Imagen de Portada

Fragility in Average Treatment Effect on the Treated under Limited Covariate Support

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Li, Mengqi
Formato:	Preprint
Publicado:	2025
Materias:	Econometrics 62P20, 62F35, 62C12, 91B84 G.3; I.5.1; J.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Design-Robust Event-Study Estimation under Staggered Adoption Diagnostics, Sensitivity, and Orthogonalisation
por: Wright, Craig S
Publicado: (2026)

Range-Based Volatility Estimators for Monitoring Market Stress: Evidence from Local Food Price Data
por: Andrée, Bo Pieter Johannes
Publicado: (2026)

Economic Causal Inference Based on DML Framework: Python Implementation of Binary and Continuous Treatment Variables
por: Yao, Shunxin
Publicado: (2025)

Double Descent and Benign Overfitting in Macroeconomic Forecasting
por: Carriero, Andrea, et al.
Publicado: (2026)

Ill-Conditioned Orthogonal Scores in Double Machine Learning
por: Saco, Gabriel
Publicado: (2025)

Explainable Machine Learning for Macroeconomic and Financial Nowcasting: A Decision-Grade Framework for Business and Policy
por: Attolico, Luca
Publicado: (2025)

Inference for Local Projections
por: Inoue, Atsushi, et al.
Publicado: (2023)

Quantile Treatment Effects in High Dimensional Panel Data
por: Xu, Yihong, et al.
Publicado: (2025)

Unbiased Regression-Adjusted Estimation of Average Treatment Effects in Randomized Controlled Trials
por: Abadie, Alberto, et al.
Publicado: (2025)

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
por: Lai, Shanyan
Publicado: (2025)

Opening the Black Box: Nowcasting Singapore's GDP Growth and its Explainability
por: Attolico, Luca
Publicado: (2025)

Nonlinear Fore(Back)casting and Innovation Filtering for Causal-Noncausal VAR Models
por: Gourieroux, Christian, et al.
Publicado: (2022)

Identification of Latent Group Effects under Conditional Calibration
por: Kurbucz, Marcell T.
Publicado: (2026)

SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction
por: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Publicado: (2026)

Nonlinear Temperature Sensitivity of Residential Electricity Demand: Evidence from a Distributional Regression Approach
por: Nam, Kyungsik, et al.
Publicado: (2025)

Reconstructing Subnational Labor Indicators in Colombia: An Integrated Machine and Deep Learning Approach
por: Vera-Jaramillo, Jaime
Publicado: (2025)

Identification in (Endogenously) Nonlinear SVARs Is Easier Than You Think
por: Duffy, James A., et al.
Publicado: (2026)

Can Renewable Energy Mitigate Inflationary Pressures from Energy Imports? Evidence from Turkiye
por: Akusta, Emre
Publicado: (2026)

Differentially Private Truncation of Unbounded Data via Public Second Moments
por: Cao, Zilong, et al.
Publicado: (2026)

Is Causality Necessary for Efficient Portfolios? A Computational Perspective on Predictive Validity and Model Misspecification
por: Dominguez, Alejandro Rodriguez
Publicado: (2025)

FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
por: Frommlet, Florian, et al.
Publicado: (2025)

Multiple Imputation Methods under Extreme Values
por: Brasil, Enzo Porto
Publicado: (2026)

Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
por: Alpay, Faruk, et al.
Publicado: (2025)

Impact of rainfall risk on rice production: realized volatility in mean model
por: Ghosh, Soham, et al.
Publicado: (2025)

Probabilistic Scenario-Based Assessment of National Food Security Risks with Application to Egypt and Ethiopia
por: Koundouri, Phoebe, et al.
Publicado: (2023)

The Impact of Natural Disasters on Food Security in Turkiye
por: Cergibozan, Raif, et al.
Publicado: (2025)

GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems
por: Li, Jia Ming, et al.
Publicado: (2026)

Latent Variable Modelling by Supervised Diffusion
por: Bargman, Daniil
Publicado: (2025)

Determinants of Workplace Flextime Flexibility: An Empirical Analysis
por: Maya, Cristian Espinal, et al.
Publicado: (2024)

Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
por: Dai, Fan, et al.
Publicado: (2026)

Functional Clustering of Discount Functions for Behavioral Investor Profiling
por: Porreca, Annamaria, et al.
Publicado: (2024)

From Data Acquisition to Lag Modeling: Quantitative Exploration of A-Share Market with Low-Coupling System Design
por: Fang, Jianyong, et al.
Publicado: (2025)

From interpretability to inference: an estimation framework for universal approximators
por: Joseph, Andreas
Publicado: (2019)

A New Stock Market Valuation Measure with Applications to Retirement Planning
por: Sarantsev, Andrey
Publicado: (2019)

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

Subsample-Based Estimation under Dynamic Contamination
por: Yang, Yukai, et al.
Publicado: (2026)

A semiparametric generalized exponential regression model with a principled distance-based prior
por: Dey, Arijit, et al.
Publicado: (2023)

A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
por: Bark, Stephan, et al.
Publicado: (2026)

Machine Collaboration
por: Liu, Qingfeng, et al.
Publicado: (2021)

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
por: Loffredo, Giuseppe, et al.
Publicado: (2025)