We introduce an estimator that measures factor exposures and alphas of individual private equity funds, with minimal assumptions about the fund return data-generating process (DGP). Simulations using varying assumptions about the DGP indicate that our estimator exhibits lower mean-squared-error (bias plus variance) than competing time-series estimators. Applying our model to a newly available commercial dataset, PitchBook, we uncover new findings of economic importance: buyout managers have higher average skill levels than claimed by past studies; portfolios are marked with forward-looking and lagged multiples of factors; and skill and systematic exposures vary significantly over time.

We examine editors’ influence on the scientific content of academic journals by unpacking the role of three major forces: journals’ stated missions, the aggregate supply of and demand for specific topics, and scientific homophily via editorial gatekeeping. In a sample of top biomedical journals, we find the first two forces explain the vast majority of variation in published content. The upper bound of the homophily effect is statistically significant but practically much less important. Marginal changes to the composition of editorial boards do not meaningfully impact journals’ content in the short run. However, we cannot rule out persistent or pervasive frictions in the publication process.

Academic research investigating the economic consequences of tax avoidance is almost always interested in the consequences of intentional, deliberate actions undertaken to reduce taxes relative to income. Therefore, it is crucial that such research distinguishes between intentional and incidental tax avoidance, since failure to do so can create endogeneity concerns and lead to incomplete and incorrect economic inferences. In this paper, we first develop a framework that conceptually defines and distinguishes between intentional and incidental tax avoidance. We highlight that the endogeneity problem arises because intentional tax avoidance is not directly observable. We consider two approaches to mitigating endogeneity concerns and apply these approaches by reexamining two influential studies that investigate the economic consequences of tax avoidance. We show how controlling for past accounting losses eliminates the effect of tax avoidance on credit spreads (Hasan et al. 2014, Journal of Financial Economics, 113 (1), 109–130) and how using an instrumental variables approach changes the sign of the relation between tax sheltering and stock price crash risk (Kim et al., 2011, Journal of Financial Economics, 100 (3), 639–662). Overall, our paper punctuates the importance of both (1) conceptually distinguishing between incidental and intentional tax avoidance and (2) econometrically addressing the challenges that arise when empirical differentiation between incidental and intentional tax avoidance is important to the research question.

The growing popularity of home-sharing platforms such as Airbnb, partly fueled by hosts’ ability to evade local taxes and regulations, has been shown to elevate housing costs by reallocating long-term housing units to the short-term rental market. This study assesses whether enhanced tax enforcement can mitigate this trend. We analyze staggered tax collection agreements between Airbnb and Florida counties, wherein Airbnb collects taxes from the hosts directly. Using a difference-in-differences methodology, we find these agreements significantly slow the growth of housing costs, highlighting the importance of tax policy in addressing the sharing economy’s influence on housing affordability.

We examine the relation between debt contract renegotiation costs and contract design. We use a plausibly exogenous shock to expected renegotiation costs arising from a change in the taxation of debt renegotiations to show that, as renegotiation costs decline, the maturity of debt contracts lengthens, the initial likelihood of covenant violation increases, and the use of performance pricing provisions becomes less frequent. The evidence indicates that ex ante allocation of cash flow rights and ex post reallocation of decision rights through renegotiation are local substitutes, where the preference for one mechanism versus the other depends, at least in part, on renegotiation costs. Data Availability: Data are available from the public sources cited in the text.

We propose principled prediction intervals to quantify the uncertainty of a large class of synthetic control predictions (or estimators) in settings with staggered treatment adoption, offering precise non-asymptotic coverage probability guarantees. From a methodological perspective, we provide a detailed discussion of different causal quantities to be predicted, which we call causal predictands, allowing for multiple treated units with treatment adoption at possibly different points in time. We illustrate our methodology with an empirical application studying the effects of economic liberalization on real GDP per capita for Sub-Saharan African countries. Companion software packages are provided in Python, R, and Stata.

Is government guiding the invisible hand at the top of the labor market? We use new administrative data to measure physicians’ earnings and estimate the influence of health care policies on these earnings, physicians’ labor supply, and the allocation of talent. Combining the administrative registry of U.S. physicians with tax data, Medicare billing records, and survey responses, we find that physicians’ annual earnings average $350,000 and make up 8.6% of national health care spending. Business income makes up one-quarter of earnings and is systematically underreported in survey data. Earnings increase steeply early in the career, and there are major differences across specialties, regions, and firm sizes. The geographic pattern of earnings is unusual compared with other workers. We argue that these patterns reflect policy choices to subsidize demand for physician care, amplified by restrictions on physician entry, especially in certain specialties. Health policy has a major impact on the margin: 25% of physician fee revenue driven by Medicare reimbursements accrues to physicians personally. Physicians earn 8% of public money spent on insurance expansion. These policies in turn affect the type and quantity of medical care physicians supply, retirement timing, and the allocation of talent across specialties.

This research evaluates whether reporting incentives and consequences change under the new lease accounting standard. Under prior guidance (SFAS 13), we predict and find firms with high financing cost sensitivities to leverage have greater incentive to finance investments with operating leases. Under the new lease accounting standard (ASU 2016-02), we predict and find this leverage incentive remains but is reduced, consistent with the FASB’s objective to limit opportunities to structure lease contracts for balance sheet purposes. Under ASU 2016-02, we also predict and find that the leverage incentive encourages firms to reduce operating lease liabilities by decreasing the duration of minimum lease payments. Lastly, we predict and find that firms use fewer operating leases under both SFAS 13 and ASU 2016-02 when managers’ income objectives exclude depreciation and/or interest expense. These findings suggest reporting incentives remain post ASU 2016-02 that encourage firms to structure leases to achieve accounting outcomes. Data Availability: This study uses licensed data from a variety of sources (see Appendix A for a detailed list of providers).

Global markets are moving toward requiring firms to track and report greenhouse gas emissions across their value chain. This includes self-generated emissions (i.e., Scope 1), emissions from power providers (i.e., Scope 2), and emissions from upstream suppliers and downstream parties (i.e., Scope 3). Yet, obtaining reliable emissions data is a complex task that often relies on cumbersome legacy processes and becomes especially challenging with upstream and downstream emissions. Using the Design Science Research Methodology, we propose and prototype (early-stage) a technological solution that uses blockchain, non-fungible tokens, and smart contracts to track and report greenhouse gas emissions across a firm’s value chain. The proposed model demonstrates how these tools can create a reliable classification and provenance of emissions that all value chain members can access for reporting purposes. Experts in the field evaluate the proposed model, find it technologically feasible, and call attention to some of its challenges.

At‐scale field experiments at major U.K. banks show that automatic enrollment into “just‐in‐time” text alerts reduces unarranged overdraft and unpaid item charges 17% to 19% and arranged overdraft charges 4% to 8%, implying annual market‐wide savings of £170 million to £240 million. Incremental benefits from “early‐warning” alerts are statistically insignificant, although economically significant effects are not ruled out. Prior to the experiments, over half of overdrafts could have been avoided by using lower‐cost liquidity available in savings and credit card accounts. Alerts help consumers achieve less than half of these potential savings.