My latest projects revolve around modeling unobserved heterogeneity using panel data and applications in health, public economics, labor, and demand estimation. I'm working on the type fixed effects model composed of heterogeneous coefficients and time-varying effects and an accompanying GMM framework. I apply this model to cigarette demand to study the consequences of dual consumption capitals and heterogeneous preferences in the Rational Addiction model. I am also investigating how to incorporate higher order conditional moments given a latent discrete variable, e.g., unobserved heteroskedasticity, to improve performance of clustering-based estimators such as grouped fixed effects.
With my coauthors, I am working on a multivariate extension of Lorenz curves and Gini index using optimal transport theory, which can be applied to the study of multidimensional inequality and risk.
I've been a GSEE Fellow at the UW since 2018.