International Fellows

Whitney K. Newey

MIT

Professor of Economics, Massachussets Institute of Technology

Selected Publications

Control variables, discrete instruments, and identification of structural functions

Control variables provide an important means of controlling for endogeneity in econometric models with nonseparable and/or […]

Whitney K. Newey, Sami Stouli
18 September 2018 | CWP55/18
Locally robust semiparametric estimation

We give a general construction of debiased/locally robust/orthogonal (LR) moment functions for GMM, where the derivative […]

Victor Chernozhukov, Juan Carlos Escanciano, Hidehiko Ichimura, Whitney K. Newey, James M. Robins
26 April 2018 | CWP30/18

Previous version

Locally robust semiparametric estimation
Victor Chernozhukov, Juan Carlos Escanciano, Hidehiko Ichimura, Whitney K. Newey
2 August 2016 | CWP31/16
Double/de-biased machine learning using regularized Riesz representers

We provide adaptive inference methods for linear functionals of L1-regularized linear approximations to the conditional expectation […]

Victor Chernozhukov, Whitney K. Newey, James Robins
2 March 2018 | CWP15/18
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
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
Cross-fitting and fast remainder rates for semiparametric estimation

There are many interesting and widely used estimators of a functional with finite semi-parametric variance bound […]

Whitney K. Newey, James M. Robins
3 October 2017 | CWP41/17
The bunching estimator cannot identify the taxable income elasticity

Saez (2010) introduced an influential estimator that has become known as the bunching estimator. Using this […]

Soren Blomquist, Whitney K. Newey
2 October 2017 | CWP40/17

Latest version

On Bunching and Identification of the Taxable Income Elasticity
Soren Blomquist, Anil Kumar, Che-Yuan Liang
21 October 2019 | CWP53/19
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
Semiparametric efficient empirical higher order influence function estimators

Robins et al. (2008, 2016b) applied the theory of higher order infuence functions (HOIFs) to derive […]

Rajarshi Mukherjee, Whitney K. Newey, James Robins
14 June 2017 | CWP30/17
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