise, withdraw} plus required changes.
Formally:
d=CRR(r,A(r),S,M)d = \mathrm{CRR}(r, A(r), S, M)d=CRR(r,A(r),S,M)
Insoluble Insolvency (II)
Treat II as a macro-fiscal state in which the feasible set of policy actions cannot restore solvency under existing institutions and constraints.
Let:
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OtO_tOt = legally/operationally binding obligations (explicit + effectively unavoidable implicit)
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RtR_tRt = expected revenues under plausible policy ranges
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CtC_tCt = capacity to adjust (political, legal, administrative, macroeconomic)
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FtF_tFt = feasible policy set at time ttt (what can actually be implemented)
Define solvency restoration feasibility:
∃p∈Ft such that ΔSolvency(p)≥0\exists p \in F_t \text{ such that } \Delta \text{Solvency}(p) \ge 0∃p∈Ft such that ΔSolvency(p)≥0
Then:
IIt=1 ⟺ ∄p∈Ft that restores solvency\text{II}_t = 1 \iff \nexists p \in F_t \text{ that restores solvency}IIt=1⟺∄p∈Ft that restores solvency
Interpretation: under II, “normal fixes” (tax tweaks, trims, growth assumptions, routine reforms) don’t close the gap because the gap is structural and the feasible set is constrained.
2) Where II enters the CRR pipeline
Standard CRR assumes you can evaluate rules mostly on micro net benefits. Under II, the macro/fiscal state becomes a binding constraint that must sit above rule-level optimization.
Normal regime (no II): “maximize net benefits”
maxr∈R NB(r)=B(r)−C(r)\max_{r \in \mathcal{R}} \; NB(r) = B(r) – C(r)r∈RmaxNB(r)=B(r)−C(r)
subject to statutory constraints.
II regime: “minimize harm subject to fiscal viability constraints”
You add a binding fiscal viability constraint:
maxr∈R W(r)\max_{r \in \mathcal{R}} \; W(r)r∈RmaxW(r)
subject to:
FV(r∣M)≥0\text{FV}(r \mid M) \ge 0FV(r∣M)≥0
where W(r)W(r)W(r) is a welfare function (can include net benefits, distributional goals, risk reduction), and FV is a fiscal viability metric (below).
So CRR changes from “pick the best rule” to “pick among rules that do not worsen the solvency trajectory.”
3) The new “OIRA layer”: a Fiscal-Consistency Constraint
Under II, OIRA/CRR must treat fiscal externalities of rules as first-class:
Fiscal Viability metric
Define:
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ΔDt(r)\Delta D_t(r)ΔDt(r) = incremental deficit/debt impact of rule rrr (direct budget, transfers, enforcement, induced spending)
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ΔGt(r)\Delta G_t(r)ΔGt(r) = incremental growth/productivity effect (tax base, labor supply, investment)
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ΔKt(r)\Delta K_t(r)ΔKt(r) = contingent liabilities / tail risk transfer to government (e.g., backstops, guarantees)
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ΔUt(r)\Delta U_t(r)ΔUt(r) = unfunded obligation creation or acceleration (explicit or de facto)
A simple viability check:
FV(r)=−ΔDt(r)+αΔGt(r)−βΔKt(r)−γΔUt(r)\mathrm{FV}(r) = -\Delta D_t(r) + \alpha \Delta G_t(r) – \beta \Delta K_t(r) – \gamma \Delta U_t(r)FV(r)=−ΔDt(r)+αΔGt(r)−βΔKt(r)−γΔUt(r)
Under II, require:
FV(r)≥0(or meet a tightening threshold)\mathrm{FV}(r) \ge 0 \quad \text{(or meet a tightening threshold)}FV(r)≥0(or meet a tightening threshold)
Meaning: a rule can’t “pass” on conventional micro net benefits if it worsens debt trajectory or creates unfunded obligations that the system can’t absorb.
4) How II changes CRR evaluation criteria
A) Benefit-cost analysis becomes “fiscal-state conditioned”
Normal:
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discounting, willingness-to-pay, compliance costs, risk reduction.
Under II:
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discount rates and baselines become endogenous to fiscal stress (higher financing costs, higher crowd-out risk)
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“budget neutrality” is not a nicety; it’s a survival constraint
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tail risk dominates: small probabilities of catastrophic fiscal outcomes outweigh incremental micro gains.
B) Baseline selection becomes a policy lever
Under II, agencies can “hide” impacts via optimistic baselines. CRR must enforce a stress-tested baseline:
M∈{current law,current policy,stress macro,high-rate,low-growth}M \in \{\text{current law}, \text{current policy}, \text{stress macro}, \text{high-rate}, \text{low-growth}\}M∈{current law,current policy,stress macro,high-rate,low-growth}
and require robustness across scenarios.
C) Unfunded mandates get elevated from side issue to central trigger
Any rule that:
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creates new entitlements-like expectations,
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expands benefit eligibility de facto,
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shifts private risk to public balance sheets,
is treated as ΔUt(r)>0\Delta U_t(r) > 0ΔUt(r)>0 and faces a presumptive return.
5) Governance mapping: what CRR must become under II
CRR as “Centralized Constraint Manager”
In normal times, CRR is a coordinating optimizer. Under II, it becomes a constraint manager that allocates scarce fiscal capacity.
This yields three formal modules:
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Quality Control Module (traditional OIRA)
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analytic integrity, alternatives, cost-effectiveness, IQA-style information discipline.
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Fiscal Consistency Module (II overlay)
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compute FV; enforce non-worsening debt trajectory; prohibit hidden contingent liabilities.
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Portfolio Module (regulatory budget logic)
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treat rules as a portfolio consuming fiscal/regulatory capacity:
∑rCapacityUse(r)≤TotalCapacity(M)\sum_r \text{CapacityUse}(r) \le \text{TotalCapacity}(M)r∑CapacityUse(r)≤TotalCapacity(M)
Capacity can be dollars, risk tolerance, enforcement bandwidth, or political feasibility.
6) Practical decision rules (what “return to agency” looks like)
Under II, CRR can apply crisp triggers:
Return if any are true:
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ΔUt(r)>0\Delta U_t(r) > 0ΔUt(r)>0 without offsetting reforms (explicitly identified)
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ΔKt(r)\Delta K_t(r)ΔKt(r) increases material contingent liabilities (guarantees/backstops) without pricing
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Rule relies on a single optimistic baseline; fails under stress scenarios
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Claimed benefits are non-falsifiable / low quality data (information discipline failure)
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Net benefits positive, but FV(r)<0\mathrm{FV}(r) < 0FV(r)<0 (fiscal incompatibility)
Approve fast-track if:
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FV(r)>0\mathrm{FV}(r) > 0FV(r)>0 and rule reduces systemic risk or improves tax base integrity (fraud reduction, enforcement efficiency, productivity improvements).
7) Why “centralized review” becomes more important under II
II is the condition where decentralized agencies, each optimizing within their silo, will systematically:
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externalize fiscal risk,
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create implicit guarantees,
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expand obligations without funding,
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double-count benefits and undercount tail risks.
So II supplies the formal justification for stronger CRR:
II⇒need for centralized constraint enforcement\text{II} \Rightarrow \text{need for centralized constraint enforcement}II⇒need for centralized constraint enforcement
because only a central reviewer can internalize cross-agency fiscal externalities.
8) One-page “formal map” summary
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II is a macro-state variable that turns fiscal sustainability into a binding constraint.
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CRR must condition rule evaluation on that state (state-dependent review).
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Under II, the objective shifts from micro net benefit maximization to harm minimization / viability protection.
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OIRA/CRR becomes a constraint manager + portfolio allocator, not just an analyst referee.
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New pass/fail hinges on fiscal consistency, contingent liabilities, and unfunded obligation creation, with stress-tested baselines and enforceable triggers.
NB A notable nod to ChatGPT