Selected work

Representative Papers

Who Owns the Online Media?

Aug 14, 2026

This study addresses the challenges of media ownership opacity and accountability by constructing ownership networks for thousands of European and American outlets to measure transnational market concentration. Employing a fixed-pair design, we examine the causal effect of ownership changes on content similarity. Results indicate that over half of media entities are controlled by single owners, with common ownership significantly driving reporting convergence, particularly in the United States. The primary contribution lies in establishing cross-nationally comparable quantitative metrics demonstrating that content homogenization is predominantly driven by ownership structures rather than audience demand. These findings provide robust causal evidence regarding the detrimental impact of media consolidation on information diversity, clarifying the structural determinants of news uniformity across Western media markets.

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Science under Threat? A Natural Experiment in Economics

Aug 14, 2026

This study investigates how political pressure reshapes academic research content. Leveraging the 2025 U.S. sensitive terminology blacklist as an exogenous shock, we employ a difference-in-differences framework combined with textual analysis to quantify the causal effect of federal funding dependence on economists’ scholarly expression for the first time. Results indicate that scholars with high funding reliance significantly avoid discourse on gender, race, and environmental issues, with this chilling effect exhibiting substantial heterogeneity across departmental prestige and author demographics. By innovatively utilizing sensitive word lists to identify political intervention, this paper elucidates the micro-level mechanisms and structural disparities through which resource constraints compromise academic freedom, offering novel empirical evidence on the intersection of political economy and scientific communication.

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Asymptotic Properties of Empirical Quantile-Based Estimators

Jun 30, 2026

This study addresses the estimation of parameters of the form θ₀ = E[F_Y⁻¹∘F_Z(X)] in the “changes-in-changes” model, for which existing methods lack theoretical guarantees when variables are unbounded. The authors construct a plug-in estimator based on empirical quantiles and establish its √n-consistency and asymptotic normality under assumptions weaker than those in the current literature. They further propose a novel consistent estimator for the asymptotic variance. The theoretical analysis leverages empirical process theory and plug-in methods for quantile functions. Monte Carlo simulations demonstrate that the proposed variance estimator substantially outperforms existing alternatives, leading to markedly improved inference accuracy.

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Shock Propagation and Macroeconomic Fluctuations

Mar 05, 2026

This study investigates how firm-level idiosyncratic shocks propagate through production networks to generate aggregate macroeconomic fluctuations and tail risks. To this end, the authors develop a dynamic production network model incorporating an overlapping adjustment mechanism and introduce the concept of “productivity waves” to capture the superposition and interference of shocks across time as they diffuse through the network. By integrating dynamic network theory, spectral analysis, and stochastic process methods, the paper identifies an endogenous source of macroeconomic volatility: the dominant transient eigenvalue of the network—not the tail of the degree distribution—plays the pivotal role. The findings suggest that once the temporal averaging effect of shocks is accounted for, the contribution of granular shocks to actual macroeconomic volatility may be substantially smaller than predicted by static equilibrium models, thereby revising conventional wisdom on the origins of aggregate fluctuations.

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Quotas for scholarship recipients: an efficient race-neutral alternative to affirmative action?

Jul 23, 2025

This study evaluates whether France’s socioeconomic quota policy for scholarship recipients—introduced in 2018 on the Parcoursup platform and explicitly race-neutral—can serve as an effective alternative to race-conscious affirmative action in increasing access for socioeconomically disadvantaged students to highly selective higher education programs. Using a difference-in-differences design combined with matching estimators, the analysis assesses causal impacts on admission outcomes, waitlist ranking, and application behavior. Results show that the quota significantly improves scholarship recipients’ relative positioning on waitlists and increases their probability of admission to more selective programs; however, it does not yield statistically significant gains in final enrollment rates, nor does it alter application strategies or preparatory effort. This paper provides the first causal evidence on socioeconomic-based quotas, demonstrating that such policies can enhance socioeconomic diversity within elite institutions without invoking race-sensitive criteria—thereby offering a novel, legally robust paradigm for inclusive admissions policy design.

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Recent publications

Latest Papers

Who Owns the Online Media?

Aug 14, 2026

This study addresses the challenges of media ownership opacity and accountability by constructing ownership networks for thousands of European and American outlets to measure transnational market concentration. Employing a fixed-pair design, we examine the causal effect of ownership changes on content similarity. Results indicate that over half of media entities are controlled by single owners, with common ownership significantly driving reporting convergence, particularly in the United States. The primary contribution lies in establishing cross-nationally comparable quantitative metrics demonstrating that content homogenization is predominantly driven by ownership structures rather than audience demand. These findings provide robust causal evidence regarding the detrimental impact of media consolidation on information diversity, clarifying the structural determinants of news uniformity across Western media markets.

0 citationsRead paper

Science under Threat? A Natural Experiment in Economics

Aug 14, 2026

This study investigates how political pressure reshapes academic research content. Leveraging the 2025 U.S. sensitive terminology blacklist as an exogenous shock, we employ a difference-in-differences framework combined with textual analysis to quantify the causal effect of federal funding dependence on economists’ scholarly expression for the first time. Results indicate that scholars with high funding reliance significantly avoid discourse on gender, race, and environmental issues, with this chilling effect exhibiting substantial heterogeneity across departmental prestige and author demographics. By innovatively utilizing sensitive word lists to identify political intervention, this paper elucidates the micro-level mechanisms and structural disparities through which resource constraints compromise academic freedom, offering novel empirical evidence on the intersection of political economy and scientific communication.

0 citationsRead paper

Asymptotic Properties of Empirical Quantile-Based Estimators

Jun 30, 2026

This study addresses the estimation of parameters of the form θ₀ = E[F_Y⁻¹∘F_Z(X)] in the “changes-in-changes” model, for which existing methods lack theoretical guarantees when variables are unbounded. The authors construct a plug-in estimator based on empirical quantiles and establish its √n-consistency and asymptotic normality under assumptions weaker than those in the current literature. They further propose a novel consistent estimator for the asymptotic variance. The theoretical analysis leverages empirical process theory and plug-in methods for quantile functions. Monte Carlo simulations demonstrate that the proposed variance estimator substantially outperforms existing alternatives, leading to markedly improved inference accuracy.

0 citationsRead paper

Shock Propagation and Macroeconomic Fluctuations

Mar 05, 2026

This study investigates how firm-level idiosyncratic shocks propagate through production networks to generate aggregate macroeconomic fluctuations and tail risks. To this end, the authors develop a dynamic production network model incorporating an overlapping adjustment mechanism and introduce the concept of “productivity waves” to capture the superposition and interference of shocks across time as they diffuse through the network. By integrating dynamic network theory, spectral analysis, and stochastic process methods, the paper identifies an endogenous source of macroeconomic volatility: the dominant transient eigenvalue of the network—not the tail of the degree distribution—plays the pivotal role. The findings suggest that once the temporal averaging effect of shocks is accounted for, the contribution of granular shocks to actual macroeconomic volatility may be substantially smaller than predicted by static equilibrium models, thereby revising conventional wisdom on the origins of aggregate fluctuations.

0 citationsRead paper

Quotas for scholarship recipients: an efficient race-neutral alternative to affirmative action?

Jul 23, 2025

This study evaluates whether France’s socioeconomic quota policy for scholarship recipients—introduced in 2018 on the Parcoursup platform and explicitly race-neutral—can serve as an effective alternative to race-conscious affirmative action in increasing access for socioeconomically disadvantaged students to highly selective higher education programs. Using a difference-in-differences design combined with matching estimators, the analysis assesses causal impacts on admission outcomes, waitlist ranking, and application behavior. Results show that the quota significantly improves scholarship recipients’ relative positioning on waitlists and increases their probability of admission to more selective programs; however, it does not yield statistically significant gains in final enrollment rates, nor does it alter application strategies or preparatory effort. This paper provides the first causal evidence on socioeconomic-based quotas, demonstrating that such policies can enhance socioeconomic diversity within elite institutions without invoking race-sensitive criteria—thereby offering a novel, legally robust paradigm for inclusive admissions policy design.

0 citationsRead paper