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.
Active investors provide entrepreneurs with risk-sharing and value-adding effort, e.g., in form of advising, networking and monitoring. However, holdup problems may create a conflict between two key objectives for high-quality entrepreneurs: to elicit investor effort and to credibly signal their firm type by retaining shares. As a result, pooling of startup firms of different types may arise, in particular when investor effort is essential. More established firms, with access to multiple signals, can always realize both of these objectives.
In this paper, we measure the extent to which subjective and objective evaluations of new teachers in New York City can predict their future impacts on student achievement. Specifically, we examine evaluations of applicants to an alternative certification program, evaluations of new teachers by mentors that work with them during their first year, and evaluations based on student achievement data from their first year of teaching. We use a large sample, relative to prior work, and, unlike other studies (with the exception of John H. Tyler et al.
The fields of statistics and econometrics have developed powerful methods for testing the validity (specification) of a model based on its fit to underlying data. Unlike statisticians, managers are typically more interested in the performance of a decision rather than the statistical validity of the underlying model. We propose a framework and a statistical test that incorporates decision performance into a measure of statistical validity. Under general conditions on the objective function, asymptotic behavior of our test admits a sharp and simple characterization.