research
∙
05/30/2020
Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data
In ordinary quantile regression, quantiles of different order are estima...
share
research
∙
09/12/2019
Fast Algorithms for the Quantile Regression Process
The widespread use of quantile regression methods depends crucially on t...
research
∙
09/02/2019
SortedEffects: Sorted Causal Effects in R
Chernozhukov et al. (2018) proposed the sorted effect method for nonline...
research
∙
01/12/2019
Mastering Panel 'Metrics: Causal Impact of Democracy on Growth
The relationship between democracy and economic growth is of long-standi...
research
∙
12/21/2018
Decomposing Real Wage Changes in the United States
We employ CPS data to analyze the sources of hourly real wage changes in...
research
∙
11/28/2018
Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK
We develop a distribution regression model under endogenous sample selec...
research
∙
09/04/2018
Shape-Enforcing Operators for Point and Interval Estimators
A common problem in statistics is to estimate and make inference on func...
research
∙
03/21/2018
Network and Panel Quantile Effects Via Distribution Regression
This paper provides a method to construct simultaneous confidence bands ...
research
∙
01/26/2018
Nonseparable Sample Selection Models with Censored Selection Rules
We consider identification and estimation of nonseparable sample selecti...
research
∙
01/13/2018
Censored Quantile Instrumental Variable Estimation with Stata
Many applications involve a censored dependent variable and an endogenou...
research
∙
12/13/2017
Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments
We propose strategies to estimate and make inference on key features of ...
research
∙
11/06/2017
Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models
This paper introduces two classes of semiparametric triangular systems w...
research
∙
11/11/2013