Venture philanthropy presents a new model of research funding that is particularly helpful to those fighting orphan diseases, which actively manages the commercialization process to accelerate scientific progress and material outcomes. This paper begins by documenting the growing importance of foundations as a source of funding academic research as traditional funding from industry and government sources decline.
State initiatives that build innovation capacity by supporting local academic research, attracting eminent scholars, and building research excellence have become prominent among the 50 states over the past 30 years. This article focuses on three programs: University Research Grants, Eminent Scholars, and Centers of Excellence.
Widespread adoption of electronic medical record (EMR) systems is increasing. EMR implementation can be costly and typically requires workflow redesign. To our knowledge, no studies to date have examined the impact of EMR implementation using advanced cost accounting methods or the impact of its implementation on orthopaedic surgeons in an outpatient setting. Time-driven activity-based costing (TD-ABC) was used to evaluate the effect of EMR implementation in an outpatient adult reconstruction clinic.
This study examines whether key characteristics of analysts’ forecasts—timeliness, accuracy, and informativeness—change when investor demand for information is likely to be especially high, i.e., during periods of high uncertainty. Findings reveal that when uncertainty is high, analysts’ forecasts are more timely but less accurate. However, analysts’ forecasts are also more informative to the market, which is consistent with investors’ demand for timely information, even if it is less accurate.
We document marked trends in 10-K disclosure over the period 1996–2013, with increases in length, boilerplate, stickiness, and redundancy and decreases in specificity, readability, and the relative amount of hard information. We use Latent Dirichlet Allocation (LDA) to examine specific topics and find that new FASB and SEC requirements explain most of the increase in length and that 3 of the 150 topics—fair value, internal controls, and risk factor disclosures—account for virtually all of the increase. These three disclosures also play a major role in explaining the trends in the remaining textual characteristics.
This study explores the process of organizational change by examining localized social learning in organizational subunits. Specifically, we examine participation in university technology transfer, a new organizational initiative, by tracking 1,780 faculty members, examining their backgrounds and work environments, and following their engagement with academic entrepreneurship.
The importance of geographic location to different types of industries is tested for by linking the geographic concentration in manufacturing industries to industry specific characteristics, most notably the relative importance of knowledge spillovers. The spatial distribution of innovative capacity as well as the geographic concentration of production are examined.
We directly test the reliability and relevance of investee fair values reported by listed private equity funds (LPEs). In our setting, disaggregated fair value measurements are observable for funds’ investees; and investee accounting fundamentals are also publicly disclosed. We find that LPE fair value measurements reflect equity book value and net income in a manner consistent with stock market pricing of listed companies.
This study analyzes whether fair value estimates of fund net asset values (NAVs) produced by private equity managers are accurate and unbiased predictors of future discounted cash flows (DCF). We exploit the fact that private equity funds have finite lives to compare reported NAVs to DCFs based on realized cash flows for 384 venture capital (VC) funds and 195 buyout funds spanning 1988-2016.
We discuss the evolution of research on textual attributes in accounting and suggest potential directions for future research using Cazier and Pfeiffer (2017) to illustrate the challenges and opportunities in the literature. We categorize the literature based on whether a given textual attribute is assumed to be “discretionary” versus “nondiscretionary” and whether it is assumed to be “helpful” versus “harmful.” The literature to date has been largely descriptive, with limited focus on causality, and we argue that there are substantial opportunities for research that better isolate the discretionary components of textual disclosure, as well as identifying specific contexts in which a given attribute is more likely to be helpful than harmful.
Three-tiered private-label (PL) portfolio strategies (low-quality tier: economy PLs, mid-quality tier: standard PLs, and top-quality tier: premium PLs) are gaining interest around the world. Drawing on the context-effects literature, the authors postulate how the introduction of economy and premium PLs may affect the choice of mainstream-quality and premium-quality national brands (NBs) and the choice of the retailer's existing PL offering.
Cardiovascular disease has become a leading cause of death for patients with paraplegia. Acute myocardial infarction in patients with paraplegia has not been described in the literature. This study investigates clinical features, management strategies, and outcomes of these patients.
We investigate the spatial dependence between commercial and residential mortgage defaults. A new class of observation-driven frailty factor models is introduced to do so. The idea of dynamic parameters embedded in the class of GAS models is utilized to estimate dynamic models of default risk with potentially multiple factors which are driven by stratified grouping of large panels of mortgage loan records. The score dynamics in the models is driven by so-called generalized residuals, and have therefore a fairly intuitive interpretation of ARMA-like dynamics. The proposed models are computationally easy to implement and therefore attractive in big data applications, something that gives them a considerable advantage in comparison to the typical latent factor frailty models proposed in the literature.
Recent health policy efforts have attempted to promote constructive conversations regarding cost-effectiveness by increasing transparency for both patients and physicians. Spurred by access and cost challenges resulting from increasing pharmaceutical prices, the Centers for Medicare & Medicaid Services (CMS) proposed a rule that would require direct-to-consumer prescription drug advertisements to include the list price for a typical 30-day course of therapy, according to their weighted average cost. This Viewpoint discusses implementing price transparency for health care products and services where physicians spend an increasing proportion of their time—in electronic health records (EHRs).
When the human mind is free to roam, its subjective experience is characterized by a continuously evolving stream of thought. Although there is a technique that captures people’s streams of free thought—free association—its utility for scientific research is undermined by two open questions: (a) How can streams of thought be quantified? (b) Do such streams predict psychological phenomena?
This paper presents an easy-to-use measure of patent scope that is grounded both in patent law and in the practices of patent attorneys. We validate our measure by showing both that patent attorneys’ subjective assessments of scope agree with our estimates, and that the behavior of patenters is consistent with it.
This paper evaluates the role of various volatility specifications, such as multiple stochastic volatility (SV) factors and jump components, in appropriate modeling of equity return distributions.
The paper evaluates the performance of several recently proposed tests for structural breaks in the conditional variance dynamics of asset returns. The tests apply to the class of ARCH and SV type processes as well as data‐driven volatility estimators using high‐frequency data.
To enhance our understanding of emerging markets, we study a data set from the Casablanca stock exchange containing all the transaction records over a long span. The exchange was included in 1996 in the International Finance Corporation (IFC) data base roughly 3 years after important market reforms.