An inside look at the plenary sessions of the fourth annual Frontiers of Entrepreneurship conference, which convened practitioners, policymakers and academics to discuss the most challenging issues in the field of entrepreneurship and set the agenda for future research and policy.
UNC Kenan-Flagler’s John Gallemore and co-authors found that, among other things, the complexity of the U.S. tax system has a disproportionately negative effect on small, domestic-owned and private firms.
...to be connected with one of our experts, please contact Kenan Institute External Affairs Director MacKenzie Babb. Data Dashboard: Reopening Amid COVID-19 The Kenan Institute and the North Carolina CEO...
To what extent do consumers boycott in response to corporate tax activities? Anecdotes suggest potential consumer backlash is a meaningful deterrent to corporate tax planning, and the tax literature has developed expectations that these boycotts happen. But empirical evidence on their existence and impact is limited. We undertake a comprehensive study to examine how consumers’ purchase behavior relates to corporate tax activities, triangulating across several designs, samples, and measures.
We propose a method for decomposing private fund portfolio performance into effects from timing, strategy selection, geographic focus, sizing of fund allocation, and fund selection attributes.
How leaders can recast innovation's toughest trade-offs—efficiency vs. flexibility, consistency vs. change, product vs purpose—as productive tensions.
Professor Paige Ouimet has been named executive director of the Kenan Institute of Private Enterprise at UNC Kenan-Flagler Business School effective Aug. 21. She succeeds Professor Greg Brown, who led the institute’s growth for eight years.
The recent outbreak of COVID-19 has prompted governments—as well as public and private organizations—to adopt protective measures to prevent the spread of the virus and to mitigate its effects. Included in these measures are the processing of information on the movement of employees and suppliers, as well as sensitive health data. UNC Kenan-Flagler Business School Professor of Finance Eric Ghysels leads a discussion examining the differences in data protection laws in the United States and in the European Union (EU). The panel addresses questions as to how we should address the trade-offs of personal privacy protections versus issues of public health, how current data protection laws address these issues and what a re-imagining of these regulations might look like moving forward. Panelists include Information Technology Foundation Vice President and Director of ITIF’s Center for Data Innovation Daniel Castro and Head of Technology and Privacy at the European Data Protection Supervisor’s Office Thomas Zerdick.
Artificial intelligence was a major topic of conversation at the Frontiers of Business Conference on October 10. See how speakers and panelists think the technology will change the future of business.
In this paper, we apply the ARMA-GARCH model to Hong Kong real estate market. We analyzed the monthly data of housing, office retail and factories from February 1993 to February 2019. The result of ARCH LM test indicates that volatility clustering is shown in there four kinds of real estate. The price volatility of housing is influenced by foreign exchange rate, especially the USD exchange rate. The commercial real estate market shows different, they are all influenced by unemployment. All these real estate shows limited inflation hedging ability in a short period. The result of the EGARCH model shows there were no asymmetric effects in the real estate market.
The COVID-19 financial downturn will have short- and long-term effects on personal and consumer finance, as explored by a panel of Kenan Institute-convened experts during a press briefing held yesterday. The full recording of this briefing—along with a deeper-dive analysis on the specific implications of the downturn on personal retirement income by Kenan Institute Executive Director Greg Brown, is available in this week’s Kenan Insight.
This research brief uses data from the 2014-2015 Internal Revenue Service (IRS) migration file to quantify the dividend North Carolina receives from recent movers to the state. We calculate the dividend as the differences in per capita adjusted gross income from those who moved to North Carolina (in-migrants) relative to those who were already living in the state (non-migrants) and relative to those who moved from the state (out-migrants). The dividends from migrants ages 55 and older, especially those settling in eight migration magnet counties (Mecklenburg, Wake, Durham, Buncombe, New Hanover, Brunswick, Cabarrus, and Johnston), are significant. This migration constitutes a strategic opportunity for both business development and job creation in North Carolina communities.
Our national security depends on a safe and secure food supply that is free of contamination, whether unintentional or the result of a terrorist act. In December 2006, Congress and the White House passed the Pandemic and All-Hazards Preparedness Act (PAHPA), establishing the goal of near-real-time electronic situational awareness to enhance early detection of, rapid response to, and management of public health threats in order to minimize their impact. Meeting this challenge for food safety depends on our ability to collect, interpret, and disseminate electronic information across organizational and jurisdictional boundaries. While events such as 9/11 have elevated the need to share critical intelligence related to security threats, these events have also promoted the proliferation of multiple data systems and tools whose lack of interoperability hinders effective intelligence gathering and timely response. Further, most of the public health and food safety informatics work in the United States—from early detection of food-related outbreaks by local and state health departments to confirmation by the Centers for Disease Control and Prevention (CDC) through “fingerprinting” of pathogenic contaminants—takes place at different local, state, and federal jurisdictional levels. As a result, large gaps exist in our ability to meet the challenge of food safety in the United States with regard to PAHPA.
The NCFOODSAFE project bridges existing gaps in current North Carolina food safety systems by developing a new informatics tool, the North Carolina Foodborne Events Data Integration and Analysis (NCFEDA) tool, that provides situational awareness and intelligence about an intrinsically complex and dynamic process—the detection of and response to a foodborne disease outbreak. The project is informed by an understanding of the information sharing and communication structures among government agencies and other personnel responsible for regulating and overseeing the state’s food safety system.
In the past decade, coworking spaces have emerged as a new and promising phenomenon within entrepreneurship. Due to its prevalence, popularity and potential for disruptive change, coworking is increasingly relevant to theory, practice and policy in entrepreneurship, yet its implications are largely unstudied given its rapid rise. Overall, more data and analysis is needed to inform owners, policy makers and entrepreneurs about the effects of coworking. This paper is meant to increase understanding about the nature and value of this new phenomenon. In other words, it attempts to address the question: Does coworking work?
Theoretically, wealthier people should buy less insurance, and should self-insure through saving instead, as insurance entails monitoring costs. Here, we use administrative data for 63,000 individuals and, contrary to theory, find that the wealthier have better life and property insurance coverage.
The Small Business Investor Alliance surveyed the small business portfolios of Small Business Investment Companies to measure the impact the pandemic is having on their operations and employment. Small businesses are facing extreme cash flow concerns. Small businesses are already laying off a substantial number of employees and without a significant change in trajectory, layoffs are anticipated to increase tremendously. Data analysis provided by the Kenan Institute of Private Enterprise.
We use data from a federally sponsored survey about teenagers' marijuana consumption in the United States. We find that, teenagers under predict future marijuana use and that this inaccuracy is moderated by the extent of use. We also find that misprediction is affected by both attitudes and the situation through main and interaction effects. We outline some policy implications of our findings.
We propose a class of two factor dynamic models for duration data and related risk analysis in finance and insurance. Empirical findings suggest that the conditional mean and (under) overdispersion of times elapsed between stock trades feature various patterns of temporal dependence.