Acquisitions are notoriously difficult to execute successfully. Poor implementation of the post-acquisition integration process is a major source of acquisition value destruction. To surface new solutions for this vexing problem, we leverage the emerging triadic view of M&A activities, which emphasizes the interconnectedness between sellers, acquirers, and the units that are transferred between them.
Customer reviews are essential to online marketplaces. However, reviews typically vary; ratings of a product or service are rarely the same. In many service marketplaces, including the ones for solar panel installations, supply-side participants are active. That is, a seller must make a proposal to serve each customer. In such marketplaces, it is not clear how (or if) the dispersion in customer reviews affects the seller activity level and number of matches in the marketplace. Our paper examines this by considering both ratings and text reviews.
Recent research has documented that industry concentration has increased significantly over the past 25 years, with potentially negative consequences for competition, productivity, and social welfare. Some have suggested that greater corporate tax planning by industry leaders, which can provide them with a cost advantage over their competitors, has contributed to this trend. As a result, policymakers are targeting such tax planning to reduce industry concentration.
Using confidential offer-level data on the US housing market, this paper examines the rounding-off heuristics in the bilateral bargaining process. We demonstrate that home sellers and home buyers follow different rounding-off heuristics. While sellers' list prices cluster more frequently around charm numbers (e.g. 349,999), buyers' offer prices and negotiated final sales prices cluster at salient round numbers.
Crowdsourcing as a mechanism of open innovation is a popular way for organizations to solicit ideas from external agents. Our research focuses on the relationship between examples in problem statements provided to a crowd and the subsequent number of ideas submitted by the crowd.
We hypothesize that after a relaxation of short selling constraints, an escalation in short selling activity will heighten incentives for short sellers to accelerate price discovery by revealing their negative information. Consistent with this conjecture, we find that the overall sentiment of media coverage tilts significantly more negative for pilot relative to control firms following exogenous relief of short sale constraints.
Academics and innovators recently convened at the institute's wealth inequality conference to discuss the effects of income disparity and how education and research can create opportunities for more equitable access.
Throughout 2022, the Kenan Institute at UNC-Chapel Hill explored how ESG factors enter into and play a role in the decisions of corporate managers and investors. We have framed this analysis within the broader notion of “stakeholder capitalism,” a model in which business decisions reflect explicit consideration of their expected impact on a broader set of corporate stakeholders.
Punishments are not always administered immediately after a crime is committed. Although scholars and researchers claim that third parties should normatively enact punishments proportionate to a given crime, we contend that third parties punish transgressors more severely when there is a time delay between a transgressor’s crime and when they face punishment for it. We theorize that this occurs because of a perception of unfairness, whereby third parties view the process that led to time delays as unfair.
Multicultural experiences – such as living, traveling, or working abroad – can have many psychological benefits, including decreasing intergroup bias. However, unlike the intergroup contact literature, research on multicultural experiences has yet to examine whether the valence of these experiences may moderate such outcomes. So, could multicultural experiences actually increase intergroup bias? Five studies reveal that multicultural experiences increase (rather than decrease) intergroup bias when those experiences are negative (rather than positive).
Long depicted as a global melting pot, the United States is home to a collection of sharply divergent geographies, regions and cultures. An overlooked measure of our diversity, however, is economic. While national statistics tell a story of averages, they fail to account for the true drivers of economic expansion and contraction. It is only upon examining America’s microeconomies – our cities, towns, suburbs and rural communities – that we can begin to appreciate the myriad and complex determinants of broader U.S., and sometimes even global, economic trends.
Productivity is the single most important determinant of a society’s standard of living. But how can you gauge it, and why does it matter? In this second report from the American Growth Project, we examine the productivity levels of the 50 largest microeconomies in the United States along with how those productivity levels have shifted during the last 15 years.
To date, our work on the American Growth Project has focused on the United States’ most populous urban areas. Our previous analyses of growth and productivity in the 50 largest Extended Metropolitan Areas (EMAs) have served to illustrate the tremendous amount of economic diversity to be found within the United States, revealing stark variations in economic trends, major industries and migration patterns in the country’s largest cities. We turn now to the task of measuring and analyzing economic activity in the next largest set of EMAs: the top 100 midsize cities.
The paper uses structured machine learning regressions for nowcasting with panel data consisting of series sampled at different frequencies. Motivated by the problem of predicting corporate earnings for a large cross-section of firms with macroeconomic, financial, and news time series sampled at different frequencies, we focus on the sparse-group LASSO regularization which can take advantage of the mixed-frequency time series panel data structures.
The 2022 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel was awarded to Ben S. Bernanke, Douglas W. Diamond, and Philip H. Dybvig “for research on banks and financial crises”. This article surveys the contributions of the three laureates and discusses how their insights have changed the way that academics and policymakers understand banks and their roles in financial crises.
We describe an experimental curriculum innovation that creates a safe space for students to engage in courageous conversations—to openly share diverse thoughts and opinions as well as vigorously debate politically charged issues of critical business importance.
This paper explores the ups and downs of innovation and productivity growth in the US economy and potential connections to the ups and downs of business dynamism and entrepreneurship over the last few decades.
The advent of artificial intelligence (AI) tools necessitates the development of human skills that allow workers to use these new technologies to create value that AI tools cannot on their own.
Pay transparency policies are increasingly popular among governments in the United States and around the world.
Immigration is one of the most contentious policy issues, and Congress has for decades failed to make any significant legislative progress. The result is an incoherent policy landscape and serious operational challenges on the ground. At the same time, immigration and immigrant integration are critical to U.S. workforce growth, government fiscal solvency, and innovation. I discuss key findings from the economics literature and their implications for where to focus immigration reform efforts.