本文梳理国际经济学顶刊《Review of Economic Studies》2024年中国境内高校学者发表的论文，共计3篇。
说明：仅统计论文发表版本的作者署名单位有中国境内高校的文章。以下论文为手工整理，如有遗漏，欢迎后台留言补充，共同助力和传播国际顶级刊物中的中国声音。
01. Beyond Dividing the Pie: Multi-Issue Bargaining in the Laboratory
超越分饼:实验室中的多议题谈判
刊发时间: JAN 2024
Olivier Bochet
纽约大学阿布扎比分校
Manshu Khanna
北京大学汇丰商学院
Simon Siegenthaler
德克萨斯大学达拉斯分校
This paper considers a moral hazard problem where the agent can choose any output distribution with a support in a given compact set. The agent's effort-cost is smooth and increasing in first-order stochastic dominance. To analyze this model, we develop a generalized notion of the first-order approach applicable to optimization problems over measures. We demonstrate each output distribution can be implemented and identify those contracts that implement that distribution. These contracts are characterized by a simple first-order condition for each output that equates the agent's marginal cost of changing the implemented distribution around that output with its marginal benefit. Furthermore, the agent's wage is shown to be increasing in output. Finally, we consider the problem of a profit-maximizing principal and provide a first-order characterization of principal-optimal distributions.
本文研究了一个道德风险问题，在该问题中，代理人可以在给定的紧集内选择具有某种支撑的任意产出分布。代理人的努力成本是平滑的，且在一阶随机占优意义下递增。为了分析这个模型，我们提出了一种适用于测度上优化问题的广义一阶方法概念。我们证明了每种产出分布都可以被实现，并确定了那些能够实现该分布的契约。这些契约的特征是，对于每个产出都有一个简单的一阶条件，该条件使得代理人在该产出附近改变已实现分布的边际成本与其边际收益相等。此外，结果表明代理人的工资随产出增加而增加。最后，我们考虑了追求利润最大化的委托人的问题，并给出了委托人最优分布的一阶特征。
02. Job Matching with Subsidy and Taxation
工作匹配与补贴和税收
刊发时间: JAN 2024
Fuhito Kojima
东京大学
孙宁
南方科技大学；南京审计大学
俞宁
南京审计大学
In markets for indivisible resources such as workers and objects, subsidy and taxation for an agent may depend on the set of acquired resources and prices. This paper investigates how such transfer policies interfere with the substitutes condition, which is critical for market equilibrium existence and auction mechanism performance among other important issues. For environments where the condition holds in the absence of policy intervention, we investigate which transfer policies preserve the substitutes condition in various economically meaningful settings, establishing a series of characterisation theorems. For environments where the condition may fail without policy intervention, we examine how to use transfer policies to re-establish it, finding exactly when transfer policies based on scales are effective for that purpose. These results serve to inform policymakers, market designers, and market participants of how transfer policies may impact markets, so more informed decisions can be made.
在劳动力和物品等不可分割资源的市场中，对经济主体的补贴和征税可能取决于其获取的资源集合以及价格。本文研究了这类转移支付政策是如何影响替代条件的，替代条件对于市场均衡的存在以及拍卖机制的运行等诸多重要问题都至关重要。对于在没有政策干预时满足替代条件的市场环境，我们研究了在各种具有经济意义的情形下，哪些转移支付政策能够维持这一条件，并建立了一系列特征定理。对于在没有政策干预时可能不满足替代条件的市场环境，我们探讨了如何利用转移支付政策来重新建立这一条件，明确了基于规模的转移支付政策在何种情况下能有效实现这一目标。这些研究结果有助于政策制定者、市场设计者以及市场参与者了解转移支付政策对市场可能产生的影响，从而做出更明智的决策。
03. Measuring diffusion over a large network
测量大型网络上的扩散
刊发时间: MAY 2024
何晓奇
中央财经大学
Kyungchul Song
英属哥伦比亚大学
This article introduces a measure of the diffusion of binary outcomes over a large, sparse network, when the diffusion is observed in two time periods. The measure captures the aggregated spillover effect of the state-switches in the initial period on their neighbours’ outcomes in the second period. This article introduces a causal network that captures the causal connections among the cross-sectional units over the two periods. It shows that when the researcher’s observed network contains the causal network as a subgraph, the measure of diffusion is identified as a simple, spatio-temporal dependence measure of observed outcomes. When the observed network does not satisfy this condition, but the spillover effect is non-negative, the spatio-temporal dependence measure serves as a lower bound for diffusion. Using this, a lower confidence bound for diffusion is proposed, and its asymptotic validity is established. The Monte Carlo simulation studies demonstrate the finite sample stability of the inference across a range of network configurations. The article applies the method to data on Indian villages to measure the diffusion of microfinancing decisions over households’ social networks.
本文介绍了二进制结果在大型稀疏网络上的扩散度量，当在两个时间段内观察到扩散时。该指标捕捉了初始阶段状态转换对第二个阶段邻国结果的汇总溢出效应。本文介绍了一个因果网络，它捕捉了两个时期横截面单元之间的因果联系。它表明，当研究人员的观察网络包含因果网络作为子图时，扩散的度量被确定为观察到的结果的简单时空依赖度量。当观察到的网络不满足此条件，但溢出效应为非负时，时空依赖度量将作为扩散的下限。利用这一点，提出了扩散的置信下限，并建立了其渐近效度。Monte Carlo 仿真研究证明了推理在一系列网络配置中的有限样本稳定性。本文将该方法应用于印度村庄的数据，以衡量小额信贷决策在家庭社交网络上的传播情况。
