Saved in:
| Main Author: | Yamin, Juan C. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.18188 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia
by: Martinez, Rolando Gonzales, et al.
Published: (2025)
by: Martinez, Rolando Gonzales, et al.
Published: (2025)
Production Function Estimation without Invertibility: Imperfectly Competitive Environments and Demand Shocks
by: Doraszelski, Ulrich, et al.
Published: (2025)
by: Doraszelski, Ulrich, et al.
Published: (2025)
Challenges in Statistically Rejecting the Perfect Competition Hypothesis Using Imperfect Competition Data
by: Matsumura, Yuri, et al.
Published: (2023)
by: Matsumura, Yuri, et al.
Published: (2023)
Identification and Inference on Treatment Effects under Covariate-Adaptive Randomization and Imperfect Compliance
by: Bugni, Federico A., et al.
Published: (2024)
by: Bugni, Federico A., et al.
Published: (2024)
Relative Bias Under Imperfect Identification in Observational Causal Inference
by: Huang, Melody, et al.
Published: (2025)
by: Huang, Melody, et al.
Published: (2025)
Inference in Experiments with Matched Pairs and Imperfect Compliance
by: Bai, Yuehao, et al.
Published: (2023)
by: Bai, Yuehao, et al.
Published: (2023)
Finite Population Inference for Factorial Designs and Panel Experiments with Imperfect Compliance
by: Picchetti, Pedro
Published: (2026)
by: Picchetti, Pedro
Published: (2026)
Testing for Restricted Stochastic Dominance under Survey Nonresponse with Panel Data: Theory and an Evaluation of Poverty in Australia
by: Tabri, Rami V., et al.
Published: (2024)
by: Tabri, Rami V., et al.
Published: (2024)
Estimating Long Run Welfare Outcome in Rotating Panel with Grouped Fixed Effects: Application to Poverty Dynamics in Peru
by: Zhao, Hongdi, et al.
Published: (2026)
by: Zhao, Hongdi, et al.
Published: (2026)
Probabilistic Targeted Factor Analysis
by: Herculano, Miguel C., et al.
Published: (2024)
by: Herculano, Miguel C., et al.
Published: (2024)
Measuring Diagnostic Test Performance Using Imperfect Reference Tests: A Partial Identification Approach
by: Obradović, Filip
Published: (2022)
by: Obradović, Filip
Published: (2022)
Targeted Local Projections
by: Nemtyrev, Aleksei, et al.
Published: (2026)
by: Nemtyrev, Aleksei, et al.
Published: (2026)
Robust Network Targeting with Multiple Nash Equilibria
by: Wang, Guanyi
Published: (2024)
by: Wang, Guanyi
Published: (2024)
Leave No One Undermined: Policy Targeting with Regret Aversion
by: Kitagawa, Toru, et al.
Published: (2025)
by: Kitagawa, Toru, et al.
Published: (2025)
Treatment Effects with Targeting Instruments
by: Lee, Sokbae, et al.
Published: (2020)
by: Lee, Sokbae, et al.
Published: (2020)
Beyond the Average: Distributional Causal Inference under Imperfect Compliance
by: Byambadalai, Undral, et al.
Published: (2025)
by: Byambadalai, Undral, et al.
Published: (2025)
Non-linear Triple Changes Estimator for Targeted Policies
by: Akbari, Sina, et al.
Published: (2024)
by: Akbari, Sina, et al.
Published: (2024)
Inflation Target at Risk: A Time-varying Parameter Distributional Regression
by: Wang, Yunyun, et al.
Published: (2024)
by: Wang, Yunyun, et al.
Published: (2024)
Information-Enriched Selection of Stationary and Non-Stationary Autoregressions using the Adaptive Lasso
by: Reinschlüssel, Thilo, et al.
Published: (2024)
by: Reinschlüssel, Thilo, et al.
Published: (2024)
Monthly GDP nowcasting with Machine Learning and Unstructured Data
by: Tenorio, Juan, et al.
Published: (2024)
by: Tenorio, Juan, et al.
Published: (2024)
Testing Information Ordering for Strategic Agents
by: Han, Sukjin, et al.
Published: (2024)
by: Han, Sukjin, et al.
Published: (2024)
Identification with Posterior-Separable Information Costs
by: Bustos, Martin
Published: (2024)
by: Bustos, Martin
Published: (2024)
Testing Conditional Stochastic Dominance at Target Points
by: Bugni, Federico A., et al.
Published: (2025)
by: Bugni, Federico A., et al.
Published: (2025)
Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models
by: Argañaraz, Facundo, et al.
Published: (2025)
by: Argañaraz, Facundo, et al.
Published: (2025)
Tracking the economy at high frequency
by: García-Albán, Freddy, et al.
Published: (2025)
by: García-Albán, Freddy, et al.
Published: (2025)
Machine Learning Debiasing with Conditional Moment Restrictions: An Application to LATE
by: Argañaraz, Facundo, et al.
Published: (2024)
by: Argañaraz, Facundo, et al.
Published: (2024)
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods
by: Escanciano, Juan Carlos, et al.
Published: (2024)
by: Escanciano, Juan Carlos, et al.
Published: (2024)
Uncovering Sparse Financial Networks with Information Criteria
by: Ouyang, Fu, et al.
Published: (2026)
by: Ouyang, Fu, et al.
Published: (2026)
Interpreting TSLS Estimators in Information Provision Experiments
by: Vilfort, Vod, et al.
Published: (2023)
by: Vilfort, Vod, et al.
Published: (2023)
Stable Outcomes and Information in Games: An Empirical Framework
by: Koh, Paul S.
Published: (2022)
by: Koh, Paul S.
Published: (2022)
Identifying Causal Effects in Information Provision Experiments
by: Balla-Elliott, Dylan
Published: (2023)
by: Balla-Elliott, Dylan
Published: (2023)
Testing for Asymmetric Information in Insurance with Deep Learning
by: Maliar, Serguei, et al.
Published: (2024)
by: Maliar, Serguei, et al.
Published: (2024)
Automatic Locally Robust GMM with Machine-Learning-Generated Regressors
by: Escanciano, Juan Carlos, et al.
Published: (2023)
by: Escanciano, Juan Carlos, et al.
Published: (2023)
Debiased Machine Learning U-statistics
by: Escanciano, Juan Carlos, et al.
Published: (2022)
by: Escanciano, Juan Carlos, et al.
Published: (2022)
Regularizing Fairness in Optimal Policy Learning with Distributional Targets
by: Kock, Anders Bredahl, et al.
Published: (2024)
by: Kock, Anders Bredahl, et al.
Published: (2024)
An Empirical Framework for Discrete Games with Costly Information Acquisition
by: Jeong, Youngjae
Published: (2025)
by: Jeong, Youngjae
Published: (2025)
Identification and Estimation of Dynamic Games with Unknown Information Structure
by: Hara, Konan, et al.
Published: (2022)
by: Hara, Konan, et al.
Published: (2022)
Testing for Monotone Equilibrium Strategies in Games of Incomplete Information
by: Hsu, Yu-Chin, et al.
Published: (2026)
by: Hsu, Yu-Chin, et al.
Published: (2026)
Identification and Estimation in Fuzzy Regression Discontinuity Designs with Covariates
by: Caetano, Carolina, et al.
Published: (2026)
by: Caetano, Carolina, et al.
Published: (2026)
The Informativeness of Combined Experimental and Observational Data under Dynamic Selection
by: Park, Yechan, et al.
Published: (2024)
by: Park, Yechan, et al.
Published: (2024)
Similar Items
-
Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia
by: Martinez, Rolando Gonzales, et al.
Published: (2025) -
Production Function Estimation without Invertibility: Imperfectly Competitive Environments and Demand Shocks
by: Doraszelski, Ulrich, et al.
Published: (2025) -
Challenges in Statistically Rejecting the Perfect Competition Hypothesis Using Imperfect Competition Data
by: Matsumura, Yuri, et al.
Published: (2023) -
Identification and Inference on Treatment Effects under Covariate-Adaptive Randomization and Imperfect Compliance
by: Bugni, Federico A., et al.
Published: (2024) -
Relative Bias Under Imperfect Identification in Observational Causal Inference
by: Huang, Melody, et al.
Published: (2025)