Saved in:
| Main Author: | Boussim, Onil |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.05551 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Identifying treatment effects on categorical outcomes in IV models
by: Boussim, Onil
Published: (2025)
by: Boussim, Onil
Published: (2025)
Correcting Sample Selection Bias in PISA Rankings
by: Boussim, Onil
Published: (2023)
by: Boussim, Onil
Published: (2023)
Compositional difference-in-differences
by: Boussim, Onil
Published: (2025)
by: Boussim, Onil
Published: (2025)
Changes-In-Changes For Discrete Treatment
by: Boussim, Onil
Published: (2024)
by: Boussim, Onil
Published: (2024)
Addressing sample selection bias for machine learning methods
by: Dylan Brewer, et al.
Published: (2024)
by: Dylan Brewer, et al.
Published: (2024)
Teacher bias or measurement error?
by: van Huizen, Thomas, et al.
Published: (2024)
by: van Huizen, Thomas, et al.
Published: (2024)
Trends and biases in the social cost of carbon
by: Tol, Richard S. J.
Published: (2024)
by: Tol, Richard S. J.
Published: (2024)
A bias test for heteroscedastic linear least-squares regression
by: Blankmeyer, Eric
Published: (2025)
by: Blankmeyer, Eric
Published: (2025)
A jackknife bias correction for nonlinear network data models with fixed effects
by: Hughes, David W.
Published: (2022)
by: Hughes, David W.
Published: (2022)
Double machine learning for causal inference in a multivariate sample selection model
by: Dolgikh, Sofiia, et al.
Published: (2025)
by: Dolgikh, Sofiia, et al.
Published: (2025)
Locally robust semiparametric estimation of sample selection models without exclusion restrictions
by: Pan, Zhewen, et al.
Published: (2024)
by: Pan, Zhewen, et al.
Published: (2024)
Dyadic data with ordered outcome variables
by: Muris, Chris, et al.
Published: (2025)
by: Muris, Chris, et al.
Published: (2025)
Heterogeneity in peer effects for binary outcomes
by: Lambotte, Mathieu
Published: (2025)
by: Lambotte, Mathieu
Published: (2025)
Corrected Forecast Combinations
by: Liu, Chu-An, et al.
Published: (2026)
by: Liu, Chu-An, et al.
Published: (2026)
When does IV identification not restrict outcomes?
by: Goff, Leonard
Published: (2024)
by: Goff, Leonard
Published: (2024)
Identifying causal effects with subjective ordinal outcomes
by: Goff, Leonard
Published: (2022)
by: Goff, Leonard
Published: (2022)
Can language models boost the power of randomized experiments without statistical bias?
by: Ruan, Xinrui, et al.
Published: (2025)
by: Ruan, Xinrui, et al.
Published: (2025)
An empirical estimate of the electricity supply curve from market outcomes
by: Canales, Jorge Sánchez, et al.
Published: (2025)
by: Canales, Jorge Sánchez, et al.
Published: (2025)
Identification and inference of outcome conditioned partial effects of general interventions
by: Zhang, Zhengyu, et al.
Published: (2024)
by: Zhang, Zhengyu, et al.
Published: (2024)
Correcting Attrition Bias using Changes-in-Changes
by: Ghanem, Dalia, et al.
Published: (2022)
by: Ghanem, Dalia, et al.
Published: (2022)
Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification
by: Huber, Florian, et al.
Published: (2023)
by: Huber, Florian, et al.
Published: (2023)
Model selection confidence sets for time series models with applications to electricity load data
by: De Bortoli, Piersilvio, et al.
Published: (2026)
by: De Bortoli, Piersilvio, et al.
Published: (2026)
Automatic debiased machine learning and sensitivity analysis for sample selection models
by: Bjelac, Jakob, et al.
Published: (2026)
by: Bjelac, Jakob, et al.
Published: (2026)
A Doubly Corrected Robust Variance Estimator for Linear GMM
by: Hwang, Jungbin, et al.
Published: (2019)
by: Hwang, Jungbin, et al.
Published: (2019)
Data-driven model selection within the matrix completion method for causal panel data models
by: Heiniger, Sandro
Published: (2024)
by: Heiniger, Sandro
Published: (2024)
Endogeneity Corrections in Binary Outcome Models with Nonlinear Transformations: Identification and Inference
by: Mayer, Alexander, et al.
Published: (2024)
by: Mayer, Alexander, et al.
Published: (2024)
Correcting Nonresponse Bias Using Panel Data on Data Requests and Responses
by: Harris, Clint, et al.
Published: (2024)
by: Harris, Clint, et al.
Published: (2024)
Correcting invalid regression discontinuity designs with multiple time period data
by: Leventer, Dor, et al.
Published: (2024)
by: Leventer, Dor, et al.
Published: (2024)
Principal component analysis in econometrics: a selective inference perspective
by: Matsumura, Yasuyuki, et al.
Published: (2025)
by: Matsumura, Yasuyuki, et al.
Published: (2025)
Structural breaks detection and variable selection in dynamic linear regression via the Iterative Fused LASSO in high dimension
by: Milfont, Angelo, et al.
Published: (2025)
by: Milfont, Angelo, et al.
Published: (2025)
A simple distributional difference-in-differences estimator for univariate and bivariate outcomes
by: Fernández-Val, Iván, et al.
Published: (2024)
by: Fernández-Val, Iván, et al.
Published: (2024)
Using Experiments to Correct for Selection in Observational Studies
by: Athey, Susan, et al.
Published: (2020)
by: Athey, Susan, et al.
Published: (2020)
How to Detect Network Dependence in Latent Factor Models? A Bias-Corrected CD Test
by: Pesaran, M. Hashem, et al.
Published: (2021)
by: Pesaran, M. Hashem, et al.
Published: (2021)
Efficient Bias Correction for Cross-section and Panel Data
by: Hahn, Jinyong, et al.
Published: (2022)
by: Hahn, Jinyong, et al.
Published: (2022)
Agglomerative hierarchical clustering for selecting valid instrumental variables
by: Nicolas Apfel, et al.
Published: (2024)
by: Nicolas Apfel, et al.
Published: (2024)
Use of surrogate endpoints in health technology assessment: a review of selected NICE technology appraisals in oncology
by: Wheaton, Lorna, et al.
Published: (2024)
by: Wheaton, Lorna, et al.
Published: (2024)
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation
by: Lennon, Connor, et al.
Published: (2025)
by: Lennon, Connor, et al.
Published: (2025)
Correction to “Heterogeneity and Dynamics in Network Models”
Published: (2025)
Published: (2025)
Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples
by: De Nicolò, Silvia, et al.
Published: (2021)
by: De Nicolò, Silvia, et al.
Published: (2021)
IV regression with distribution-valued outcomes
by: Van Dijcke, David, et al.
Published: (2026)
by: Van Dijcke, David, et al.
Published: (2026)
Similar Items
-
Identifying treatment effects on categorical outcomes in IV models
by: Boussim, Onil
Published: (2025) -
Correcting Sample Selection Bias in PISA Rankings
by: Boussim, Onil
Published: (2023) -
Compositional difference-in-differences
by: Boussim, Onil
Published: (2025) -
Changes-In-Changes For Discrete Treatment
by: Boussim, Onil
Published: (2024) -
Addressing sample selection bias for machine learning methods
by: Dylan Brewer, et al.
Published: (2024)