하정엽 교수

This paper shows how to remove attenuation bias in regression analyses due to measurement error in historical data for a given variable of interest by using a secondary measure that can be easily generated from digitized newspapers. We provide three methods for using this secondary variable to deal with non-classical measurement error in a binary treatment: set identification, bias reduction via sample restriction, and a parametric bias correction. We demonstrate the usefulness of our methods by

This paper estimates the effect of legal access to alcohol on academic performance.I find that legal access to alcohol has a negative effect on academic performance, but the magnitude is smaller than previously documented.Exploiting the richness of an administrative data set that links academic performance to student activities, I test for heterogeneous impacts across dimensions not previously studied.Notably I find there is no significant effect of legal access for fraternity and sorority membe