The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on …

Models defined by moment inequalities have become a standard modeling framework for empirical economists, spreading …

new decision trees) and locally selects variables (with Bayesian priors) for modeling panel data with potential grouped …

vector that governs the option price dynamics. The estimators converge stably to a mixed-Gaussian law and we develop feasible … estimators for the limiting variance. We provide semiparametric tests for the option price dynamics based on the distance between … the stability of the risk-neutral dynamics over a given period of time. A large-scale Monte Carlo study indicates the …

The conventional wisdom in macroeconomic modeling is to attribute business cycle fluctuations to innovations in the … understood partly because modeling the latent volatilities can be quite demanding. This paper suggests a simply methodology that … interaction between the level and second-moment dynamics …

language processing and generative statistical modeling to create a factor structure of unstructured data for downstream … relatively interpretable spanning clusters (i.e., textual factors) through topic modeling. Our data-driven approach captures …