Linear Regression with Weak Exogeneity
Fuente:
arXiv
Saved in:
| Main Authors: | Mikusheva, Anna, Sølvsten, Mikkel |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Estimation and exclusion restrictions in clustered linear models
by: Mikusheva, Anna, et al.
Published: (2025)
by: Mikusheva, Anna, 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)
Weak Identification with Many Instruments
by: Mikusheva, Anna, et al.
Published: (2023)
by: Mikusheva, Anna, et al.
Published: (2023)
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)
Contamination Bias in Linear Regressions
by: Goldsmith-Pinkham, Paul, et al.
Published: (2021)
by: Goldsmith-Pinkham, Paul, et al.
Published: (2021)
Linear Regressions with Combined Data
by: D'Haultfoeuille, Xavier, et al.
Published: (2024)
by: D'Haultfoeuille, Xavier, et al.
Published: (2024)
PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025)
by: Ghosh, Aditya, et al.
Published: (2025)
Identification of Treatment Effects under Limited Exogenous Variation
by: Newey, Whitney K., et al.
Published: (2018)
by: Newey, Whitney K., et al.
Published: (2018)
Performance of Empirical Risk Minimization for Linear Regression with Dependent Data
by: Brownlees, Christian, et al.
Published: (2021)
by: Brownlees, Christian, et al.
Published: (2021)
Assessing Sensitivity to IV Exclusion and Exogeneity without First Stage Monotonicity
by: Diegert, Paul, et al.
Published: (2026)
by: Diegert, Paul, et al.
Published: (2026)
Doubly Robust Estimators with Weak Overlap
by: Ma, Yukun, et al.
Published: (2023)
by: Ma, Yukun, et al.
Published: (2023)
Forward Regression via Gram-Schmidt Orthogonalization for Ultra-High Dimensional Linear Models
by: Chen, Jialuo, et al.
Published: (2025)
by: Chen, Jialuo, et al.
Published: (2025)
High-dimensional estimation of quadratic variation based on penalized realized variance
by: Christensen, Kim, et al.
Published: (2021)
by: Christensen, Kim, et al.
Published: (2021)
Bias Correction in Factor-Augmented Regression Models with Weak Factors
by: Jiang, Peiyun, et al.
Published: (2025)
by: Jiang, Peiyun, et al.
Published: (2025)
Gimbal Regression: Orientation-Adaptive Local Linear Regression under Spatial Heterogeneity
by: Otani, Yuichiro
Published: (2026)
by: Otani, Yuichiro
Published: (2026)
Linear Multidimensional Regression with Interactive Fixed-Effects
by: Freeman, Hugo
Published: (2022)
by: Freeman, Hugo
Published: (2022)
Nonparametric Identification of Demand without Exogenous Product Characteristics
by: Borusyak, Kirill, et al.
Published: (2025)
by: Borusyak, Kirill, et al.
Published: (2025)
Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)
by: Soale, Abdul-Nasah, et al.
Published: (2023)
Synthetic Regressing Control
by: Zhu, Rong J. B.
Published: (2023)
by: Zhu, Rong J. B.
Published: (2023)
Rectified Linear Unit Regression
by: Oka, Tatsushi
Published: (2026)
by: Oka, Tatsushi
Published: (2026)
Regressions under Adverse Conditions
by: Dimitriadis, Timo, et al.
Published: (2023)
by: Dimitriadis, Timo, et al.
Published: (2023)
Weighted Regression with Sybil Networks
by: Shah, Nihar
Published: (2024)
by: Shah, Nihar
Published: (2024)
Distribution Regression with Censored Selection
by: Fernandez-Val, Ivan, et al.
Published: (2025)
by: Fernandez-Val, Ivan, et al.
Published: (2025)
Persuasion Effects in Regression Discontinuity Designs
by: Jun, Sung Jae, et al.
Published: (2025)
by: Jun, Sung Jae, et al.
Published: (2025)
Automatic Inference for Value-Added Regressions
by: Xie, Tian
Published: (2025)
by: Xie, Tian
Published: (2025)
Nonparametric Regression under Cluster Sampling
by: Shimizu, Yuya
Published: (2024)
by: Shimizu, Yuya
Published: (2024)
Manipulation-Robust Regression Discontinuity Designs
by: Ishihara, Takuya, et al.
Published: (2020)
by: Ishihara, Takuya, et al.
Published: (2020)
Panel Quantile Regression with Common Shocks
by: Chiang, Harold D., et al.
Published: (2026)
by: Chiang, Harold D., et al.
Published: (2026)
Dealing with Logs and Zeros in Regression Models
by: Benatia, David, et al.
Published: (2022)
by: Benatia, David, et al.
Published: (2022)
Semiparametric Inference for Regression-Discontinuity Designs
by: Jiang, Weiwei, et al.
Published: (2024)
by: Jiang, Weiwei, et al.
Published: (2024)
Estimation of MIDAS Regressions with Errors-in-the-Variables
by: Kaur, Sukhbir, et al.
Published: (2026)
by: Kaur, Sukhbir, et al.
Published: (2026)
Inference in Regression Discontinuity Designs with Clustered Data
by: Noack, Claudia, et al.
Published: (2026)
by: Noack, Claudia, et al.
Published: (2026)
Does Regression Produce Representative Causal Rankings?
by: Lal, Apoorva
Published: (2024)
by: Lal, Apoorva
Published: (2024)
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)
Extrapolation in Regression Discontinuity Design Using Comonotonicity
by: Deaner, Ben, et al.
Published: (2025)
by: Deaner, Ben, et al.
Published: (2025)
Regression Discontinuity Design with Potentially Many Covariates
by: Arai, Yoichi, et al.
Published: (2021)
by: Arai, Yoichi, et al.
Published: (2021)
Noise-Induced Randomization in Regression Discontinuity Designs
by: Eckles, Dean, et al.
Published: (2020)
by: Eckles, Dean, et al.
Published: (2020)
Treatment Effect Heterogeneity in Regression Discontinuity Designs
by: Calonico, Sebastian, et al.
Published: (2025)
by: Calonico, Sebastian, et al.
Published: (2025)
Testing for Stationary or Persistent Coefficient Randomness in Predictive Regressions
by: Nishi, Mikihito
Published: (2023)
by: Nishi, Mikihito
Published: (2023)
Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions
by: Spady, Richard, et al.
Published: (2020)
by: Spady, Richard, et al.
Published: (2020)
Similar Items
-
Estimation and exclusion restrictions in clustered linear models
by: Mikusheva, Anna, et al.
Published: (2025) -
Testing the Exogeneity of Instrumental Variables and Regressors in Linear Regression Models Using Copulas
by: Emadi, Seyed Morteza
Published: (2024) -
Weak Identification with Many Instruments
by: Mikusheva, Anna, et al.
Published: (2023) -
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) -
Contamination Bias in Linear Regressions
by: Goldsmith-Pinkham, Paul, et al.
Published: (2021)