This paper proposes a robust method for semiparametric identification and estimation in panel multinomial choice models, where we allow for infinite-dimensional fixed effects that enter into consumer utilities in an additively nonseparable way, thus incorporating rich forms of unobserved heterogeneity. Our identification strategy exploits multivariate monotonicity in parametric indices, and uses the logical contraposition of an intertemporal inequality on choice probabilities to obtain identifying restrictions. We provide a consistent estimation procedure, and demonstrate the practical advantages of our method with Monte Carlo simulations and an empirical illustration on popcorn sales with the NielsenIQ data.

We introduce a novel measure of CEO depression by applying machine learning models that analyze vocal acoustic features from CEOs' conference call recordings. Our research was preregistered via the Journal of Accounting Research 's registration‐based editorial process. In this study, we validate this measure and examine associated factors. We find that greater firm risk is positively associated with CEO depression, whereas higher job demands are negatively associated with CEO depression. Female and older CEOs show a lower likelihood of depression. Using this novel measure, we then explore the relationship between CEO depression and career outcomes. Although we do not find any evidence that CEO depression is associated with CEO turnover, we find some evidence that turnover‐performance sensitivity is higher among depressed CEOs. We also find limited evidence of higher compensation and higher pay‐performance sensitivity for depressed CEOs. This study provides new insights into the relationship between CEO mental health and career outcomes.

Feedback effects from asset prices to firm cash flows have been empirically documented. This finding raises a question for asset pricing: How are asset prices determined if price affects fundamental value, which in turn affects price? In this environment, by buying assets that others are buying, investors ensure high future cash flows for the firm and subsequent high returns for themselves. Hence, investors have an incentive to coordinate, which may generate self‐fulfilling beliefs and multiple equilibria. Using insights from global games, we pin down investors' beliefs, analyze equilibrium prices, and show that strong feedback leads to higher excess volatility.

Using exogenous shocks on the ability to issue seasoned equity offerings (SEOs), we show SEOs lead to a higher employee skill composition, that is, a lower (higher) proportion of low (high) skilled workers. The decrease in low-skilled workers exceeds the increase in high-skilled workers, resulting in reduced employment at the firm level. These effects are more significant when firms invest more in technology following SEOs and face greater financial constraints before SEOs, suggesting that SEOs relieve budget constraints on technology investments. These findings demonstrate that while external equity financing helps upgrade technology to improve productivity, it has a dark side for low-skilled workers.

This paper investigates whether and how financial restatements affect the market for corporate control. We show that firms that recently filed financial restatements are significantly less likely to become takeover targets than a propensity score matched sample of non-restating firms. For those restating firms that do receive takeover bids, the bids are more likely to be withdrawn or take longer to complete than those made to non-restating firms. Finally, there is some evidence that deal value multiples are significantly lower for restating targets than for non-restating targets. Our analyses suggest that the information risk associated with restating firms is the main driver of these results. Overall, this study finds that financial restatements have profound consequences for the allocation of economic resources in the market for corporate control. JEL Classifications: D82; G14; G34; M41. Data Availability: Data are available from sources identified in the paper.

Sell‐side equity analysts serve as external monitors, yet evidence on how they fulfill this monitoring role remains limited. We examine whether analysts utilize earnings conference calls to monitor firms suspected of real earnings management and assess the implications of such monitoring. Our findings reveal that analysts are more likely to ask about discretionary expenses during conference calls of firms suspected of lowering these expenses to meet or narrowly beat analysts' expectations. These questions are associated with lower subsequent EPS forecast revisions, indicating a potential cost to managers. Moreover, analysts' questions on discretionary expenses to suspect firms are linked to subsequent increases in discretionary expenses and a lower likelihood of meeting or narrowly beating analysts' earnings expectations in the following 2 years. Overall, our results suggest that analysts' active participation in earnings conference calls potentially discourages managers from engaging in real earnings management.

We study a noisy rational expectations equilibrium in a multi-asset economy populated by informed and uninformed investors and noise traders. The assets can include state contingent claims such as Arrow–Debreu securities, assets with only positive payoffs, options or other derivative securities. The probabilities of states depend on an aggregate shock, which is observed only by the informed investor. We derive a three-factor CAPM with asymmetric information, establish conditions under which asset prices reveal information about the shock, and show that information asymmetry amplifies the effects of payoff skewness on asset returns. We also find that volatility derivatives make incomplete markets effectively complete, and their prices quantify market illiquidity and shadow value of information to uninformed investors.

This paper examines the impacts of technology training and buyer-supplier relationship on technology adoption and quality upgrading. We randomly varied subjects of each training group across farmer-exporter clusters—farmers, exporters, both, or none—and provided training on Good Agricultural Practices (GAP). We find that training farmers enhances technology adoption and quality upgrading. Yet, the effects are much stronger when farmers and exporters are trained together. We document a plausible mechanism to explain this finding: joint training improves buyer-supplier relationship, which facilitates contract trade between farmers and exporters. We find no effect of GAP certification eligibility on technology adoption.