This workshop will combine presentations of cutting-edge research, overviews of data and resources at UNC and networking sessions to plant the seeds for new collaborative research on the issues of aging.
In the institute's April 4 briefing, Research Director Camelia Kuhnen dissected consumer confidence and sentiment data with an emphasis on growing pessimism among young people and answered questions on potential economic effects of new tariffs.
The Kenan Institute's projected 2025 GDP growth rates for 150 Extended Metropolitan Areas across the United States anticipate a slowdown, but our data indicate that all of those areas will see GDP growth this year.
This paper investigates fire sales of downgraded corporate bonds induced by regulatory constraints imposed on insurance companies. As insurance companies hold over one-third of investment-grade corporate bonds, the collective need to divest downgraded issues may be limited by a scarcity of counterparties. Using insurance company transaction data, we find that insurance companies that are relatively more constrained by regulation are more likely to sell downgraded bonds. Bonds subject to a high probability of regulatory-induced selling exhibit price declines and subsequent reversals. These price effects appear larger during periods when the insurance industry is relatively distressed and other potential buyers' capital is scarce.
The Triangle Business Journal recently ranked Triangle-based, publicly-held life sciences companies by their most recent annual revenue growth. Greg Brown, Kenan Institute director, helped compile the data, which focused on companies with at least $200 million in assets and 30 or more employees.
Fifteen North Carolina city, county, and state entities are vying with more than 230 communities in the U.S. and Canada to be the home of Amazon’s second headquarters. But bidders in the state are keeping mum about the details of their bids, saying that releasing data could jeopardize their competitiveness. One person who is talking is Brent Lane, economic strategist for the Center for Competitive Economies.
This paper presents an analysis of data from a company that offers forwards in a sports ticket market. Multiple models that account for fan heterogeneity are presented to capture forward purchase and resale behaviors.
The Kenan Institute is proud to launch the American Growth Project, a new initiative providing up-to-the-minute economic data, analysis and forecasting for towns, cities and counties across the country.
We demonstrate the need to view in a dynamic context any decision based on limited information. We focus on the use of product costs in selecting the product portfolio. We show how ex post data regarding the actual costs from implementing the decision leads to updating of product cost estimates and potentially trigger a revision of the initial decision. We model this updating process as a discrete dynamical system (DDS). We define a decision as informationally consistent if it is a fixed-point solution to the DDS.
Based on earlier taxonomies of group composition models, aggregating data from individual-level responses to operationalize group-level constructs is a common aspect of management research.
We consider the inventory management problem of a firm reacting to potential change points in demand, which we define as known epochs at which the demand distribution may (or may not) abruptly change. Motivating examples include global news events (e.g., the 9/11 terrorist attacks), local events (e.g., the opening of a nearby attraction), or internal events (e.g., a product redesign).
In academia, citations received by articles are a critical metric for measuring research impact. An important aspect of publishing in academia is the ability of the authors to navigate the review process and despite its critical role very little is known about how the review process may impact the research impact of an article.
We take up Cochrane’s (2011) challenge to identify the firm characteristics that provide independent information about average U.S. monthly stock returns by simultaneously including 94 characteristics in Fama-MacBeth regressions that avoid overweighting microcaps and adjust for data snooping bias.
Current innovation literature provides a very limited understanding of the potential impacts of innovative culture on employees. Building on resource-based view theory, the authors investigate theoretically and empirically how a perceived innovative culture can be a building block for a firm's competitive resource and advantage by creating superior employee-level outcomes and how a market information-sharing process may moderate these effects.
...estimate and graph the three effects over time for each product and country using a comprehensive data set that covers the diffusion of PCs and the Internet over two decades—from...
Focusing on U.S. data, we show the existence of a significant positive link between uncertainty and reallocation of resources from private R&D-intensive firms to both tangible private capital and government capital.
We investigate whether business ties with portfolio firms influence mutual funds' proxy voting using a comprehensive data set spanning 2003 to 2011. In contrast to prior literature, we find that business ties significantly influence pro-management voting at the level of individual pairs of fund families and firms after controlling for Institutional Shareholder Services (ISS) recommendations and holdings.
This event, sponsored by the Commercial Real Estate Data Alliance (CREDA) and the Institute for Private Capital (IPC), brings together leading academics and practitioners to discuss current issues related to commercial real estate, infrastructure, inflation and policy issues such as the effects of possible rent control proposals on investment returns.
Join Kenan Institute Research Director Camelia Kuhnen for the institute’s monthly virtual briefing at 9 a.m. EDT this Friday, June 7, as she dives into new data that shows a softening economy, raising questions about the Fed's response and labor market impact.
In this paper, we study within firm heterogeneity in the discounts offered to consumers. Utilizing transaction level data from a large home appliance retailer, we quantify the extent of both across and within-salesperson heterogeneity in the discounts they negotiate with consumers.