33 citations · 124 across the 37 of their papers we have counts for
8 papers · 1 filter
Extreme Changes in Changes
Yuya Sasaki, Yulong Wang
Policy analysts are often interested in treating the units with extreme outcomes, such as infants with extremely low birth weights. Existing changes-in-changes (CIC) estimators are…
On Uniform Confidence Intervals for the Tail Index and the Extreme Quantile
Yuya Sasaki, Yulong Wang
This paper presents two results concerning uniform confidence intervals for the tail index and the extreme quantile. First, we show that it is impossible to construct a length-opti…
Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method
Yuya Sasaki, Yulong Wang
The conventional cluster-robust (CR) standard errors may not be robust. They are vulnerable to data that contain a small number of large clusters. When a researcher uses the 51 sta…
Estimation of Average Derivatives of Latent Regressors: With an Application to Inference on Buffer-Stock Saving
Hao Dong, Yuya Sasaki
This paper proposes a density-weighted average derivative estimator based on two noisy measures of a latent regressor. Both measures have classical errors with possibly asymmetric…
Capital and Labor Income Pareto Exponents in the United States, 1916-2019
Ji Hyung Lee, Yuya Sasaki, Alexis Akira Toda +1
Accurately estimating income Pareto exponents is challenging due to limitations in data availability and the applicability of statistical methods. Using tabulated summaries of inco…
Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data
Ji Hyung Lee, Yuya Sasaki, Alexis Akira Toda +1
Administrative data are often easier to access as tabulated summaries than in the original format due to confidentiality concerns. Motivated by this practical feature, we propose a…
Non-Existent Moments of Earnings Growth
Silvia Sarpietro, Yuya Sasaki, Yulong Wang
The literature often employs moment-based earnings risk measures like variance, skewness, and kurtosis. However, under heavy-tailed distributions, these moments may not exist in th…
Standard errors for two-way clustering with serially correlated time effects
Harold D Chiang, Bruce E Hansen, Yuya Sasaki
We propose improved standard errors and an asymptotic distribution theory for two-way clustered panels. Our proposed estimator and theory allow for arbitrary serial dependence in t…