We derive nonparametric sharp bounds on average treatment effects with an instrumental variable (IV) and use them to evaluate the effectiveness of the Job Corps training program for disadvantaged youth. We focus on the population average treatment effect (ATE) and the average treatment effect on...

We consider the problem of assessing the effects of a treatment on duration outcomes using data from a randomized evaluation with noncompliance. For such settings, we derive nonparametric sharp bounds for average and quantile treatment effects addressing three pervasive problems simultaneously:...

We consider the problem of assessing the effects of a treatment on duration outcomes using data from a randomized evaluation with noncompliance. For such settings, we derive nonparametric sharp bounds for average and quantile treatment effects addressing three pervasive problems simultaneously:...

In the US forestry industry, wildre has always been one of the leading causes of damage. This topic is of growing interest as wildre has caused huge losses in recent years. Among all causes, lightning has always been the leading hazard. Unlike human related wildres for which timber owners may be...

Our study focuses on modeling wildfire damage in the State of Florida. The approach is to evaluate wildfire risks in a spatio-temporal framework. A block bootstrapping method has been proposed to construct a statistical model accounting for explanatory variables while adjusting for spatial and...

Using data of the largest online job board in China, Zhaopin.com, we examine the impacts of the lockdown policy on the Chinese labor market demand during the coronavirus disease (COVID-19) pandemic. The analyses reveal that the lockdown policy, which was implemented in Wuhan on January 23, 2020,...