International Fellows

Victor Chernozhukov

MIT

Selected Publications

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
Inference in high dimensional panel models with an application to gun control

We consider estimation and inference in panel data models with additive unobserved individual specific heterogeneity in […]

Alexandre Belloni, Victor Chernozhukov, Christian Hansen, Damian Kozbur
15 September 2016 | Journal Article

Previous version

Inference in high dimensional panel models with an application to gun control
Alexandre Belloni, Victor Chernozhukov, Christian Hansen, Damian Kozbur
31 December 2014 | CWP50/14