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Nonlinear Pricing with Underutilization: Corrao, Flynn & Sastry (2023)

Distilled by claude-sonnet-4-6 · extracted Jun 25, 2026, verified Jun 25, 2026

JEL (IAR-assigned): D11, D21, D42, L86, M37 · assigned from the abstract, not the journal

Full structured metadata (methods, scope, relatesTo, topics, datasets): raw Markdown (.md)

paper-summarynonlinear-pricingmulti-part-tariffsdigital-marketsmechanism-designscreeningpeer-reviewed

What this is. The paper’s core theoretical results and the formal model with its defining equations: enough to know what was proved and how, without reading all 25 pages. To replicate or extend the proofs, read the full source at the original.

The paper studies a seller who cannot monitor or enforce how much a buyer actually consumes of what they purchase (free disposal / noncontractibility of usage), while actual usage generates revenue for the seller via advertising clicks, data collection, or network effects. The classical nonlinear pricing literature of Mussa and Rosen (1978) and Wilson (1993) predicts smooth, continuously increasing price schedules. This paper’s main result is that once buyers can freely underutilize, the optimal price schedule is a multi-part tariff: it features at least one tier where the marginal price is zero. The mechanism is that sellers would benefit from paying buyers to use the product more (a negative marginal price), but noncontractibility makes this unenforceable, so zero marginal pricing is the constrained optimum. The model rationalizes free products (search engines, social media), free trials, unlimited subscriptions, and introductory offers, matching the observed pricing of major digital platforms. The welfare analysis shows that perfect contractibility would benefit both consumers and producers, but the same technological barrier that prevents extracting full usage value also prevents compensating users for it.

Locators point into the source PDF.

#ResultLocatorStatement
R1Optimal consumption is the min of producer-optimal and consumer-optimal (bliss point) levels; the optimal price schedule is uniquely given by an integral over marginal willingness to payProp. 1, pp. 844-845Characterization of optimal contract under free disposal
R2H(x) > 0 is sufficient for the price schedule to be flat at x (a multi-part tariff tier); H(x) < 0 is sufficient for a strictly positive marginal priceProp. 2, p. 848Multi-part tariffs arise when marginal usage revenue dominates marginal information rents
R3Four pricing schemes rationalized by the sign of H: regular (H < 0 everywhere), fixed/free (H >= 0 everywhere), premium-tier (H changes sign from negative), introductory-offer (H changes sign from positive)Cor. 1, p. 850Corollary applies when H crosses zero at most once
R4Sufficient conditions for unlimited subscriptions (marginal usage revenue positive at the highest-type bliss point) and for free trials (total marginal usage revenue at the lowest-type bliss point exceeds information rent)Cor. 2, pp. 852-853Free trials and unlimited subscriptions co-occur when usage revenue is high at both ends of the type distribution
R5Under any fixed price schedule, free disposal weakly improves consumer welfare; but under the seller-reoptimized schedule, perfect contractibility strictly improves both consumer and producer welfare for all typesProp. 3, p. 856Noncontractibility reduces both consumer and producer welfare relative to the contractibility benchmark
R6When usage becomes more profitable, both consumer and producer welfare increase, but by less than under perfect contractibility; free disposal dampens welfare gains from improved advertising or data-collection technologyProp. 4, p. 857Free disposal reduces the sensitivity of welfare to changes in usage-based revenue

Overall (paper’s conclusion). The mechanism generating multi-part tariffs is the collision between two constraints: sellers would like to charge negative marginal prices to encourage valuable usage, but noncontractibility prevents this, making zero marginal pricing the constrained optimum. As a normative corollary, users of digital platforms would be better off if usage were perfectly contractible, but the same technological barrier that prevents full extraction also prevents compensation for usage.

There is a single good consumed in amounts xX=[0,xˉ]x \in X = [0, \bar{x}]. A unit measure of buyers have privately known type θΘ=[0,1]\theta \in \Theta = [0,1] drawn from distribution FΔ(Θ)F \in \Delta(\Theta) with density ff bounded away from zero (p. 840). Buyer utility is quasilinear: u(x,θ)tu(x,\theta) - t, where uu satisfies strict single crossing (uxθ>0u_{x\theta} > 0) and strict quasiconcavity in xx for all θ\theta. The outside option is normalized to zero: u(0,θ)=0u(0,\theta) = 0 for all θ\theta.

Underutilization (p. 840): A buyer who purchases yy can consume any x[0,y]x \in [0,y]. This models noncontractibility in digital markets: a newspaper can check if an article was loaded but not whether it was read; Google can verify a search was submitted but not that a human performed it. The AllAdvantage.com case study (p. 840) illustrates this directly: the platform paid users to view banner ads but was defrauded by automated click bots.

Usage-derived revenue (pp. 841-842): The seller receives both transfer payments and usage-derived revenue captured by a continuously differentiable function π:X×ΘR\pi: X \times \Theta \to \mathbb{R} with π(0,θ)=0\pi(0,\theta) = 0. The function π\pi encompasses advertising revenue, data collection value, network effects, and future addiction revenue. The seller values total revenue π(ϕ(θ),θ)+T(ξ(θ))\pi(\phi(\theta),\theta) + T(\xi(\theta)) from both usage and transfers.

Seller’s problem (p. 842): The seller designs a total-revenue-maximizing price schedule T:XRˉT: X \to \bar{\mathbb{R}} anticipating that each type θ\theta will choose purchase quantity ξ(θ)\xi(\theta) and consumption ϕ(θ)[0,ξ(θ)]\phi(\theta) \in [0, \xi(\theta)] optimally:

\sup_{\phi,\xi,T} \int_{\Theta} \left[\pi(\phi(\theta),\theta) + T(\xi(\theta))\right] dF(\theta) \tag{1}

subject to three constraints:

  • (O) Obedience: each buyer chooses optimal consumption given their purchase: ϕ(θ)argmaxx[0,ξ(θ)]u(x,θ)\phi(\theta) \in \arg\max_{x \in [0,\xi(\theta)]} u(x,\theta)
  • (IC) Incentive compatibility: each buyer chooses optimal purchase given the price schedule and their ability to underutilize: ξ(θ)argmaxyX{maxx[0,y]u(x,θ)T(y)}\xi(\theta) \in \arg\max_{y \in X} \left\{\max_{x \in [0,y]} u(x,\theta) - T(y)\right\}
  • (IR) Individual rationality: u(ϕ(θ),θ)T(ξ(θ))0u(\phi(\theta),\theta) - T(\xi(\theta)) \geq 0 for all θΘ\theta \in \Theta

Key objects (p. 843): The consumer-optimal (bliss point) consumption is:

\phi^A(\theta) = \arg\max_{x \in X} u(x,\theta), \tag{2}

which is unique and increasing by strict quasiconcavity and strict single crossing. The virtual surplus net of information rents is:

J(x,\theta) = \pi(x,\theta) + u(x,\theta) - \frac{1-F(\theta)}{f(\theta)}\,u_{\theta}(x,\theta). \tag{3}

Under the assumption that JJ satisfies strict single crossing in (x,θ)(x,\theta) and strict quasiconcavity in xx, the producer-optimal consumption maximizing virtual surplus is:

\phi^P(\theta) = \arg\max_{x \in X} J(x,\theta). \tag{4}

Proposition 1 (Optimal Pricing, pp. 844-845): In any optimal contract, consumption is the bliss-point-capped virtual surplus maximizer:

\phi^* = \min\{\phi^P, \phi^A\}. \tag{5}

The optimal price schedule on X=[ϕ(0),ϕ(1)]X^* = [\phi^*(0), \phi^*(1)] is uniquely determined by the standard envelope formula:

T^*(x) = u(\phi^*(0),0) + \int_{\phi^*(0)}^{x} u_x\!\left(z,\,\phi^{*-1}(z)\right) dz. \tag{6}

Intuition: forcing consumption beyond the bliss point violates (O) because buyers would dispose, so ϕϕA\phi \leq \phi^A is necessary. Combined with monotonicity required by (IC), capping at ϕA\phi^A is both necessary and sufficient for obedience and incentive compatibility. The price formula (6) follows from local (IC) binding.

Proposition 2 (Multi-part Tariffs, p. 848): The constrained marginal revenue function H:XRH: X^* \to \mathbb{R} maps each outcome level to the net marginal gain from additional usage for the type whose bliss point is xx:

H(x) = J_x\!\left(x,\,(\phi^A)^{-1}(x)\right). \tag{13}

The sufficient condition for H(x)>0H(x) > 0 is that marginal revenue from usage strictly dominates marginal information rents at the relevant type θ=(ϕA)1(x)\theta = (\phi^A)^{-1}(x):

\underbrace{f(\theta)\,\pi_x(x,\theta)}_{\text{marginal revenue from usage}} > \underbrace{(1-F(\theta))\,u_{x\theta}(x,\theta)}_{\text{marginal information rent}}, \tag{14}

where the left side is the per-type marginal profit from usage and the right side is the information rent that must be paid to all higher types to induce truthful purchase revelation. If H(x)>0H(x) > 0, then TT^* is flat at xx (zero marginal price, a multi-part tariff tier). Conversely, if TT^* is flat at xx, then H(x)0H(x) \geq 0. The logic: when H(x)>0H(x) > 0 the seller would prefer a negative marginal price to incentivize usage, but free disposal makes this unenforceable (buyers would underutilize to capture a negative price without delivering usage value), so zero is the binding constrained optimum.

The closest predecessor, Grubb (2009), demonstrates optimality of three-part tariffs in a model with overconfident consumers. This paper shows that overconfidence maps to a specific external revenue function π\pi, and the framework with free disposal generalizes his result to a broader class of revenue functions and pricing structures.

Welfare (pp. 855-857): Consumer welfare under free disposal for type θ\theta is:

V(\theta;T) = \sup_{y \in X,\, x \in [0,y]} \left\{u(x,\theta) - T(y)\right\}, \tag{19}

and producer welfare is total revenue from type θ\theta:

\Pi(\theta;T) = \pi(\phi(\theta;T),\theta) + T(\xi(\theta;T)). \tag{20}

Let VNV_N and ΠN\Pi_N denote the corresponding quantities under perfect contractibility of usage (no free disposal). Proposition 3 (p. 856) establishes: for any fixed TT, V(θ;T)VN(θ;T)V(\theta;T) \geq V_N(\theta;T) for all θ\theta, but under the reoptimized price schedules V(θ)VN(θ)V^*(\theta) \leq V^*_N(\theta) and Π(θ)ΠN(θ)\Pi^*(\theta) \leq \Pi^*_N(\theta) for all θ\theta. Proposition 4 (p. 857) shows that when usage becomes more profitable (π~xπx\tilde{\pi}_x \geq \pi_x pointwise) and demand weakens (Fˉ\bar{F} hazard-rate dominates FF), welfare increases for both parties but the gain is bounded above by the gain under perfect contractibility.

The analysis uses the virtual surplus characterization standard in mechanism design and nonlinear pricing, building on the Mussa and Rosen (1978) framework. The key analytical steps are:

  1. Relaxed problem: Impose only local (IC) and (O) constraints and derive a pointwise maximization in JJ at each θ\theta, giving ϕP\phi^P as the solution were free disposal absent. The key departure from standard screening is that the obedience constraint (O) is now active: it forces ϕϕA\phi \leq \phi^A.

  2. Binding obedience: For types where ϕP(θ)>ϕA(θ)\phi^P(\theta) > \phi^A(\theta), the obedience constraint binds. Monotonicity of ϕ\phi^* (required by IC) and quasiconcavity of JJ together ensure that capping at ϕA\phi^A is globally optimal: ϕ=min{ϕP,ϕA}\phi^* = \min\{\phi^P, \phi^A\}. The price formula (6) follows from integrating the binding local (IC).

  3. Flatness characterization: Differentiating (6) gives T(x)=ux(x,ϕ1(x))T^{*\prime}(x) = u_x(x,\phi^{*-1}(x)) on regions where ϕ<ϕA\phi^* < \phi^A (standard positive marginal pricing). On regions where ϕ=ϕA\phi^* = \phi^A (obedience binds), the seller is constrained to offer zero marginal prices. The constrained marginal revenue HH in (13) captures the seller’s net gain from this constraint, yielding Proposition 2.

  4. Four pricing schemes (Corollary 1, p. 850): When HH crosses zero at most once on XX^*, four cases arise: H<0H < 0 everywhere (regular pricing); H0H \geq 0 everywhere (fixed/free pricing); HH crosses from negative to positive at x^\hat{x} (premium-tier: positive marginal prices for x<x^x < \hat{x}, zero thereafter); HH crosses from positive to negative at x^\hat{x} (introductory-offer: zero marginal prices for xx^x \leq \hat{x}, positive thereafter).

  5. Unlimited subscriptions and trials (Corollary 2, p. 852): An unlimited subscription (TT^* flat at ϕ(1)\phi^*(1), the top of the consumption range) requires πx(ϕA(1),1)>0\pi_x(\phi^A(1),1) > 0: marginal usage revenue at the highest-type bliss point is positive, so information rents vanish at the top and usage incentives dominate. A free trial (TT^* flat at ϕ(0)\phi^*(0)) requires total marginal usage revenue at the lowest-type bliss point to exceed marginal information rents paid to higher types. These conditions are mutually compatible, generating two-tier pricing with both features (Example 2, p. 853).

  6. Bunching extension (online Appendix B.1): When JJ fails strict single crossing in (x,θ)(x,\theta), Nöldeke and Samuelson (2007)‘s assignment approach applies. The conclusion of Proposition 2 extends: TT^* is flat whenever the obedience constraint binds.

  7. Perfect competition (online Appendix B.2): Under a zero-profit constraint for the monopolist, the equilibrium price schedule maximizes total surplus instead of virtual surplus. Total surplus is maximized at a higher consumption level than virtual surplus (no information rent deduction), making ϕ=ϕA\phi^* = \phi^A bind more often. Multi-part tariffs are therefore more prevalent under perfect competition than under monopoly.

This is a pure theory paper with no empirical estimation. The paper includes three closed-form illustrative examples calibrated to digital goods settings:

Example 1 (Digital platform with advertisements, p. 845): Quadratic utility u(x,θ)=θxx2/2u(x,\theta) = \theta x - x^2/2, uniform types on [0,1][0,1], and linear-quadratic advertising revenue π(x,θ)=αx(β/2)x2\pi(x,\theta) = \alpha x - (\beta/2)x^2 where α=pkc\alpha = pk - c (revenue per unit time net of production cost) and β=2ph\beta = 2ph (user fatigue parameter). The consumer-optimal and producer-optimal consumption functions are:

\phi^A(\theta) = \theta, \qquad \phi^P(\theta) = \max\!\left\{0,\,\min\!\left\{1,\,\frac{\alpha + 2\theta - 1}{\beta + 1}\right\}\right\}. \tag{10}

Restricting to α1\alpha \leq 1 and β<1\beta < 1, the constrained marginal revenue H(x)=(αβx)(1x)H(x) = (\alpha - \beta x) - (1-x) crosses zero once, generating a premium-tier tariff with a threshold at x=(1α)/(1β)x = (1-\alpha)/(1-\beta) and price schedule:

T^*(x) = \begin{cases} \frac{1-\alpha}{2}x - \frac{1-\beta}{4}x^2, & x < \frac{1-\alpha}{1-\beta} \\ \frac{(1-\alpha)^2}{4(1-\beta)}, & x \geq \frac{1-\alpha}{1-\beta}. \end{cases} \tag{12}

Figure 3 (p. 853) illustrates all four cases of Corollary 1 as (α,β)(\alpha, \beta) vary.

Example 2 (Online newspaper subscriptions, p. 853): Same demand, but exponential advertising revenue π(x,θ)=α(1eλx)\pi(x,\theta) = \alpha(1 - e^{-\lambda x}) (ads noticed according to a Poisson process with hazard rate λ\lambda, one click per consumer). The constrained marginal revenue H(x)=λαeλx(1x)H(x) = \lambda\alpha e^{-\lambda x} - (1-x) can cross zero twice, generating two-tier pricing with both a free trial and an unlimited subscription for λ=2.5\lambda = 2.5, α=0.5\alpha = 0.5 (Figure 4, p. 855). This matches the Wall Street Journal’s pricing structure.

Example 3 (Arbitrary-part tariffs, p. 854): Revenue π(x,θ)=x(1θ)(k/2πω)[cos(2πωx)1]\pi(x,\theta) = x(1-\theta) - (k/2\pi\omega)[\cos(2\pi\omega x) - 1] is constructed so that H(x)=ksin(2πωx)H(x) = k\sin(2\pi\omega x) crosses zero ω\omega times, generating ω+2\omega + 2 part tariffs. Figure 5 (p. 856) plots three-, four-, and five-part tariffs for ω{1,2,3}\omega \in \{1,2,3\}.

DatasetRole in paperWiki page
NonePure theory paper; results established analyticallyn/a

The illustrative examples (Examples 1-3) use closed-form parametric functions, not empirical data sources. All results are theoretical propositions.

Read the original if you are: deriving the optimal contract for a specific digital product (online Appendix A has complete proofs); analyzing welfare effects of data-privacy regulation that reduces advertising revenue (Propositions 3-4 give the formal comparison); extending the model to partial contractibility or more general competition (the conclusion maps open directions); checking the bunching case where virtual surplus fails single crossing (online Appendix B.1); or studying competitive equilibrium pricing (online Appendix B.2 shows multi-part tariffs are more prevalent under perfect competition than monopoly).

Source: peer-reviewed, American Economic Review 113(3), March 2023. Published under AEA copyright; paywalled. This distillation was extracted by an LLM on 2026-06-25 and is not human-verified or independently reproduced. Extract-only redistribution.

Corrao, Roberto, Joel P. Flynn, and Karthik A. Sastry. “Nonlinear Pricing with Underutilization: A Theory of Multi-Part Tariffs.” American Economic Review 113, no. 3 (March 2023): 836-860. DOI: 10.1257/aer.20220199.

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