International Fellows

Victor Chernozhukov

MIT

View website Send email

Selected Publications

Working Paper
Inference for heterogeneous effects using low-rank estimations

We study a panel data model with general heterogeneous effects, where slopes are allowed to be […]

Victor Chernozhukov, Christian Hansen, Yuan Liao, Yinchu Zhu
12 June 2019 | CWP31/19
Inference on average treatment effects in aggregate panel data settings

This paper studies inference on treatment effects in aggregate panel data settings with a single treated […]

Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu
12 June 2019 | CWP32/19
Mastering Panel Metrics: Causal Impact of Democracy on Growth

The relationship between democracy and economic growth is of long standing interest. We revisit the panel […]

Shuowen Chen, Victor Chernozhukov, Ivan Fernandez-Val
12 June 2019 | CWP33/19
Semi-Parametric Efficient Policy Learning with Continuous Actions

We consider off-policy evaluation and optimization with continuous action spaces. We focus on observational data where […]

Mert Demirer, Vasilis Syrgkanis, Greg Lewis, Victor Chernozhukov
12 June 2019 | CWP34/19
Single market non-parametric identification of multi-attribute hedonic equilibrium models

This paper derives conditions under which preferences and technology are nonparametrically identified in hedonic equilibrium models, […]

Victor Chernozhukov, Alfred Galichon, Marc Henry, Brendan Pass
11 June 2019 | CWP27/19
LASSO-Driven Inference in Time and Space

We consider the estimation and inference in a system of high-dimensional regression equations allowing for temporal […]

Victor Chernozhukov, Wolfgang Härdle, Chen Huang, Weining Wang
29 April 2019 | CWP20/19

Previous version

LASSO-driven inference in time and space
Victor Chernozhukov, Wolfgang Härdle, Chen Huang, Weining Wang
20 June 2018 | CWP36/18
Best linear approximations to set identified functions: with an application to the gender wage gap

This paper provides inference methods for best linear approximations to functions which are known to lie […]

Arun Chandrasekhar, Victor Chernozhukov, Francesca Molinari, Paul Schrimpf
18 February 2019 | CWP09/19

Previous version

Inference for best linear approximations to set identified functions
Arun Chandrasekhar, Victor Chernozhukov, Francesca Molinari, Paul Schrimpf
17 December 2012 | CWP43/12
Network and panel quantile effects via distribution regression

This paper provides a method to construct simultaneous confidence bands for quantile functions and quantile effects […]

Victor Chernozhukov, Ivan Fernandez-Val, Martin Weidner
12 December 2018 | CWP70/18

Latest version

Network and Panel Quantile Effects Via Distribution Regression
Victor Chernozhukov, Ivan Fernandez-Val, Martin Weidner
15 June 2020 | CWP27/20

Previous version

Network and panel quantile effects via distribution regression
Victor Chernozhukov, Ivan Fernandez-Val, Martin Weidner
22 March 2018 | CWP21/18
Distribution regression with sample selection, with an application to wage decompositions in the UK

We develop a distribution regression model under endogenous sample selection. This model is a semiparametric generalization […]

Victor Chernozhukov, Ivan Fernandez-Val, Siyi Luo
29 November 2018 | CWP68/18
Inference on causal and structural parameters using many moment inequalities

This paper considers the problem of testing many moment inequalities where the number of moment inequalities, […]

Victor Chernozhukov, Denis Chetverikov, Kengo Kato
18 October 2018 | CWP60/18

Previous version

Testing many moment inequalities
Victor Chernozhukov, Denis Chetverikov, Kengo Kato
26 August 2016 | CWP42/16
1
2
3
4
5
6
7
8