Abstract We provide evidence that investors with leverage constraints demand leverage for the sake of leverage. We study the equity closed-end fund (CEF) market and document a strong positive relation between fund leverage and CEF premiums, indicating that investors pay a relative premium for leverage. We perform a quasi-natural experiment and identify leverage as a causal driver of the premium. Leverage changes do not signal improved fund performance. Instead, the only benefit to investors of increased leverage is amplified exposure via greater volatility and risk exposure. We supply external validity by relating our results to the betting-against-beta factor. (JEL G12, G14, G32)

I review empirical research on the relation between capital markets and financial statements. The principal sources of demand for capital markets research in accounting are fundamental analysis and valuation, tests of market efficiency, and the role of accounting numbers in contracts and the political process. The capital markets research topics of current interest to researchers include tests of market efficiency with respect to accounting information, fundamental analysis, and value relevance of financial reporting. Evidence from research on these topics is likely to be helpful in capital market investment decisions, accounting standard setting, and corporate financial disclosure decisions.

The paper analytically evaluates alternative specifications of price-earnings regressions when prices lead earnings, i.e., reflect information about future earnings that is not reflected in the past time series of earnings. Because prices lead earnings, the specification using the earnings-level-deflated-by-price variable in a price-earnings regression is ‘better’, in terms of bias in the estimated earnings response coefficient and explanatory power, than specifications using earnings-change-deflated-by-price and earnings-deflated-by-lagged-earnings variables. An accurate proxy for unexpected earnings, however, outperforms the earnings-level- and earnings-change-deflated-by-price specifications.

This research examines whether analysts' earnings forecasts incorporate information in price changes. Even if the forecasts do not explicitly depend upon price changes,there should nevertheless be a positive association between analysts' forecast revisions and prior price changes. Moreover, if analysts incorporate only their private information in formulating a forecast and ignore price changes, then the likelihood that their estimate is less than (greater than) the realization increases following price increases (decreases). Empirical results are consistent with these conjectures and indicate that analysts' forecasts do not fully reflect the information in prior price changes.

Abstract This paper studies the impact of career concerns on technological change by analyzing the adoption of digital cinematography in the U.S. motion picture industry. This setting allows us to collect rich data on the adoption of this new technology at the project level (i.e., movie) and on the career of the main decision-maker (i.e., director). We find that early-career directors played a leading role in the adoption of digital technology, an effect that appears to be explained by career concerns, rather than alternative motives we consider and analyze. Technological savviness also plays a role. (JEL: G30, O33, L82, M50)Received: June 25, 2025Editor: J. Anthony Cookson Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

I study how teachers’ assigned job tasks—the practices they are asked to use in the classroom—affect the returns to math skills in teacher productivity. The results demonstrate the importance of distinguishing between workers’ skills and job tasks. I examine a randomized trial of different approaches to teaching math, each codified in a set of day-to-day tasks. Teachers were tested to measure their math skills. Teacher productivity—measured by student test scores—is increasing in math skills when teachers use conventional “direct instruction”: explaining and modeling rules and procedures. The relationship is weaker, perhaps negative, for newer “student-led” methods.

Data are used from the 1984–2016 Displaced Workers Surveys (DWS) to investigate the incidence and consequences of job loss, 1981–2015. These data show a record high rate of job loss in the Great Recession, with serious employment consequences for job losers, including very low rates of re-employment and difficulty finding full-time employment. The average reduction in weekly earnings for job losers making a full-time–full-time transition are relatively small, with a substantial minority reporting earning more on their new job than on the lost job. Most of the cost of job loss comes from difficulty finding new full-time employment.

This research examines the determinants of the match between high school seniors and postsecondary institutions in the United States. I model college application decisions as a nonsequential search problem and specify a unified structural model of college application, admission, and matriculation decisions that are all functions of unobservable individual heterogeneity. The results indicate that black and Hispanic representation at all 4‐year colleges is predicted to decline modestly—by 2%—if race‐neutral college admissions policies are mandated nationwide. However, race‐neutral admissions are predicted to decrease minority representation at the most selective 4‐year institutions by 10%.

Military deployments and job assignments provide an opportunity to estimate the impact of parental absences and household relocations on children’s academic achievement. Combining U.S. Army personnel data with children’s standardized test scores from Texas, I find that parental absences adversely affect children’s test scores by a tenth of a standard deviation. Likewise, household relocations have modest negative effects on children’s test scores. Both parental absences and household relocations have the greatest detrimental effect on test scores of children with single parents, children with mothers in the army, children with lower‐ability parents, and younger children.