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econ.EM2023
Robustify and Tighten the Lee Bounds: A Sample Selection Model under Stochastic Monotonicity and Symmetry Assumptions
Yuta Okamoto
In the presence of sample selection, Lee's (2009) nonparametric bounds are a popular tool for estimating a treatment effect. However, the Lee bounds rely on the monotonicity assump…
econ.EM2023
Kernel Choice Matters for Local Polynomial Density Estimators at Boundaries
Shunsuke Imai, Yuta Okamoto
Local polynomial density (LPD) estimators are widely used for inference on boundary features of the density function. Contrary to conventional wisdom, we show that kernel choice su…