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The Review of Economic Studies is one of the most highly respected academic journals in the field of economics. It is known for publishing leading research in all areas of economics, from microeconomics to macroeconomics. The journal is published by the Oxford University Press.

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Designing Interrogations

7 January 2024

Alessandro Ispano and Péter Vida

We provide a model of interrogations with two-sided asymmetric information. The suspect knows his status as guilty or innocent and the likely strength of the law enforcer’s evidence, which is informative about the suspect’s status and may also disprove lies. We compare prosecution errors in the equilibrium of the one-shot interrogation and in the optimal mechanism under full commitment.

Voluntary Disclosure in Asymmetric Contests

7 January 2024

Christian Ewerhart and Julia Lareida

This paper studies the incentives for interim voluntary disclosure of verifiable information in probabilistic all-pay contests with two-sided incomplete information. Private information may concern marginal cost, valuations, and ability. Our main result says that, if the contest is uniformly asymmetric, then full revelation is the unique perfect Bayesian equilibrium outcome.

Strategic Foundations of Efficient Rational Expectations

12 December 2023

Paulo Barelli, Srihari Govindan, and Robert Wilson

We study an economy with traders whose payoffs are quasilinear and whose private signals are informative about an unobserved state parameter. The limit economy has infinitely many traders partitioned into a finite set of symmetry classes called types. Market mechanisms in a class that includes auctions yield the same outcome as the Walrasian rational expectations equilibrium if and only if the efficient allocation has a monotonicity property. Examples illustrate cases where they differ. Monotonicity restricts the heterogeneity among traders’ types.

Measuring Diffusion over a Large Network

12 December 2023

Xiaoqi He and Kyungchul Song

This paper 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 neighbors’ outcomes in the second period. This paper 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.

Migration and the Value of Social Networks

6 December 2023

Joshua E. Blumenstock, Guanghua Chi, and Xu Tan

How do social networks influence the decision to migrate? Prior work suggests two distinct mechanisms that have historically been difficult to differentiate: as a conduit of information, and as a source of social and economic support. We disentangle these mechanisms using a massive ‘digital trace’ dataset that allows us to observe the migration decisions made by millions of individuals over several years, as well as the complete social network of each person in the months before and after migration.

Credit Allocation and Macroeconomic Fluctuations

26 November 2023

Karsten Müller and Emil Verner

We study the relationship between credit expansions, macroeconomic fluctuations, and financial crises using a novel database on the sectoral distribution of private credit for 117 countries since 1940. We document that, during credit booms, credit flows disproportionately to the non-tradable sector. Credit expansions to the non-tradable sector, in turn, systematically predict subsequent growth slowdowns and financial crises. In contrast, credit expansions to the tradable sector are associated with sustained output and productivity growth without a higher risk of a financial crisis.

A Model of Online Misinformation

20 November 2023

Daron Acemoglu, Asuman Ozdaglar, and James Siderius

We present a model of online content sharing where agents sequentially observe an article and decide whether to share it with others. This content may or may not contain misinformation. Each agent starts with an ideological bias and gains utility from positive social media interactions but does not want to be called out for propagating misinformation. We characterize the (Bayesian-Nash) equilibria of this social media game and establish that it exhibits strategic complementarities.

Decomposing Duration Dependence in a Stopping Time Model

20 November 2023

Fernando Alvarez, Katarina Borovickova, and Robert Shimer

We develop an economic model of transitions in and out of employment. Heterogeneous workers switch employment status when the net benefit from working, a Brownian motion with drift, hits optimally-chosen barriers. This implies that the duration of jobless spells for each worker has an inverse Gaussian distribution.

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We now cover presidential and parliamentary elections 1789–2023, extending the post-1945 data of Electoral Turnovers @RevEconStudies (https://academic.oup.com/restud/advance-article/doi/10.1093/restud/rdae108/7899604).
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``Many networks naturally form as people come together to form subgraphs, e.g. as coauthors of a paper, or other teams. This is the basis for a new, computationally tractable method of estimating network formation."

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Recently accepted to #REStud, ``Simultaneous Search and Adverse Selection," from Auster, Gottardi and Wolthoff @rpwolthoff:

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Recently accepted to #REStud, ``Affiliated Common Value Auctions with Costly Entry," from Murto & Välimäki:

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The Review of Economic Studies

The Review was founded in 1933 by a group of Economists from leading UK and US departments. It is now managed by European-based economists.

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