We develop new procedures to quantify the statistical uncertainty of data-driven clustering algorithms. In our panel setting, each unit belongs to one of a finite number of latent groups with group-specific regression curves. We propose methods for computing unit-wise and joint confidence sets...

We demonstrate theoretically and empirically the presence of forbearance lending by profit-maximizing banks to influential buyers in a supply network. If the financial market is concentrated, then banks can internalize the negative externality of an influential firm's exit. As a result, they may...

We propose an econometric procedure to test for the presence of overconfidence using data collected by ranking experiments. Our approach applies the techniques from the moment inequality literature. Although a ranking experiment is a typical way to collect data for the analysis of...