174 citations · 446 across the 34 of their papers we have counts for
15 papers · 1 filter
Pragmatic DML with AI-Learned Representations
Andres Aradillas Fernandez, Victor Chernozhukov, Carlos Cinelli +5
Text, images, and other rich covariates are increasingly compressed into AI-learned representations and then used as controls in causal analysis. We study when this approach is val…
Continuously Updating GMM in Linear IV Models: A Polynomial Approach
Marcelo J. Moreira, Whitney K. Newey, Mahrad Sharifvaghefi
This paper characterizes the global minimum of the continuously updating generalized method of moments (CU-GMM) objective in linear instrumental variables models. We allow optimal…
Linear Estimation of Structural and Causal Effects for Nonseparable Panel Data
Victor Chernozhukov, Ben Deaner, Ying Gao +2
This paper develops linear estimators for structural and causal parameters of nonseparable models using panel data. These models incorporate unobserved, time-varying, individual he…
Higher-Order Neyman Orthogonality in Moment-Condition Models
Stéphane Bonhomme, Koen Jochmans, Whitney K. Newey +1
We construct moment functions that are Neyman-orthogonal to a chosen order in parametric moment condition models involving nuisance parameters. These moment functions reduce sensit…
Panel Estimation of Taxable Income Elasticities with Heterogeneity and Endogenous Budget Sets
Soren Blomquist, Anil Kumar, Whitney K. Newey
This paper introduces an estimator for the average of heterogeneous elasticities of taxable income (ETI), addressing key econometric challenges posed by nonlinear budget sets. Buil…
Efficient Bias Correction for Cross-section and Panel Data
Jinyong Hahn, David W. Hughes, Guido Kuersteiner +1
Bias correction can often improve the finite sample performance of estimators. We show that the choice of bias correction method has no effect on the higher-order variance of semip…
Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
Victor Chernozhukov, Whitney Newey, Rahul Singh +1
Many canonical models in causal inference and structural econometrics have recursive identification formulas. In causal inference, recursion arises when identification requires bot…
Long Story Short: Omitted Variable Bias in Causal Machine Learning
Victor Chernozhukov, Carlos Cinelli, Whitney Newey +2
We develop a general theory of omitted variable bias for a wide range of common causal parameters, including (but not limited to) averages of potential outcomes, average treatment…
Adversarial Estimation of Riesz Representers
Victor Chernozhukov, Whitney Newey, Rahul Singh +1
Many causal parameters are linear functionals of an underlying regression. The Riesz representer is a key component in the asymptotic variance of a semiparametrically estimated lin…
Heterogeneous Coefficients, Control Variables, and Identification of Multiple Treatment Effects
Whitney K. Newey, Sami Stouli
Multidimensional heterogeneity and endogeneity are important features of models with multiple treatments. We consider a heterogeneous coefficients model where the outcome is a line…
Testing the Drift-Diffusion Model
Drew Fudenberg, Whitney K. Newey, Philipp Strack +1
The drift diffusion model (DDM) is a model of sequential sampling with diffusion (Brownian) signals, where the decision maker accumulates evidence until the process hits a stopping…
Identification of Treatment Effects under Limited Exogenous Variation
Whitney K. Newey, Sami Stouli
Multidimensional heterogeneity and endogeneity are important features of a wide class of econometric models. With control variables to correct for endogeneity, nonparametric identi…
Control Variables, Discrete Instruments, and Identification of Structural Functions
Whitney Newey, Sami Stouli
Control variables provide an important means of controlling for endogeneity in econometric models with nonseparable and/or multidimensional heterogeneity. We allow for discrete ins…
Simultaneous Confidence Intervals for High-dimensional Linear Models with Many Endogenous Variables
Alexandre Belloni, Christian Hansen, Whitney Newey
High-dimensional linear models with endogenous variables play an increasingly important role in recent econometric literature. In this work we allow for models with many endogenous…
Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models
Victor Chernozhukov, Iván Fernández-Val, Whitney Newey +2
Triangular systems with nonadditively separable unobserved heterogeneity provide a theoretically appealing framework for the modelling of complex structural relationships. However,…