Utilising climate-related narratives in conference call transcripts to measure firm-level exposure to climate risks, we examine the association between such exposure and the corporate cost of debt financing. Using a sample of 21 European countries from 2001 to 2020, we find that firms exposed to greater climate change experience higher debt costs. The impact is even more extreme when using climate-related opportunity and regulatory exposure measures. We further find critical economic channels through which the higher debt costs occur: financial development and credit supplies. Specifically, our findings hold only for firms in weakly developed financial markets and institutions as measured by the new broad-based multi-dimensional financial development indices. We also find some other conditioning factors. Firstly, the higher the carbon intensity level, the greater the debt cost a firm with more climate change exposure must pay. Secondly, debtholders appear to punish firms with high environmental and social disclosure that are exposed to more climate change. Thirdly, the findings are more pronounced in financially constrained firms.

This paper uses individual-level data linking stock investments with work performance to examine how changes in stock market wealth affect worker output. We document that a 10% increase in monthly income from stock market investments is associated with a decrease of 3.8% in the same investor’s next-month work output. The negative output response is not driven by concurrent economic conditions and is unexplained by investor-specific liquidity needs. Consistent with the reference dependence interpretation, the response is short-lived and the effect is stronger when the total income has reached a reference income. Overall, our results highlight a novel channel of transmitting stock market fluctuation through labor supply.

Concerns about excessive mobile phone use among youth are mounting. We present estimates of behavioral and contextual peer effects, along with comprehensive evidence on how students’ own and their peers’ app usage affect academic performance, physical health, and labor market outcomes. Our analysis draws on administrative data from a Chinese university covering three student cohorts over four years. We exploit random roommate assignments, differential exposure to a policy shock (gaming restrictions for minors), and differential exposure to a discrete event (the introduction of a blockbuster video game) for identification. App usage is contagious: a one s.d. increase in roommates’ in-college app usage raises own usage by 5.8%. High app usage is harmful across all measured outcomes. A one s.d. increase in app usage reduces GPAs by 36.2% of a within-cohort-major s.d. and lowers wages by 2.3%. Roommates’ app usage reduces a student’s GPA and wages through both disruptions and behavioral spillovers, generating a total negative effect that exceeds half the magnitude of the impact from the student’s own app usage. Extending China’s three-hour-per-week gaming restriction for minors to college students would boost their initial wages by 0.9%. High-frequency GPS and app usage data show that heavy app users spend less time in study halls, are more frequently late or absent from class, and get less sleep.