This paper surveys econometric innovations related to differences-in-differences estimators and to event-study models with time-varying treatment effects. Our discussion highlights tricky ...
Abstract: This paper presents a pioneering examination of using Machine Learning (ML) for applications to ESD data analysis. It involves demonstrating how post ESD stress IV curve data can lead to ...
We investigate the origins and implications of zero-sum thinking: the belief that gains for one individual or group tend to come at the cost of others. Using a new survey of 20,400 U.S. residents, we ...
Abstract: An important development trend of ON-chip power clamp circuits is that they should be able to deal with more types of power rail overstress events, such as electrostatic discharges (ESDs) ...