学术论文

We compile a novel data set on mandatory environmental, social, and governance (ESG) disclosure around the world to analyze the stock liquidity effects of such disclosure mandates. We document a positive effect of ESG disclosure mandates on firm-level stock liquidity. The effects are strongest if the disclosure requirements are implemented by government institutions, not on a comply-or-explain basis, and coupled with strong enforcement by informal institutions. Firms with weaker information environments benefit more from ESG disclosure mandates. Our results support the view that ESG disclosure regulation improves the information environment and has beneficial capital market effects.

This paper studies whether firms opportunistically make proprietary claims in mandatory environmental disclosure programs with trade secret exemption rules. Examining the mandatory chemical disclosure program in the fracking industry, I find evidence of opportunistic withholding of information among operators that are less likely to have trade secrets. Specifically, I find that these operators claim fewer chemicals as trade secrets when the operating site is in close proximity to water quality monitors. This is only observed among publicly traded operators that face a higher cost of societal backlash when disclosing pollutant information. Further analyses suggest that these operators are concerned about external environmental monitoring, which deters them from opportunistic information withholding. Regarding public and private operators that are more likely to have trade secrets, I do not find strong evidence that their information withholding varies with the monitoring conditions.

This paper incorporates ambiguity and information processing constraints into the He and Krishnamurthy (2012) model of intermediary asset pricing. Financial intermediaries possess greater information processing capacity than households. In response, households optimally choose to delegate their investment decisions. The contractual relationship between households and intermediaries is subject to a moral hazard friction, which results in a financial constraint. We show that ambiguity aversion not only amplifies households' incentives to delegate but also tightens the financial constraint. The calibrated model can quantitatively explain both the unconditional and time-varying moments of observed asset prices while endogenously generating an empirically consistent crisis frequency.

This paper studies how social media affects the dynamics of protests and strikes in China during 2009–2017. Based on 13.2 billion microblog posts, we use tweets and retweets to measure social media communication across cities and exploit its rapid expansion for identification. We find that, despite strict government censorship, Chinese social media has a sizeable effect on the geographical spread of protests and strikes. Furthermore, social media communication considerably expands the scope of protests by spreading events across different causes (e.g., from anticorruption protests to environmental protests) and dramatically increases the probability of far‐reaching protest waves with simultaneous events occurring in many cities. These effects arise even though Chinese social media barely circulates content that explicitly helps organize protests.

We present a tractable model that accommodates asset-market sentiment in a standard Dynamic Stochastic General Equilibrium (DSGE) setting, allowing us to quantitatively evaluate sentiment-driven macroeconomic fluctuations. In our model, changes in households' perceived uncertainty about housing prices lead to self-fulfilling fluctuations in housing prices, which then impact investment and output through entrepreneurs' collateral constraints. Household sentiment shocks hence are transmitted and propagated to the macroeconomy, generating boom–bust cycles. Uncertainty, housing prices, and the real economy are linked. Quantitatively, the sentiment shock in the form of risk–panic is a crucial driver of business cycle fluctuations despite the presence of various competing shocks.

Online video platforms face the challenge of balancing the needs of their users with those of their advertisers. Although users typically prefer to have less intrusive ads, advertisers aim to effectively catch user attention. This paper investigates how the provision of ad choice affects the effectiveness of video advertising. We argue that allowing users to choose an ad to view may trigger a “conjecture-formation-and-confirmation” process that motivates users to pay more attention to the selected ad. Two online experiments and four laboratory experiments are conducted to test the theorized underlying mechanism of the ad choice effect. Study 1 finds when users are unfamiliar (versus familiar) with the content of ad options (i.e., they need to make conjectures about ad content), ad choice is more likely to increase user attention to the chosen ad. Study 2 and Study 3 show that the impact of ad choice on user attention is more likely to be positive when users are enabled to make conjectures about ad content, such as when choice options provide more relevant information about ad content. Study 4a and Study 4b provide more direct support for the underlying mechanism by showing that the ad choice effect is attenuated when users cannot form conjectures about ad content at the choice stage. Study 5 further demonstrates that the positive effect of ad choice is robust across different ad settings. Taken together, these studies show ad choice is more likely to boost the effectiveness of video advertising when the “conjecture-formation-and-confirmation” process is triggered.

Innovative firms must trade off disclosing to investors and maintaining secrecy from competitors. We study this trade-off in a sample of IP licenses mandatorily disclosed by US public firms, whose contents can be temporarily redacted. Hand classifying the redacted information, we find that firms with valuable IP in competitive markets redact IP information more often. Markets react positively to the redaction of IP information, consistent with theoretical predictions rationalizing a separating equilibrium in which nondisclosure signals more valuable IP. Our results suggest that credible nondisclosure partially resolves information frictions for innovative public firms when facilitated by sophisticated investors.

This study estimates the direct and spillover effects of a free education programme on educational outcomes in rural China. We find that, although the programme encourages more eligible children to attend secondary school, it also leads to a decrease in high school enrolment among ineligible girls with eligible siblings, as they are more likely to choose work instead. In the long run, males exposed to free education have more years of schooling than their non-exposed counterparts. However, such effect is not found among females. This disparity suggests that a gender-neutral policy may have an asymmetric effect between males and females because of spillover effects through intra-household resource allocation.

We build on AGM belief revision (Alchourrón et al. (1985)) and propose a class of updating rules called pragmatic rules. Pragmatic updating applies to multiple priors and requires that the agent's posteriors be the subset of her priors under which the realized event occurs with probability 1, if such priors exist. We construct a propositional language based on qualitative probability and demonstrate the strong relation between belief updating rules and belief revision rules in this language. We show that an updating rule is consistent with AGM belief revision if and only if it is pragmatic. While maximum likelihood updating is pragmatic in general, full-Bayesian updating is not. We characterize maximum likelihood updating within the AGM framework, and show that full-Bayesian updating can be obtained by dropping one of AGM's postulates.