Centre for microdata methods and practice
Dongwoo Kim is a PhD student studying Economics at the University College London and the Centre for Microdata Methods and Practice (CeMMap.) His fields of interest are microeconometric theory and its applications, particularly focusing on nonparametric (and/or incomplete) models for discrete outcomes, partial identification, and statistical inference.
This paper presents an empirical model of sponsored search auctions where advertisers are ranked by bid… Continue reading.
This paper proposes empirically tractable multidimensional matching models, focusing on worker-job matching. We generalize the parametric… Continue reading.
This paper proposes a powerful alternative to the t-test of the null hypothesis that a coefficient… Continue reading.
This paper presents an empirical model of sponsored search auctions in which advertisers are ranked by… Continue reading.
This paper studies models of processes generating censored outcomes with endogenous explanatory variables and instrumental variable… Continue reading.
Vaccination has been perceived as a key to reaching “herd immunity” in the current COVID-19 pandemic…. Continue reading.
This paper studies models of processes generating censored outcomes with endogenous explanatory variables and instrumental variable… Continue reading.
This paper proposes a powerful alternative to the t-test in linear regressions when a regressor is… Continue reading.
We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of… Continue reading.
We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of… Continue reading.