Is the U.S. in Recession? CBS Experts Weigh in on the Economic Outlook
New data has sparked a debate about the state of the economy. Here’s what some of our faculty members had to say.
New data has sparked a debate about the state of the economy. Here’s what some of our faculty members had to say.
There is perhaps no topic that is more important for the functioning of a market economy than competition policy. The theorems and analyses stating that market economies deliver benefits in the form of higher living standards and lower prices are all based on the assumption that there is effective competition in the market. At the same time when Adam Smith emphasised that competitive markets deliver enormous benefits, he also emphasised the tendency of firms to suppress competition.
The veteran economist and CBS professor joined Professor Brett House to explore how erratic policymaking, rising tariffs, and politicized institutions are shaking global confidence in the U.S. economy.
During a recent Distinguished Speakers Series event, the Senior Partner and Chair of North America at McKinsey shared leadership insights on AI business strategy, climate innovation, and the future of work.
Insights from Columbia Business School faculty explain how the president’s “Liberation Day” tariffs are fueling market volatility, undermining global economic stability, and impacting the Fed's ability to lower interest rates.
A Columbia Business School study shows that experiencing a recession in young adulthood leads to lasting support for wealth redistribution—but mostly for one’s own group.
This paper focuses on add-on sales to determine both their value per se and their value as a reflexive measure of brand equity. Specifically, this paper examines the "accessory premium" for automobiles, i.e., accessories installed by dealers at the time of sale. Using J.D. Power Data, the authors find that higher add-on accessory sales accrue to higher equity brands which make accessory sales a potentially useful measure of brand equity (J. Marketing 67: 1?17, 2003). In addition, the authors examine how the revenue premium metric varies by age cohort.
I analyze the effects of four types of medical innovation and cancer incidence on US cancer mortality rates during the period 2000–2009, by estimating difference-in-differences models using longitudinal (annual) data on ∼60 cancer sites (breast, colon, etc.). The outcome measure used is not subject to lead-time bias. I control for mean age at diagnosis, the stage distribution of patients at time of diagnosis, and the sex and race of diagnosed patients.