International Fellows

Victor Chernozhukov

MIT

Selected Publications

An exact and robust conformal inference method for counterfactual and synthetic controls

This paper introduces new inference methods for counterfactual and synthetic control methods for evaluating policy effects. […]

Victor Chernozhukov, Kaspar Wüthrich, Yu Zhu
26 December 2017 | CWP62/17
Simultaneous confidence intervals for high-dimensional linear models with many endogenous variables

High-dimensional linear models with endogenous variables play an increasingly important role in recent econometric literature. In […]

Alexandre Belloni, Victor Chernozhukov, Christian Hansen, Whitney K. Newey
21 December 2017 | CWP63/17
Quantile graphical models: prediction and conditional independence with applications to systemic risk

The understanding of co-movements, dependence, and influence between variables of interest is key in many applications. […]

Alexandre Belloni, Mingli Chen, Victor Chernozhukov
5 December 2017 | CWP54/17
Semiparametric estimation of structural functions in nonseparable triangular models

This paper introduces two classes of semiparametric triangular systems with nonadditively separable unobserved heterogeneity. They are […]

Victor Chernozhukov, Ivan Fernandez-Val, Whitney K. Newey, Sami Stouli, Francis Vella
8 November 2017 | CWP48/17
Nonseparable multinomial choice models in cross-section and panel data

Multinomial choice models are fundamental for empirical modeling of economic choices among discrete alternatives. We analyze […]

Victor Chernozhukov, Ivan Fernandez-Val, Whitney K. Newey
27 June 2017 | CWP33/17
Quantreg.nonpar: an R package for performing nonparametric series quantile regression

The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially […]

Michael Lipsitz, Alexandre Belloni, Victor Chernozhukov, Ivan Fernandez-Val
6 June 2017 | CWP29/17
Double/debiased machine learning for treatment and structural parameters

We revisit the classic semiparametric problem of inference on a low dimensional parameter θ0 in the […]

Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney K. Newey, James Robins
2 June 2017 | CWP28/17
Generic inference on quantile and quantile effect functions for discrete outcomes

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

Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly, Kaspar Wüthrich
19 May 2017 | CWP23/17
Confidence bands for coefficients in high dimensional linear models with error-in-variables

We study high-dimensional linear models with error-in-variables. Such models are motivated by various applications in econometrics, […]

Alexandre Belloni, Victor Chernozhukov, Abhishek Kaul
17 May 2017 | CWP22/17
Double machine learning for treatment and causal parameters

Most modern supervised statistical/machine learning (ML) methods are explicitly designed to solve prediction problems very well. […]

Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney K. Newey
27 September 2016 | CWP49/16