Estimation and Inference of Discontinuity in Density

By Taisuke Otsu, Ke-Li Xu, Yukitoshi Matsushita. 2013

58 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Federico A. Bugni
2. Ivan A. Canay
3. A. Rosen
4. D. Chetverikov
5. Jörg Stoye
6. Y. Kitamura

In Statistics and Probability

1. Ivan A. Canay
2. Federico A. Bugni
3. T. Nannicini
4. Jörg Stoye
5. Y. Kitamura
6. A. Rosen
7. T. Armstrong
8. D. Chetverikov

Citations in the corpus

• Testing continuity of a density via g-order statistics in the regression discontinuity design (2018, methodology): “The new test has three attractive features compared to existing approaches (see, e.g., McCrary, 2008; Otsu et al., 2013; Cattaneo et al., 2017a).”
• Regression Discontinuity Designs Based on Population Thresholds: Pitfalls and Solutions (2015, background): “…all types of thresholds, with the smallest effect (and weakest evidence against the null) at thresholds where 12For a recent literature that estimates discontinuities in densities and avoids pre-binning of the data, see Otsu, Xu, and Matsushita (2013) and Cattaneo, Jansson, and Ma (2015a, 2015b).”