理论论文

理论论文

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Monetary Policy and Sovereign Risk in Emerging Economies (NK-Default)

新兴经济体中的货币政策与主权风险 (NK-Default)

Quarterly Journal of Economics · 2026, 141(2) · Cristina Arellano、Yan Bai、Gabriel Mihalache ·

财政收入公共治理政府债务货币与金融监管

本文构建了一个包含主权违约风险的新凯恩斯模型。模型中, 通胀由前瞻性企业设定, 货币政策采用利率规则, 财政当局对外进行长期借款且拥有违约选择权。在这一框架下, 违约风险通过预期渠道产生通胀压力, 而紧缩性货币政策能够抑制财政过度举债。该模型为新兴市场数据中的暂时性通胀事件提供了解释: 通胀、利差与国内政策利率的短暂飙升。随着利差上升, 企业在预期未来通胀更高且违约期间消费低迷的情况下提高其价格。货币政策随之收紧, 既降低了通胀, 又通过约束政府借款促使利差回落。这些货币—财政互动意味着, 对货币政策而言, 实现弹性价格下的资源配置可能并非最优。

英文原文

Abstract This article develops a New Keynesian model with sovereign default risk. Inflation is set by forward-looking firms, monetary policy is an interest rate rule, and the fiscal government borrows externally, long-term, with an option to default. In this framework, default risk creates inflation pressures through an expectations channel, and tight monetary policy disincentivizes fiscal overborrowing. The model sheds light on temporary inflation events in emerging-market data: short-lived spikes in inflation, spreads, and domestic policy rates. As spreads rise, firms increase their prices in expectation of higher future inflation and low consumption during default. Monetary policy tightens, which reduces inflation and helps bring spreads down by disciplining government borrowing. These monetary-fiscal interactions imply that delivering the flexible-prices allocation may not be optimal for monetary policy.

Memory and Probability

记忆与概率

Quarterly Journal of Economics · 2023, 138(1) · Pedro Bordalo、John J. Conlon、Nicola Gennaioli、Spencer Yongwook Kwon、Andrei Shleifer ·

未归类D 微观经济学

在许多经济决策中,人们通过从记忆中提取经验来估计概率,例如风险发生的可能性,或某位求职者将成为高效率员工的可能性。我们基于选择性回忆的两条既有规律——相似性与干扰——对这一过程进行建模。我们表明,一个假设的相似性结构及其被描述的方式(而不仅仅是其客观概率)会影响经验的回忆,进而影响概率评估。该模型能够解释并调和多种实证发现,例如:低概率事件在被线索提示时被高估而未被提示时则被忽视、可得性启发式、代表性启发式、合取谬误与析取谬误,以及不同情境下对信息的过度反应与反应不足。该模型给出了若干新的预测,我们为这些预测找到了强有力的实验支持。

英文原文

In many economic decisions, people estimate probabilities, such as the likelihood that a risk materializes or that a job applicant will be a productive employee, by retrieving experiences from memory. We model this process based on two established regularities of selective recall: similarity and interference. We show that the similarity structure of a hypothesis and the way it is described (not just its objective probability) shape the recall of experiences and thus probability assessments. The model accounts for and reconciles a variety of empirical findings, such as overestimation of unlikely events when these are cued versus neglect of noncued ones, the availability heuristic, the representativeness heuristic, conjunction and disjunction fallacies, and over- versus underreaction to information in different situations. The model yields several new predictions, for which we find strong experimental support.