Saved in:
| Main Author: | Maya, Cristian Espinal |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.02403 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Resistant Inference in Instrumental Variable Models
by: Klooster, Jens, et al.
Published: (2024)
by: Klooster, Jens, et al.
Published: (2024)
Quantifying Omitted Variable Bias in Nonlinear Instrumental Variable Estimators
by: Yen, Yu-Min
Published: (2026)
by: Yen, Yu-Min
Published: (2026)
Negative Control Falsification Tests for Instrumental Variable Designs
by: Danieli, Oren, et al.
Published: (2023)
by: Danieli, Oren, et al.
Published: (2023)
On Quantile Treatment Effects, Rank Similarity,and Variation of Instrumental Variables
by: Han, Sukjin, et al.
Published: (2025)
by: Han, Sukjin, et al.
Published: (2025)
Quasi-Bayes in Latent Variable Models
by: Kankanala, Sid
Published: (2023)
by: Kankanala, Sid
Published: (2023)
A Practical Guide to Instrumental Variables Methods with Heterogeneous Treatment Effects
by: Słoczyński, Tymon, et al.
Published: (2026)
by: Słoczyński, Tymon, et al.
Published: (2026)
Sensitivity Analysis for Instrumental Variables Under Joint Relaxations of Monotonicity and Independence
by: Picchetti, Pedro
Published: (2026)
by: Picchetti, Pedro
Published: (2026)
Iterative Estimation of Nonparametric Regressions with Continuous Endogenous Variables and Discrete Instruments
by: Centorrino, Samuele, et al.
Published: (2019)
by: Centorrino, Samuele, et al.
Published: (2019)
Possibilistic Instrumental Variable Regression
by: Steiner, Gregor, et al.
Published: (2025)
by: Steiner, Gregor, et al.
Published: (2025)
Testing the Exogeneity of Instrumental Variables and Regressors in Linear Regression Models Using Copulas
by: Emadi, Seyed Morteza
Published: (2024)
by: Emadi, Seyed Morteza
Published: (2024)
A Dimension-Agnostic Bootstrap Anderson-Rubin Test For Instrumental Variable Regressions
by: Lim, Dennis, et al.
Published: (2024)
by: Lim, Dennis, et al.
Published: (2024)
Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
by: Tan, Jiyuan, et al.
Published: (2026)
by: Tan, Jiyuan, et al.
Published: (2026)
Quasi-Bayesian Local Projection Instrumental-Variables Method: Application to Renewable Energy and Electricity Prices
by: Tanaka, Masahiro
Published: (2026)
by: Tanaka, Masahiro
Published: (2026)
The Falsification Adaptive Set in Linear Models with Instrumental Variables that Violate the Exclusion or Conditional Exogeneity Restriction
by: Apfel, Nicolas, et al.
Published: (2022)
by: Apfel, Nicolas, et al.
Published: (2022)
Bayesian Model Averaging in Causal Instrumental Variable Models
by: Steiner, Gregor, et al.
Published: (2025)
by: Steiner, Gregor, et al.
Published: (2025)
Treatment Effects with Targeting Instruments
by: Lee, Sokbae, et al.
Published: (2020)
by: Lee, Sokbae, et al.
Published: (2020)
Causal Inference on Outcomes Learned from Text
by: Modarressi, Iman, et al.
Published: (2025)
by: Modarressi, Iman, et al.
Published: (2025)
Mining Causality: AI-Assisted Search for Instrumental Variables
by: Han, Sukjin
Published: (2024)
by: Han, Sukjin
Published: (2024)
Complete Subset Averaging with Many Instruments
by: Lee, Seojeong, et al.
Published: (2018)
by: Lee, Seojeong, et al.
Published: (2018)
Double Machine Learning for Static Panel Data with Instrumental Variables: New Method and Applications
by: Baiardi, Anna, et al.
Published: (2026)
by: Baiardi, Anna, et al.
Published: (2026)
Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
by: Chernozhukov, Victor, et al.
Published: (2024)
by: Chernozhukov, Victor, et al.
Published: (2024)
Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM
by: DiTraglia, Francis J.
Published: (2014)
by: DiTraglia, Francis J.
Published: (2014)
Identification and Debiased Learning of Causal Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2025)
by: Chen, Shuyuan, et al.
Published: (2025)
One Instrument to Rule Them All: The Bias and Coverage of Just-ID IV
by: Angrist, Joshua, et al.
Published: (2021)
by: Angrist, Joshua, et al.
Published: (2021)
Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2026)
by: Chen, Shuyuan, et al.
Published: (2026)
Social Interactions Models with Latent Structures
by: Lin, Zhongjian, et al.
Published: (2026)
by: Lin, Zhongjian, et al.
Published: (2026)
Estimation of MIDAS Regressions with Errors-in-the-Variables
by: Kaur, Sukhbir, et al.
Published: (2026)
by: Kaur, Sukhbir, et al.
Published: (2026)
Benign Overfitting in Economic Forecasting via Noise Regularization
by: Liao, Yuan, et al.
Published: (2023)
by: Liao, Yuan, et al.
Published: (2023)
The Effect of Omitted Variables on the Sign of Regression Coefficients
by: Masten, Matthew A., et al.
Published: (2022)
by: Masten, Matthew A., et al.
Published: (2022)
Bayesian Inference for Confounding Variables and Limited Information
by: Scharfenaker, Ellis, et al.
Published: (2025)
by: Scharfenaker, Ellis, et al.
Published: (2025)
Limit Theorems for Network Dependent Random Variables
by: Kojevnikov, Denis, et al.
Published: (2019)
by: Kojevnikov, Denis, et al.
Published: (2019)
Bias-Reduced Estimation of Finite Mixtures: An Application to Latent Group Structures in Panel Data
by: Langevin, Raphaël
Published: (2026)
by: Langevin, Raphaël
Published: (2026)
Latent Variable Estimation in Bayesian Black-Litterman Models
by: Lin, Thomas Y. L., et al.
Published: (2025)
by: Lin, Thomas Y. L., et al.
Published: (2025)
Assessing Omitted Variable Bias when the Controls are Endogenous
by: Diegert, Paul, et al.
Published: (2022)
by: Diegert, Paul, et al.
Published: (2022)
Latent Gaussian dynamic factor modeling and forecasting for multivariate count time series
by: Kim, Younghoon, et al.
Published: (2023)
by: Kim, Younghoon, et al.
Published: (2023)
Modelling with Sensitive Variables
by: Chan, Felix, et al.
Published: (2024)
by: Chan, Felix, et al.
Published: (2024)
Life Sequence Transformer: Generative Modelling of Socio-Economic Trajectories from Administrative Data
by: Cabezas, Alberto, et al.
Published: (2025)
by: Cabezas, Alberto, et al.
Published: (2025)
Latent community paths in VAR-type models via dynamic directed spectral co-clustering
by: Kim, Younghoon, et al.
Published: (2026)
by: Kim, Younghoon, et al.
Published: (2026)
Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
by: Shen, Zikai, et al.
Published: (2026)
by: Shen, Zikai, et al.
Published: (2026)
Double/Debiased CoCoLASSO of Treatment Effects with Mismeasured High-Dimensional Control Variables
by: Kim, Geonwoo, et al.
Published: (2024)
by: Kim, Geonwoo, et al.
Published: (2024)
Similar Items
-
Resistant Inference in Instrumental Variable Models
by: Klooster, Jens, et al.
Published: (2024) -
Quantifying Omitted Variable Bias in Nonlinear Instrumental Variable Estimators
by: Yen, Yu-Min
Published: (2026) -
Negative Control Falsification Tests for Instrumental Variable Designs
by: Danieli, Oren, et al.
Published: (2023) -
On Quantile Treatment Effects, Rank Similarity,and Variation of Instrumental Variables
by: Han, Sukjin, et al.
Published: (2025) -
Quasi-Bayes in Latent Variable Models
by: Kankanala, Sid
Published: (2023)