This paper examines changes in the distribution of wages using bounds to allow for the impact of non-random selection … into work. We show that bounds constructed without any economic or statistical assumptions can be informative. However … differentials. Thus we explore ways to tighten these bounds using restrictions motivated from economic theory. With these …

bounds on the long-run elasticity than previous studies. If wage earners on average tolerate 1% of their disposable income in …

United States, by constructing nonparametric bounds for the average and quantile treatment effects of the program on wages …

This paper presents a method of calculating sharp bounds on the average treatment effect using linear programming under … departure from identifying assumptions may substantially widen the bounds on average treatment effects. Allowing for a small …

rectified by imposing bounds on alpha weights within the regression procedure. Bounded regression can also be applied to stock …

We derive nonparametric sharp bounds on average treatment effects with an instrumental variable (IV) and use them to … data, and some of our bounds do not require an outcome with bounded support. We employ these bounds to assess the …

, we employ a nonparametric partial identification approach that provides bounds on the population average treatment effect … response. The bounds indicate potentially large effects of increasing schooling from primary to secondary but are also …