Prior research has pointed to differences in organizational capital as a reason for the persistent performance discrepancies among otherwise similar firms. In this paper, we develop and validate a new measure of organizational capital. Based on over a million crowd‐sourced employee reviews scraped from Glassdoor, we construct the measure of organizational capital at the firm‐year level using the word embedding model and ChatGPT‐generated synthetic reviews. Our measure varies over time in accordance with macro trends, and differs both across and within firms, reflecting firm heterogeneity and major internal changes. We validate our measure by testing empirical predictions of the properties of organizational capital discussed in prior literature. Our findings suggest that this measure captures a slowly evolving intangible asset that is significantly associated with firm performance and top management's influence, aligning with the conceptualization of organizational capital by Dessein and Prat. We further showcase applications of our measure in accounting, economics, finance, and management literature. Taken together, the paper provides implications for various stakeholders who are interested in assessing and managing firms' organizational capital.

This study examines the relationship between corporate asset growth rates and bond performance, uncovering a strong inverse relationship between the two. Higher asset growth increases asset value, potentially offering greater protection to bondholders and leading to lower bond returns. By decomposing bond returns into initial yields and subsequent yield changes, our analysis supports this expectation and suggests that investors may overreact to asset growth, as investor sentiment significantly influences bond yields in response to it. Finally, drawing on insights from leverage-based Q-theory, we examine how stock returns respond to asset growth, accounting for its effect on bond performance.

We study how analysts' inherited cultural attitudes to time orientation affect their production of long‐term information and the profitability of their stock recommendations. We find that analysts from long‐term‐oriented cultures exhibit a longer forecast horizon and issue more long‐term forecasts. They also produce more accurate long‐term forecasts and ask more long‐term‐focused questions during conference calls, eliciting greater long‐term disclosure from managers. In addition, they are more likely to use discounted valuation models that explicitly incorporate expectations about firms' long‐term prospects. Further, their stock recommendations are more profitable, consistent with their production of long‐term information enhancing valuation. Our findings highlight the role of cultural long‐term orientation in shaping analysts' information production in capital markets.

We examine how digital disruption affects bank competition using the staggered rollout of 3G mobile networks. 3G expansion increased mobile banking adoption among tech‐savvy households, reducing branch networks—especially in younger counties. Banks' strategies diverged: Less branch‐reliant banks closed branches and competed on price, while more branch‐reliant banks maintained branches but raised spreads. A structural model shows that perceived digital service improvements among younger consumers drove these shifts, reducing welfare for older savers. Counterfactuals demonstrate that subsidizing adoption for older savers can cost‐effectively reduce these disparities, facilitating a smoother digital transition.

This paper utilizes wealth shocks from winning lottery prizes to examine the causal effect of financial resources on fertility. We employ extensive panels of administrative data encompassing over 0.4 million lottery winners in Taiwan and implement a triple-differences design. Our analyses reveal that a substantial lottery win can significantly increase fertility, the implied wealth elasticity of which is around 0.06. Moreover, the primary channel through which fertility increases is by prompting first births among previously childless individuals. Finally, our analysis reveals that approximately 25% of the total fertility effect stems from increased marriage rates following a lottery win.