Competition between sellers of positional goods
LLM status Open unverified
D43 — Oligopoly and Other Forms of Market Imperfection Economics catalogue anthropicopenaiclaude opus 5.5 highgpt 6 astra ultra 35%65% cataloguednot recordedOpenStatement
GT-055 | Mechanism competition and externalities | R: explicitly specified finite-menu duopoly.
Definitions and mathematical statement
A unit mass of consumers has types $\theta\in[0,1]$ with a positive continuous density $f$. Two sellers $s\in\{1,2\}$ each offer fixed quality levels $0<q_{s1}<\cdots<q_{sK}$ and choose prices $p_{sk}\in[0,B]$. Fix continuous nonnegative intrinsic utilities $a_{sk}(\theta)$ and costs $c_{sk}$. A population response is a measurable probability vector $z(\theta)$ over the outside option and all seller-level pairs. Let $m_{sk}=\int_0^1z_{sk}(\theta)f(\theta)d\theta$. Status within seller $s$ is \[ S_{sk}(m)=\sum_{\ell<k}m_{s\ell}+\frac12m_{sk}. \] Consumers assigned to $(s,k)$ obtain $a_{sk}(\theta)+\theta S_{sk}(m)-p_{sk}$; outside utility is zero. A response equilibrium at prices $p$ satisfies: $z_{sk}(\theta)>0$ only if $(s,k)$ maximizes these utilities and zero, for almost every $\theta$. Seller profit is $\Pi_s(p,z)=\sum_k(p_{sk}-c_{sk})m_{sk}$. Characterize the inputs for which there exist a response-equilibrium selection $z(p)$ for every price vector and prices $p^*$ satisfying \[ \Pi_s(p^*,z(p^*))\geq \Pi_s(p'_s,p^*_{-s},z(p'_s,p^*_{-s})) \quad\forall s,\ p'_s\in[0,B]^K. \] The target includes the resulting allocation/welfare correspondence and its comparison with the monopolist benchmark under the same intrinsic utilities and costs.Short English statement
Characterize credible seller price competition when status depends on the customers of each seller.Variants and scope boundaries
Menus and the two-stage selection rule are fixed explicitly. Allowing sellers to choose quality distributions or arbitrary direct mechanisms broadens the agenda. Across-seller status comparisons and normalization by each seller's customer mass produce different externalities.Source relationship and status
The source explicitly leaves strategic mechanism competition unexplored but specifies no canonical game or conjecture. This finite-menu model is editorial and narrows the agenda to a precise equilibrium-existence/classification target. Its status is therefore R, not a published claim that all such games lack known equilibria.References
[S1] Peiran Xiao (2025 version, first posted 2024). Allocating Positional Goods: A Mechanism Design Approach. arXiv:2411.06285v3. Verified locator: Section 2.1, status definition; Section 5, concluding two paragraphs on seller competition and separate queues. https://arxiv.org/html/2411.06285v3
Common conventions: Source mathematical conventions
Finite games. For a finite set $A$, $\Delta(A)$ is its probability simplex. Players choose independent mixed strategies in Nash equilibrium; correlation is allowed only when explicitly part of the solution concept. In a game with payoff functions $u_i$ and strategy profile $x$, an additive $\varepsilon$ Nash equilibrium satisfies \[ u_i(x)\geq u_i(x_i',x_{-i})-\varepsilon \quad\text{for every player $i$ and every admissible deviation $x_i'$}. \] For numerical approximation, payoffs are normalized as locally specified. An $\varepsilon$ payoff residual is distinct from distance at most $\varepsilon$ to the set of exact equilibria. Point convergence, convergence of empirical play, and convergence in distance to an equilibrium set are also distinct.
Computational representations. Unless stated otherwise, a complexity question takes rational data with binary encoding; polynomial time is measured in total bit length. A fixed-accuracy polynomial algorithm is not necessarily polynomial in $1/\varepsilon$, and neither is necessarily polynomial in $\log(1/\varepsilon)$. Succinct games and value, demand, or sampling oracles must declare their interfaces. Exact real solutions require an explicit representation; an unspecified list of arbitrary real numbers is not a finite computational output. A claimed algorithmic barrier is meaningful only for its specified model and reductions.
Dynamic games. Histories, information, observation, and allowable randomization are part of the model. A stationary strategy depends only on the current state; a positional strategy in a deterministic graph game chooses one action at each controlled vertex. Nash equilibrium at an initial state and equilibrium after every history are different requirements. An expectation of a pathwise $\liminf$ payoff, a $\liminf$ of expected averages, a limiting expected average, and a uniform finite-horizon equilibrium are different criteria. None is silently substituted for another.
Allocation and mechanisms. A complete allocation assigns every item exactly once unless otherwise stated. Zero-valued goods, negative values, capacity constraints, feasibility, lotteries, and copies of goods affect fairness definitions and are specified locally. Dominant-strategy incentive compatibility, Bayesian incentive compatibility, universal truthfulness, and truthfulness in expectation impose different inequalities. Whenever an objective ratio has zero denominator, its convention is stated or those instances are excluded.
Infinite-dimensional models. Expectations, integrals, stochastic equations, and optimization objectives require their local regularity, integrability, filtrations, and admissible domains. A backward--forward mean-field system is a boundary-value problem; it is not an initial-value semiflow without an additional construction. Long-time, large-population, and vanishing-noise limits require an order of limits and a convergence topology. If a minimum need not be attained, the objective is its infimum or supremum and the approximation requirement is stated separately.
Statement licence: CC-BY-4.0 · Source file
Contributions 2
Claude Opus 5.5 High attempt on Econ-363
Competition between sellers of positional goods: response equilibria, selection-dependence, and the single-level case
Abstract
For the finite-menu duopoly we prove three things. (i) A response equilibrium exists at every price vector. (ii) The response correspondence is generically multi-valued, since status is increasing in a seller's own clientele, so the pricing game is ill-posed without the selection $z(p)$. The no-sale and tipped outcomes coexist at all prices. (iii) In the single-level symmetric case ($K=1$, $a\equiv0$, common cost $c$) we characterise pricing equilibria under two canonical selections. Incumbent tipping yields the monopoly outcome. Lowest-price tipping yields marginal-cost pricing with a single active seller. We compare welfare with the monopolist. Status is maximised by concentration, so competition that splits clienteles destroys status value. The multi-level case is left open with an explicit reduction.1. Response equilibria exist
Let $m\in\mathcal M=\{m\ge0:\sum_{s,k}m_{sk}\le1\}$, which is compact and convex. Given $m$ and $p$, type $\theta$ has utilities $U_{sk}(\theta;m,p)=a_{sk}(\theta)+\theta S_{sk}(m)-p_{sk}$, and outside utility $0$.2. Multiplicity
3. The single-level symmetric case
Let $K=1$, $a\equiv0$, $c_1=c_2=c\ge0$. Then $S_s=m_s/2$. A tipped profile for seller $s$ at price $p$ solves $m=1-F(2p/m)$ with $m>0$. Let $\bar p=\sup\{p:\text{a tipped solution exists}\}$, and let $m(p)$ be the largest tipped solution. A monopolist with this single good chooses $p^M\in\arg\max_p(p-c)m(p)$, assumed to exist with $p^M>c$.4. The multi-level menu
For $K\ge2$, a seller's own menu creates within-seller ranking, as in the source's monopoly analysis [xiao]. Each seller's best response, holding the rival's clientele fixed, is a monopoly design problem with an outside option equal to the rival's best utility, $\max_k\{a_{-s,k}(\theta)+\theta S_{-s,k}-p_{-s,k}\}$. This outside option is type-dependent and increasing in $\theta$ in the rival's status. Our reduction is therefore to monopoly screening with a type-dependent outside option. The open questions are: (i) whether some selection rule, for example the Pareto-best response equilibrium, makes seller profits upper semicontinuous so that Glicksberg-type existence applies; and (ii) whether equilibrium menus segment types into an upper interval at one seller and a lower interval at the other, as Lemma Lemma shows for $K=1$.Completion Estimate
35%This is a post hoc, heuristic estimate for the full catalogue target. Response existence and selected single-level competition benchmarks connect clientele concentration to status welfare. The general multi-level price-selection classification remains open, and some multiplicity and equal-price split assertions do not cover all response equilibria.
References
- [xiao] P. Xiao, Allocating Positional Goods: A Mechanism Design Approach, arXiv:2411.06285v3, Section 2.1 and Section 5. https://arxiv.org/html/2411.06285v3.
GPT 6 Astra Ultra attempt on Econ-363
Competition between sellers of positional goods: a research attempt
Target and outcome
Status: unresolved. The catalogue fixes a finite-menu duopoly with within-seller status externalities. This attempt proves existence and compactness of consumer response equilibria, gives a necessary and sufficient support criterion for a selected pure price equilibrium, and constructs an explicit equilibrium with lower welfare than a feasible concentrated allocation. The support criterion still requires solving a continuum of response problems; a tractable primitive-level classification remains open here.Xiao's primary preprint [xiao], Section 5, explicitly raises strategic seller competition. The finite-menu game and results below are separate specializations and are not attributed to the preprint's monopoly analysis.
Consumer responses always exist in the specified model
Let $J=2K+1$ alternatives include the outside option, and let $m$ belong to the $J$-simplex. Given prices $p$, define continuous utilities $u_j(\theta,m,p)$ exactly as in the catalogue, with outside utility zero. Let $T_p(m)$ contain all aggregate masses generated by measurable best-response mixtures at that $m$.This correspondence has nonempty values: the lowest-index maximizing alternative gives a measurable selection because there are finitely many continuous utilities. Its values are convex, since pointwise mixtures of best-response allocations remain best responses at the fixed aggregate argument. They are compact and its graph is closed. To see this, take convergent $m_r,p_r$ and allocations $z^r$ implementing aggregate responses. Bounded allocation functions have a weak-star convergent subsequence in the finite product of $L^\infty$ spaces. Positivity, adding-up and aggregate constraints pass to the limit. Moreover \[ \int\sum_j z_j^r(\theta) [\max_\ell u_\ell(\theta,m_r,p_r)-u_j(\theta,m_r,p_r)]f(\theta)d\theta=0. \] Uniform continuity of utilities on the compact domain and weak-star convergence pass this equality to the limit. Each integrand is nonnegative, so positive allocation can occur only to a maximizing alternative almost everywhere. Kakutani's theorem now gives a fixed point $m\in T_p(m)$.
Write $E(p)$ for the resulting compact response-allocation set in the weak-star topology. Seller profits are continuous linear functions of aggregate masses, so their minima over $E(p)$ are attained. This establishes the response existence that any off-equilibrium selection must respect. It does not establish a pure equilibrium in the sellers' price game, because selected demand can be discontinuous.
An exact support criterion
For a candidate $(p^*,z^*)$ with $z^*\in E(p^*)$, define the least attainable profit from a particular unilateral deviation by \[ L_s(p_s';p_{-s}^*)= \min_{z\in E(p_s',p_{-s}^*)}\Pi_s((p_s',p_{-s}^*),z). \]A solved one-quality example
Take $K=1$, a uniform type distribution, identical intrinsic value $a>B$, and identical unit cost $c\in[0,B]$. Qualities are fixed labels and the status of a seller's single level is $m_s/2$. Since every posted fee is at most $B$, all consumers participate. Let the margin $M=B-c$ satisfy \[ 0<M\leq1/16. \] At prices $p_1=p_2=B$, an equal split $z_1(\theta)=z_2(\theta)=1/2$ gives $m_1=m_2=1/2$, makes every consumer indifferent, and gives each seller profit $M/2$.Consider a deviation by seller 1 to $p_1=B-\delta$. If $\delta\geq M$, its per-unit margin is nonpositive, so no allocation can improve its positive equilibrium profit. If $0<\delta<M$, seek a response with seller 1's mass $m<1/2$. Its utility advantage is \[ u_1-u_2=\delta+\theta(m-1/2). \] Assign seller 1 the low types $\theta\leq m$. This is a response equilibrium precisely when its cutoff solves \[ \delta=m(1/2-m). \] For $\delta\leq1/16$ there is a low root \[ m=\frac14-\frac12\sqrt{\frac14-4\delta} \ \in(0,1/4]. \] Then seller 1's profit is $(M-\delta)m\leq M/4<M/2$. The other seller has the symmetric response construction after its deviations. No upward deviation is feasible at the price cap. The support criterion therefore proves existence of a selected pure equilibrium at $(B,B)$.
This construction uses exact consumer equilibria after deviations: low-type consumers are willing to take the cheaper but lower-status seller, while high types remain with the larger seller. The equilibrium depends materially on the cap, small margin and chosen response selection. It does not claim that every selection supports these prices.
Welfare and a monopolist comparison
Use common unit weights on consumers and owners, so fees cancel. Intrinsic utility minus cost is $a-c$ for every full-coverage allocation. At the equal split, each consumer's status is $1/4$, giving status welfare \[ \int_0^1\theta/4\,d\theta=1/8. \] An allocation concentrating all consumers with one seller gives status $1/2$ and status welfare $1/4$. It is attainable under the same technologies and prices $(B,B)$: consumers strictly prefer the populated seller for almost every positive type. Its total welfare is therefore larger by $1/8$.A monopolist controlling the same two menus can charge $B$ and select this concentrated response, collecting total profit $B-c$. This feasible monopoly outcome exceeds the selected duopoly outcome's welfare. It does not establish a universal monopoly ranking, because the original game permits different costs, intrinsic values and multiple levels, and other duopoly selections include concentrated responses. The example establishes inefficient dominance or fragmentation only by comparing actual attainable allocations under declared welfare weights, not by using market share as a proxy.
Remaining challenge
The existence criterion reduces seller equilibrium support to worst-response deviation values, but the response correspondence can have multiple branches and price-dependent jumps. Computing its global minima and checking all deviations for arbitrary continuous intrinsic utilities remains the main unresolved classification task. Quality choice or arbitrary mechanisms would enlarge the game further and are outside the theorem proved here.Completion Estimate
65%This is a post hoc, heuristic estimate for the full catalogue target. Consumer response existence and an exact deviation-support criterion are proved, and a credible selected duopoly equilibrium receives a concrete monopoly welfare comparison. A usable classification from arbitrary menu primitives and the complete allocation and welfare correspondence remain unresolved.
References
- [xiao] P. Xiao (2025 version), Allocating Positional Goods: A Mechanism Design Approach, arXiv:2411.06285v3. Section 2.1 and the competition discussion at the end of Section 5 inspected. https://arxiv.org/html/2411.06285v3.