International Fellows

Victor Chernozhukov

MIT

Selected Publications

Inference for extremal conditional quantile models, with an application to market and birthweight risks

Quantile regression (QR) is an increasingly important empirical tool in economics and other sciences for analysing […]

Victor Chernozhukov, Ivan Fernandez-Val
9 March 2011 | Journal Article

Previous version

L1-Penalized quantile regression in high-dimensional sparse models

We consider median regression and, more generally, a possibly infinite collection of quantile regressions in high-dimensional […]

Alexandre Belloni, Victor Chernozhukov
28 February 2011 | Journal Article

Previous version

L1-Penalized quantile regression in high-dimensional sparse models
Alexandre Belloni, Victor Chernozhukov
7 May 2009 | CWP10/09
Inference on counterfactual distributions

Counterfactual distributions are important ingredients for policy analysis and decomposition analysis in empirical economics. In this […]

Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly
1 November 2010 | Journal Article

Previous version

Inference on counterfactual distributions
Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly
13 May 2013 | CWP17/13
Sparse models and methods for optimal instruments with an application to eminent domain

We develop results for the use of LASSO and Post-LASSO methods to form first-stage predictions and […]

Alexandre Belloni, D. Chen, Victor Chernozhukov, Christian Hansen
22 October 2010 | CWP31/10

Latest version

Sparse models and methods for optimal instruments with an application to eminent domain
Alexandre Belloni, D. Chen, Victor Chernozhukov, Christian Hansen
26 December 2012 | Journal Article
Post-l1-penalized estimators in high-dimensional linear regression models

In this paper we study post-penalized estimators which apply ordinary, unpenalized linear regression to the model […]

Alexandre Belloni, Victor Chernozhukov
3 June 2010 | CWP13/10
Quantile and probability curves without crossing

The most common approach to estimating conditional quantile curves is to fit a curve, typically linear, […]

Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon
31 May 2010 | Journal Article

Previous version

Quantile and probability curves without crossing
Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon
30 April 2007 | CWP10/07
Rearranging Edgeworth-Cornish-Fisher expansions

This paper applies a regularization procedure called increasing rearrangement to monotonize Edgeworth and Cornish-Fisher expansions and […]

Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon
1 February 2010 | Journal Article

Previous version

Rearranging Edgeworth-Cornish-Fisher expansions
Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon
14 August 2007 | CWP19/07
Quantile and average effects in nonseparable panel models

This paper gives identification and estimation results for quantile and average effects in nonseparable panel models, […]

Victor Chernozhukov, Ivan Fernandez-Val, Whitney K. Newey
9 October 2009 | CWP29/09
Improving estimates of monotone functions by rearrangement

Suppose that a target function is monotonic, namely, weakly increasing, and an original estimate of the […]

Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon
1 September 2009 | Journal Article

Previous version

Improving point and interval estimates of monotone functions by rearrangement
Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon
6 July 2008 | CWP17/08
On the computational complexity of MCMC-based estimators in large samples

In this paper we examine the implications of the statistical large sample theory for the computational […]

Alexandre Belloni, Victor Chernozhukov
1 August 2009 | Journal Article

Previous version

On the computational complexity of MCMC-based estimators in large samples
Alexandre Belloni, Victor Chernozhukov
29 May 2007 | CWP12/07