Journal of Financial Economics2018129(1), 46-68open access
The frequency with which firms adjust output prices helps explain persistent differences in capital structure across firms. Unconditionally, the most flexible-price firms have a 19% higher long-term leverage ratio than the most sticky-price firms, controlling for known determinants of capital structure. Sticky-price firms increased leverage more than flexible-price firms following the staggered implementation of bank deregulation across states and over time, which we use in a difference-in-differences strategy. Firms’ frequency of price adjustment did not change around the deregulation.
We examine whether Delaware is a domestic tax haven. We find that taxes play an economically important role in determining whether U.S. firms locate subsidiaries in Delaware and that a Delaware-based state tax avoidance strategy lowers state effective tax rates by between 0.7 and 1.1 percentage points, on average. The tax savings represent a 15–24% decrease in the state income tax burden and translate to an increase in net income of 1.04–1.47%. However, we find that the tax benefits of Delaware tax strategies are diminishing over time in response to initiatives by state governments to limit multistate tax avoidance.
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.
We quantify the immediate net effect of the Tax Cuts and Jobs Act (TCJA) on the tax burden of corporate profits for public US corporations. We find similar reductions in effective tax rates for domestic and multinational firms, yet the entirety of multinational tax savings stemmed from tax savings on their domestic, not foreign, earnings. We find no significant change in the federal tax burden on foreign earnings neither on average norspecifically for firms most likely to be subject to new anti‐abuse provisions. We find some evidence that firms not targeted by anti‐abuse provisions saw reductions in their federal tax burden on foreign income. Overall, while the tax burden on domestic income decreased significantly, our findings suggest the tax burden on the foreign earnings of US multinationals is largely unaffected despite the overhaul of the international tax system. Importantly for US multinationals' investment decisions, while foreign income was heavily tax‐favored prior to tax reform, we find that foreign and domestic incomes are similarly taxed after TCJA enactment.
Data analytics is transforming our global markets and significantly impacting the financial reporting environment. We investigate how auditors, company managers, and regulation interact with data analytics and one another to affect the diffusion (i.e., development and spread) of data analytics throughout the financial reporting environment. We interview company managers and their audit partners, as well as additional stakeholders, including regulators. We interpret findings from our interviews using theory that highlights the importance of dynamic interactions between people and their environments, which include the prevailing rules (e.g., regulatory guidance). Our findings contribute to the accounting literature and practice by revealing three areas of conflict emerging from stakeholders' disparate preferences for data analytics. First, we uncover growing tensions between managers and audit partners regarding audit fees. Second, we find that managers and auditors believe the lack of accounting regulation specific to data analytics causes confusion and frustration. Finally, auditors report that they strategically leverage data analytics to provide clients with business‐related insights. However, regulators voice concerns that this practice might impair auditor independence and reduce audit quality. These areas of conflict suggest a need to revisit key tensions surrounding the audit function in a contemporary context characterized with significant technological shift.
We develop a novel graphical paradigm of a strict-dominance-solvable game to study the developmental trajectory of steps of reasoning between 8 years old and adulthood. Most participants play the equilibrium action either always or only when they have a dominant strategy. Although age is a determinant of equilibrium choice, some very young participants display an innate ability to play at equilibrium. Finally, the proportion of equilibrium play increases significantly until fifth grade and stabilizes afterward, suggesting that the contribution of age to equilibrium play vanishes early in life.
Journal of Political Economy2017125(1), 1-39open access
We analyze Medicare's influence on private insurers' payments for physicians' services. Using a large administrative change in reimbursements for surgical versus medical care, we find that private prices follow Medicare's lead. A $1.00 increase in Medicare's fees increases corresponding private prices by $1.16. A second set of Medicare fee changes, which generates area-specific payment shocks, has a similar effect on private reimbursements. Medicare's influence is strongest in areas with concentrated insurers and competitive physician markets, consistent with insurer-doctor bargaining. By echoing Medicare's pricing changes, these payment spillovers amplify Medicare's impact on specialty choice and other welfare-relevant aspects of physician practices.
This paper is a statistical analysis of the manner in which the Federal Reserve determines the level of the federal funds rate target, one of the most publicized and anticipated economic indicators in the financial world. The paper introduces new statistical tools for forecasting a discrete‐valued time series such as the target and suggests that these methods, in conjunction with a focus on the institutional details of how the target is determined, can significantly improve on standard vector autoregression forecasts of the effective federal funds rate. We further show that the news that the Fed has changed the target has statistical content substantially different from the news that the Fed failed to make an anticipated target change, causing us to challenge some of the conclusions drawn from standard linear VAR impulse‐response functions.
Most models of trade in speculative markets assume that agents interpret public information identically. The authors provide empirical evidence on the relation between the volume of trade and stock returns around public announcements, and they argue that the evidence is inconsistent with this assumption. They then develop a model of trade around public announcements that incorporates differential interpretations and is consistent with the observed volume-return relation. Then the authors test the standard model of belief revision underlying most models of trade using stock brokerage research analysts' earnings forecasts. The hypothesis of identical interpretations seems inconsistent with the forecast revisions in these data.