Fiscal capture

The fiscal-capture threshold φ* comes out of a standard Laffont-Tirole principal-agent model. The regulator is the principal and writes a contract for the firm, the agent. The firm produces output that carries a social harm h and a per-unit fiscal contribution τ, and it knows its own efficiency type while the regulator does not. The ingredient that drives the result is what the regulator is trying to maximize. Its objective mixes two things — social welfare and fiscal revenue — with a weight β for how heavily the government leans on the industry. Solve that optimization and φ* emerges as a function of the firm's cost structure, the odds of each efficiency type, and the disutility of effort. The comparative statics are the part worth carrying out of the algebra. φ* falls as social harm h rises: the greater the harm, the less fiscal dependence it takes before the tilt sets in. For τ, no direction is asserted: the source's prose and its displayed derivation disagree, and the direction stays recorded as unresolved pending reconciliation. And the regulator's chosen output climbs monotonically with fiscal dependence β: the more the state needs the money, the more it wants the industry to produce.

Conflictoring — the shared preference to understate the harm — is neither a conspiracy nor a coordination failure. In the same Laffont-Tirole model it appears on its own, as an equilibrium, the moment the fiscal weight β rises above zero. Each side reaches under-disclosure by its own arithmetic. The firm keeps quiet because revealing the full harm would invite regulation that cuts its profit. The regulator keeps quiet because revealing the full harm would invite reform that cuts its revenue. No meeting is required; the interests simply point the same way. And nothing dislodges them. Neither party gains by being the first to disclose more, so the equilibrium is stable — which is exactly why the Hollow Win can persist even when both sides know the full extent of the damage.

All three classical traditions answer one structural defect: system welfare sits outside the payoff space that the players respond to. They are three switches wired to the same missing coordinate. Pigou imposes the system price λ_W from outside, through a planner — and the MST capture theorem predicts this regime fails once capture intensity φ crosses the threshold φ*, restoring the Hollow Win. Coase leaves the coordinate to be traded at zero transaction cost, a non-binding boundary. Ostrom repairs it from within, folding the coordinate back into the incentives the players already carry. Same defect, three switches — but each demands different institutions to work and each breaks in its own way. The chapter's table lays those requirements and failure modes side by side.

The Conflictoring capture-allocation mechanism is a seven-lane repair for the market failures the Missing System Theory diagnoses. In those failures the system-welfare coordinate W is not a function of the parties' payoffs, so the game produces Hollow Wins (0,1,1) that a Pigovian planner cannot reach — the planner's single regulatory node is itself a target the incumbent can capture. Conflictoring routes around that node by spreading the work across actors who cannot all be reached the same way: employees or whistleblowers, CEOs and boards, plaintiff litigators, shareholders, regulators, policymakers, and communities and the affected public. Each faces a different capture technology, and one lobbying budget does not control them equally. The mechanism runs on independently profitable unilateral movers, not collective benevolence — a shareholder repricing risk from disclosure and restoration, for instance, needs no one else's cooperation to act. Calabresi's cheapest-cost-avoider logic then sharpens the choice of who moves first¹⁴: which actor can most cheaply prevent, reduce, expose, insure, regulate, litigate, or reprice the harm? The paper models the incumbent's resistance as a foreclosure problem with convex suppression costs, and endogenizes concealment and detection inside the same adversarial budget — so the more the incumbent spends hiding the harm, the less it has to spend evading the next lane.

The mechanism is not a tautology, and the paper is explicit about how it could be proven wrong. Its falsification condition: if a revenue-dependent regulator can bind itself to welfare-maximizing contracts above φ*, the mechanism fails. That commitment to a direction is what makes the theory testable. It predicts weaker enforcement in industries that contribute more to the public purse. Find the opposite pattern — higher fiscal contributions paired with higher enforcement — and the prediction is broken. Show a revenue-dependent regulator reliably choosing welfare over revenue above the threshold, and the mechanism fails again. Stated conditions like these do double duty: they tell an empiricist where to look, and they tell a reformer where the repair lies, since the same fiscal dependence that could confirm the theory is the thing decoupling would remove.

The protected Laffont–Tirole model folds fiscal dependence into the regulator's objective. Here h is the model's harm level, τ is the fiscal contribution from the activity, and output is the modeled industry output under the stated conditions. φ* is the threshold above which that dependence tilts policy toward the industry. One caution belongs up front. The protected source's comparative statics are internally inconsistent: its prose says φ* falls as harm h rises and rises as fiscal contribution τ rises, while the displayed derivative and appendix give a negative derivative with respect to τ. This core records the conflict and withholds a settled τ direction until the derivation is reconciled. What is not in dispute: output is reported to rise with fiscal dependence, and the whole picture describes structural Party-B alignment, not an allegation of bribery. Joint under-disclosure can hold as an equilibrium because full disclosure threatens both the firm's profit and the state's fiscal intake. And the claim is falsifiable: it fails if a revenue-dependent regulator can commit to welfare-maximizing contracts above φ*, or if the predicted enforcement pattern runs the other way once suitable controls are in place. Status boundary. The comparative statics and the threshold relation are proposed model results carried from the protected fiscal-capture source. The formal derivation and its assumptions remain pending mathematical review; this core teaches the model's objects, its prediction, and its falsifier without presenting the result as an externally admitted theorem. A few working definitions for the exercise. Equilibrium means a stable pattern of the modeled disclose/withhold choices, given what the other actors choose. A revenue map records which activity supplies which public revenue and which official controls the relevant rule. To commit is to bind the regulator to a stated contract or enforcement rule before the fiscal pressure hits. A policy pattern is the observed direction of contracting or enforcement as fiscal dependence varies. For instance, take two otherwise similar regulators with different industry-revenue shares and record whether each still enforces the same welfare-maximizing contract after a revenue shock — that observation is what tests the predicted pattern.

The fiscal-capture claim has to earn its place against a simpler story¹⁶. Start with a revenue map: record what share of the relevant public budget rides on the industry, which activity throws off that revenue, and which official holds authority over the rule, the enforcement, or the reporting choice. Then compare cases that differ in fiscal dependence while holding the regulatory setting as steady as you can. The prediction is sharper than plain weak enforcement — it is that stronger fiscal dependence goes with weaker enforcement, or with policy designed to protect the revenue base. The same setup can reject the mechanism. An agency with heavy fiscal dependence that keeps committing to welfare-maximizing contracts, enforces them against revenue-generating firms, and holds that line after revenue shocks is evidence against the model in that setting. A good diagnostic writes down that possibility before it interprets the case. Fiscal decoupling — separating the public budget from the harmful activity — can loosen the alignment, but it does no more than that. It does not create an independent W signal, solve measurement, or finish enforcement design. The measurement chapter owns measurement, the Decision Accounting chapter owns the record, and the Conflictoring chapter owns the full repair protocol.

Worked (illustrative). A state draws 30% of a dedicated program budget from an industry it regulates, and an analyst notices enforcement running late. The right first conclusion is not "capture proved." Fiscal alignment is a plausible mechanism, no more; the next step is to collect the revenue map, the enforcement comparison, and a falsification observation. Faded. A regulator receives no dedicated revenue but faces intense lobbying. Which mechanism is on trial here, and what evidence separates it from fiscal capture? <details><summary>Answer key</summary> This case tests lobbying or influence capture, not fiscal capture. The revenue map is what tells them apart: the regulator has no dedicated fiscal dependence, so compare lobbying contact, appointment paths, revolving-door exposure, enforcement choices, and policy timing against a comparable regulator or period. If enforcement shifts with lobbying exposure while the budget and authority stay comparable, lobbying is the channel. If it instead tracks the regulator's dependence on the activity's revenue, fiscal capture stays in play. Keep the two apart until the comparison shows which channel moves. </details> Independent. Design a one-page diagnostic for a procurement authority whose fees rise with contract volume. Name the W signal, the display point, the fiscal stake, the predicted policy pattern, and one fact that would falsify your explanation. <details><summary>Answer key</summary> A complete diagnostic names an independently sourced system signal — service reliability, worker injury, patient delay, or lifecycle cost — and fixes its geography, period, unit, and review owner. It records where that signal reaches the decision-maker, the fee or budget dependence that contract volume creates, the predicted policy response, and one observation that would defeat the fiscal-capture story: for example, unchanged policy after a large revenue shock under comparable authority and information. The answer is a diagnostic design; it does not, on its own, establish that the authority is captured — that still takes the comparison and the source receipts. </details>

> Claim: "A regulator that receives industry revenue has been proven corrupt." What does the model actually establish? > Answer: A fiscal-alignment mechanism to test — not an accusation of bribery, and not a finding about any particular official. The analyst still has to document the revenue map, the regulator's authority, a comparison that varies fiscal dependence, the predicted policy pattern, and an observation that would falsify the explanation. Lobbying, ordinary administrative delay, and fiscal capture stay distinct hypotheses until the evidence separates them. A tax receipt on its own proves none of them. Misconception: treating fiscal dependence as proof that a particular regulator is corrupt. Acceptance criterion: distinguish a structural fiscal-alignment mechanism from an individual finding, and name a comparison or observation that could falsify the mechanism.

The classical-remedies chapter takes up the remedies that appear to solve this problem and marks the boundaries where each one fails.