2 citations · 2 across the 1 of their papers we have counts for
4 papers
Fast Algorithms for the Quantile Regression Process
Victor Chernozhukov, Iván Fernández-Val, Blaise Melly
The widespread use of quantile regression methods depends crucially on the existence of fast algorithms. Despite numerous algorithmic improvements, the computation time is still no…
SortedEffects: Sorted Causal Effects in R
Shuowen Chen, Victor Chernozhukov, Iván Fernández-Val +1
Chernozhukov et al. (2018) proposed the sorted effect method for nonlinear regression models. This method consists of reporting percentiles of the partial effects in addition to th…
Mastering Panel 'Metrics: Causal Impact of Democracy on Growth
Shuowen Chen, Victor Chernozhukov, Iván Fernández-Val
The relationship between democracy and economic growth is of long-standing interest. We revisit the panel data analysis of this relationship by Acemoglu, Naidu, Restrepo and Robins…
Shape-Enforcing Operators for Point and Interval Estimators
Xi Chen, Victor Chernozhukov, Iván Fernández-Val +2
A common problem in econometrics, statistics, and machine learning is to estimate and make inference on functions that satisfy shape restrictions. For example, distribution functio…