Cover Image

Automatic Debiased Machine Learning of Structural Parameters with General Conditional Moments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Argañaraz, Facundo
Format:	Preprint
Published:	2025
Subjects:	Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning Debiasing with Conditional Moment Restrictions: An Application to LATE
by: Argañaraz, Facundo, et al.
Published: (2024)

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models
by: Argañaraz, Facundo, et al.
Published: (2025)

Randomly Assigned First Differences?
by: Argañaraz, Facundo, et al.
Published: (2024)

Debiased Machine Learning when Nuisance Parameters Appear in Indicator Functions
by: Park, Gyungbae
Published: (2024)

Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters
by: Semenova, Vira
Published: (2023)

Debiased Machine Learning U-statistics
by: Escanciano, Juan Carlos, et al.
Published: (2022)

On the Asymptotic Properties of Debiased Machine Learning Estimators
by: Velez, Amilcar
Published: (2024)

Double/Debiased Machine Learning for Treatment and Causal Parameters
by: Chernozhukov, Victor, et al.
Published: (2016)

genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression
by: Kato, Masahiro
Published: (2026)

Automatic Locally Robust GMM with Machine-Learning-Generated Regressors
by: Escanciano, Juan Carlos, et al.
Published: (2023)

Neighborhood Stability in Double/Debiased Machine Learning with Dependent Data
by: Cao, Jianfei, et al.
Published: (2025)

Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters
by: Dalal, Abhinandan, et al.
Published: (2024)

An Introduction to Double/Debiased Machine Learning
by: Ahrens, Achim, et al.
Published: (2025)

Cross-Fitting-Free Debiased Machine Learning with Multiway Dependence
by: Chen, Kaicheng, et al.
Published: (2026)

Higher-Order Debiased Estimators for General Treatment Models
by: Zhang, Yulin, et al.
Published: (2026)

Unified Inference on Moment Restrictions with Nuisance Parameters
by: Li, Xingyu, et al.
Published: (2022)

Semiparametric Bayesian Inference for a Conditional Moment Equality Model
by: Walker, Christopher D.
Published: (2024)

Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning
by: Haddad, Michel F. C., et al.
Published: (2024)

Optimally-Transported Generalized Method of Moments
by: Schennach, Susanne, et al.
Published: (2025)

Convexity Not Required: Estimation of Smooth Moment Condition Models
by: Forneron, Jean-Jacques, et al.
Published: (2023)

Estimation of Heterogeneous Treatment Effects Using a Conditional Moment Based Approach
by: Sun, Xiaolin
Published: (2022)

Partial Identification in Moment Models with Incomplete Data--A Conditional Optimal Transport Approach
by: Fan, Yanqin, et al.
Published: (2025)

Testing Identifying Assumptions in Parametric Separable Models: A Conditional Moment Inequality Approach
by: Goff, Leonard, et al.
Published: (2024)

Noisy, Non-Smooth, Non-Convex Estimation of Moment Condition Models
by: Forneron, Jean-Jacques
Published: (2023)

Higher-Order Neyman Orthogonality in Moment-Condition Models
by: Bonhomme, Stéphane, et al.
Published: (2026)

Direct Debiased Machine Learning via Bregman Divergence Minimization
by: Kato, Masahiro
Published: (2025)

Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
by: Kato, Masahiro
Published: (2024)

Moments by Integrating the Moment-Generating Function
by: Hansen, Peter Reinhard, et al.
Published: (2024)

Modified Delayed Acceptance MCMC for Quasi-Bayesian Inference with Linear Moment Conditions
by: Tanaka, Masahiro
Published: (2025)

Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration
by: Ballinari, Daniele, et al.
Published: (2024)

Debiasing and $t$-tests for synthetic control inference on average causal effects
by: Chernozhukov, Victor, et al.
Published: (2018)

Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities
by: Leng, Xuan, et al.
Published: (2023)

Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators
by: Lee, Seojeong
Published: (2018)

From Predictive Algorithms to Automatic Generation of Anomalies
by: Mullainathan, Sendhil, et al.
Published: (2024)

Automatic Debiased Machine Learning via Riesz Regression
by: Chernozhukov, Victor, et al.
Published: (2021)

A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting
by: Wu, Zeqi, et al.
Published: (2025)

(Debiased) Inference for Fixed Effects Estimators with Three-Dimensional Panel and Network Data
by: Czarnowske, Daniel, et al.
Published: (2025)

On a Debiased and Semiparametric Efficient Changes-in-Changes Estimator
by: Sun, Jinghao, et al.
Published: (2025)

Pairwise Difference Representations of Moments: Gini and Generalized Lagrange identities
by: Dufour, Jean-Marie, et al.
Published: (2025)

Non-Existent Moments of Earnings Growth
by: Sarpietro, Silvia, et al.
Published: (2022)