Non-Stationary Search and Assortative Matching

IF 7.1 1区 经济学 Q1 ECONOMICS
Econometrica Pub Date : 2025-09-16 DOI:10.3982/ECTA22257
Nicolas Bonneton, Christopher Sandmann
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引用次数: 0

Abstract

This paper studies assortative matching in a non-stationary search-and-matching model with non-transferable payoffs. Non-stationarity entails that the number and characteristics of agents searching evolve endogenously over time. Assortative matching can fail in non-stationary environments under conditions for which Morgan (1995) and Smith (2006) show that it occurs in the steady state. This is due to the risk of worsening match prospects inherent to non-stationary environments. The main contribution of this paper is to derive the weakest sufficient conditions on payoffs for which matching is assortative. In addition to known steady state conditions, more desirable individuals must be less risk-averse in the sense of Arrow–Pratt.

Abstract Image

非平稳搜索与分类匹配
研究了收益不可转移的非平稳搜索匹配模型中的分类匹配问题。非平稳性意味着搜索主体的数量和特征会随着时间内生地进化。在Morgan(1995)和Smith(2006)表明它发生在稳定状态的条件下,分类匹配可能在非平稳环境中失败。这是由于非平稳环境固有的匹配前景恶化的风险。本文的主要贡献是推导了匹配是分类的收益的最弱充分条件。除了已知的稳态条件外,更理想的个体必须在阿罗-普拉特意义上更少地规避风险。
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来源期刊
Econometrica
Econometrica 社会科学-数学跨学科应用
CiteScore
11.00
自引率
3.30%
发文量
75
审稿时长
6-12 weeks
期刊介绍: Econometrica publishes original articles in all branches of economics - theoretical and empirical, abstract and applied, providing wide-ranging coverage across the subject area. It promotes studies that aim at the unification of the theoretical-quantitative and the empirical-quantitative approach to economic problems and that are penetrated by constructive and rigorous thinking. It explores a unique range of topics each year - from the frontier of theoretical developments in many new and important areas, to research on current and applied economic problems, to methodologically innovative, theoretical and applied studies in econometrics. Econometrica maintains a long tradition that submitted articles are refereed carefully and that detailed and thoughtful referee reports are provided to the author as an aid to scientific research, thus ensuring the high calibre of papers found in Econometrica. An international board of editors, together with the referees it has selected, has succeeded in substantially reducing editorial turnaround time, thereby encouraging submissions of the highest quality. We strongly encourage recent Ph. D. graduates to submit their work to Econometrica. Our policy is to take into account the fact that recent graduates are less experienced in the process of writing and submitting papers.
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