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Early Childhood Exposure to Health Insurance and Adolescent Outcomes: Evidence from Rural China

Wei Huang, Hong Liu, Jul 19, 2023

We examine the impact of early-life exposure to public health insurance, the New Cooperative Medical Scheme (NCMS), on outcomes in adolescence in rural China.

“To Go Electric or to Burn Coal? A Randomized Field Experiment of Informational Nudges”

Hanming Fang, King King Li, Peiyao Shen, Feb 07, 2024

We conducted a randomized field experiment of informational nudges in northern China to investigate the potential obstacles that may hinder households from adopting cleaner heating, and evaluate the effectiveness of simple SMS nudges in encouraging the transition to electric heating.

How Does Salient Academic Rank Affect Student Performance? Insights from a Chinese Middle School Study

Rigissa Megalokomomou, Yi Zhang, Nov 20, 2024

This article reveals interesting insights into the effects and mechanisms of achievement rank when it becomes salient to students and their parents.

Labor Market Discrimination against Family Responsibilities: A Correspondence Study with Policy Change in China

Haoran He, Sherry Xin Li, Yuling Han, Jan 24, 2024

China shifted its controversial one-child policy (1979–2015) to a two-child policy in 2016. We take advantage of the unexpected timing of this policy change and the heterogeneities in the pre-change environment to investigate labor market discrimination against expected family responsibilities.

Digital Distractions with Peer Influence: The Impact of Mobile App Usage on Academic and Labor Market Outcomes

Panle Jia Barwick, Siyu Chen, Chao Fu, Teng Li, Jan 08, 2025

We present the first comprehensive evidence of how app usage affects academic performance and early career outcomes. App usage is contagious: a one standard deviation (around 3.5 hours per day) increase in roommates’ app usage raises an individual’s own app usage by 5.8%, with substantial heterogeneity across students. A one standard deviation increase in app usage reduces GPAs by 36.2% of a within-cohort-major standard deviation and lowers wages by 2.3%. The effect of roommates’ app usage is over half the size of an individual’s own usage effect. High-frequency GPS data reveal that high app usage crowds out time in study halls and increases late arrivals at and absences from lectures.