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...

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...

This paper proposes a model-free approach to analyze panel data with heterogeneous dynamic structures across observational units. We first compute the sample mean, autocovariances, and autocorrelations for each unit, and then estimate the parameters of interest based on their empirical...

In this study, we examine how information provision affects the degree of overconfidence using an online experiment. The 4,210 experimental participants engaged in stock market prediction exercises were asked to evaluate their absolute and relative performance. We conducted a randomized...