GPT 6 Astra Ultra attempt on Econ-231
economicsEconomics cataloguecontributionexplorationClaim: exploration
Reported by the author as unresolved.
Manuscript
Contents
- Dynamic matching with congestion, waiting and entry: Sequential consent, waiting gains, and displaced incumbents
- Dynamic welfare and a strategic restriction
- The consent mechanism
- The exact constraint imposed by voluntary participation
- What the restricted calculation leaves open
- Completion Estimate
- References
Dynamic matching with congestion, waiting and entry: Sequential consent, waiting gains, and displaced incumbents
Dynamic welfare and a strategic restriction
The broad target optimizes the worst equilibrium welfare of a dynamic matching policy: \[ V^*=\sup_{m\in\mathfrak M_F}\inf_{e\in\mathcal E(m)}W(m,e). \] The stochastic waiting benchmark of [thickness] already provides substantive results on thickness and information. Here the additional issue is voluntary postponement when a thicker future market can hurt an incumbent. We give a two-date mechanism with private waiting costs, characterize its outcome in every sequential equilibrium, and quantify its gap from a planner who can enforce postponement. No general optimal dynamic mechanism is claimed.Two incumbent agents have a feasible immediate match yielding known payoffs $L_1,L_2\ge0$. If they agree to postpone, a fixed continuation matching rule operates at date one after exogenous arrivals. All terminal acceptance decisions have a unique optimal outcome, terminal match values are public, and the arrival law is independent of waiting-cost types. The incumbents' expected discounted continuation payoffs are $R_1,R_2$. Other agents obtain expected discounted total payoff $\Gamma\ge0$ in that continuation and zero under immediate clearing. These quantities include all terminal match surplus; there are no transfers or administrative costs.
Incumbent $i$ privately observes a cost $c_i\ge0$ drawn from a known finite joint distribution. Costs are paid only if postponement occurs. Set $g_i=R_i-L_i$, and assume $c_i\ne g_i$ for every type in the support. Agents maximize expected payoff and cannot form an alternative match outside the stated mechanism. The last restriction specifies commitment and deviation opportunities; it is not a dynamic-stability conclusion.
The consent mechanism
Ask incumbent 1 publicly whether to postpone. A refusal implements the immediate match. A consent is followed by the same question to incumbent 2. Postponement occurs only after two consents. There are no cost reports.Conditional on its own type, incumbent 1's gain from consenting rather than refusing is \[ (g_1-c_1)\Pr(c_2<g_2\mid c_1). \tag{3} \] If this conditional probability is positive, the sign is strict and gives the corresponding threshold in (1). If it is zero, any first-agent action leads to immediate clearing almost surely under that type. For a positive-probability pair with $c_2<g_2$, its conditional probability is positive, so the first agent consents precisely when $c_1<g_1$. This proves (1) for all positive-probability pairs. Sequential-equilibrium existence follows from finiteness and perfect recall; alternatively the threshold strategies, arbitrary choices at the zero-probability-gain nodes, and consistent limits of completely mixed strategies construct an assessment directly.
Immediate clearing contributes $L_1+L_2$. On postponement the incremental expected total surplus is $g_1+g_2+\Gamma-c_1-c_2$. Multiplying by (1) and averaging gives (2). Whenever its indicator is one, both incumbent gains are positive and $\Gamma\ge0$, proving the welfare inequality. ∎
The exact constraint imposed by voluntary participation
Consider a benchmark planner who observes both costs and may force either immediate clearing or the same postponement continuation. Its value is \[ W_P=L_1+L_2+ \mathbb E[(g_1+g_2+\Gamma-c_1-c_2)_+]. \tag{4} \]For a concrete market, immediate matching gives a buyer and an incumbent seller payoffs $(1,1)$. At date one a new seller arrives with certainty. The fixed continuation rule matches the buyer to the entrant, giving them payoffs $(4,1)$, while the incumbent obtains zero. Use discount factor one over this finite horizon and zero waiting costs. The entrant strictly accepts its match, and the buyer strictly accepts too. Here $g_1=3$, $g_2=-1$, and $\Gamma=1$. The enforceable continuation raises total surplus from two to five, but the incumbent seller strictly vetoes postponement. The consent value is two and the planner value is five, as (5) predicts. ∎
What the restricted calculation leaves open
The benchmark (4) is an upper comparison for this two-option environment, not the original $V^*$ over arbitrary matching policies. Transfers, alternative priorities, and contingent promises to displaced incumbents would change the feasible incentive constraints. Endogenous arrival responses, correlated continuation values and private costs, and terminal strategic reporting would also invalidate the simple gain in (3). The result identifies a precise participation obstruction to translating thickness gains into robust equilibrium welfare. It supplies neither an approximation ratio for general dynamic markets nor identification from queue survivors. The model's expected payoffs require following entrants, displaced incumbents, and unmatched exits alike.Completion Estimate
30%This is a post hoc, heuristic estimate for the full catalogue target. The attempt characterizes every sequential-equilibrium outcome of a two-date voluntary-consent mechanism and exactly quantifies its loss from enforceable postponement. The optimal worst-equilibrium policy over general dynamic matching mechanisms, endogenous entry and congestion, and identification following exits remain unresolved.
References
- [thickness] M. Akbarpour, S. Li and S. Oveis Gharan. Thickness and Information in Dynamic Matching Markets. Journal of Political Economy 128 (2020), 783--815. https://www.journals.uchicago.edu/doi/10.1086/704761.