Cities increasingly will have to demonstrate a strong commitment to reputational equity to remain attractive places to live, work, play, and do business given the racially and ethnically disparate impacts of Covid-19 pandemic and recent senseless killings of unarmed African Americans that spawned a nationwide protest movement. We leverage evidence-based best practices of inclusive and equitable development from the research literature to devise a reputational equity checklist—a portfolio of strategies, policies, tactics, procedures and practices cities will need to embrace to dismantle all forms of “Isms” and “Phobias” that are principally responsible for the major divisions that exist in American society today.
A roadmap for inclusive and equitable development is proposed which has four core elements that will lead to greater shared prosperity in Durham: a sustainability scorecard; a collective ambition community mobilization strategy; a more inclusive entrepreneurial/business ecosystem; and an equitable community economic development innovations fund. These activities aim to support historically underutilized businesses and invest in workforce development partnerships that support working poor civil servants at-risk of being priced out of and displaced from Durham’s housing market. Utilizing these tools and leveraging the four corners of intellectual assets that exist at Duke University, University of North Carolina at Chapel Hill, North Carolina State University, and North Carolina Central University should strategically position Durham to be one of the most inclusive, equitable, and sustainable cities in America.
We show that there exists significant heterogeneity across US households in how uncertain they are in their expectations regarding personal and macroeconomic outcomes, and that uncertainty in expectations predicts households' choices.
The current research explores the relationship between living abroad and self-concept clarity. We conducted six studies (N = 1,874) using different populations (online panels and MBA students), mixed methods (correlational and experimental), and complementary measures of self-concept clarity (self-report and self-other congruence through 360-degree ratings).
In this paper, we introduce the role of big data in humanitarian settings and discuss data streams which could be utilized to develop descriptive, prescriptive and predictive models to significantly impact the lives of people in need.
Voting outcomes can differ from underlying preferences due to strategic selection into voting. One explanation for such selection effects is lower participation of shareholders with popular preferences (free-rider effect) relative to those with unpopular preferences (underdog effect). We illustrate these effects in a rational choice model in which the voting participation decision depends on the probability of being pivotal and the costs and benefits of voting.
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.
We investigate the role of mindfulness as a regulatory factor by examining whether it mitigates the relationship between justice and retaliation. Drawing on theories of self-regulation, we integrate work on justice with emerging frameworks that identify mindfulness as an important work-related regulatory variable (Glomb, Duffy, Bono, & Yang, 2011).
Defaults exert a strong and predictable influence over behavior (Goldstein et al., 2008; Johnson, Belman, & Lohse, 2002). In European countries with opt-in organ donor pools, it is rare for greater than 20% of the population to opt in, while in opt-out countries it is not unusual to find that over 99% of the population are organ donors (Johnson and Goldstein, 2003).
This study provides general methods to measure and characterize the welfare costs of long-run consumption uncertainty with Epstein and Zin (1989) preferences. I find that long-run uncertainty can create significant welfare costs even when risk aversion is moderate and the short-run consumption volatility low.
Although weather has been shown to affect financial markets and financial decision making, a still open question is the channel through which such influence is exerted. By employing a multiple price list method, this paper provides direct experimental evidence that sunshine and good weather promote risk-taking behavior.
Because current earnings predict future financial performance, the stock market reacts strongly to earnings announcements. How rapidly and in what manner information about marketing actions and strategies is accounted for in the stock valuation is less clear.