Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia
Fuente:
arXiv
Saved in:
| Main Authors: | Martinez, Rolando Gonzales, Cooray, Mariza |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tracking the Hidden Forces Behind Laos' 2022 Exchange Rate Crisis and Balance of Payments Instability
by: Cooray, Mariza, et al.
Published: (2025)
by: Cooray, Mariza, et al.
Published: (2025)
Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights from Synthetic Data Validation
by: Li, Ziqi, et al.
Published: (2025)
by: Li, Ziqi, et al.
Published: (2025)
Navigating Inflation in Ghana: How Can Machine Learning Enhance Economic Stability and Growth Strategies
by: Baidoo, Theophilus G., et al.
Published: (2024)
by: Baidoo, Theophilus G., et al.
Published: (2024)
Macroeconomic Forecasting and Machine Learning
by: Chi, Ta-Chung, et al.
Published: (2025)
by: Chi, Ta-Chung, et al.
Published: (2025)
Dual Interpretation of Machine Learning Forecasts
by: Coulombe, Philippe Goulet, et al.
Published: (2024)
by: Coulombe, Philippe Goulet, et al.
Published: (2024)
Model Averaging and Double Machine Learning
by: Ahrens, Achim, et al.
Published: (2024)
by: Ahrens, Achim, et al.
Published: (2024)
Causal Machine Learning for Moderation Effects
by: Bearth, Nora, et al.
Published: (2024)
by: Bearth, Nora, et al.
Published: (2024)
Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal
by: Athey, Susan, et al.
Published: (2023)
by: Athey, Susan, et al.
Published: (2023)
The Uncertainty of Machine Learning Predictions in Asset Pricing
by: Liao, Yuan, et al.
Published: (2025)
by: Liao, Yuan, et al.
Published: (2025)
Unemployment Dynamics Forecasting with Machine Learning Regression Models
by: Kim, Kyungsu
Published: (2025)
by: Kim, Kyungsu
Published: (2025)
Inference for Regression with Variables Generated by AI or Machine Learning
by: Battaglia, Laura, et al.
Published: (2024)
by: Battaglia, Laura, et al.
Published: (2024)
Cross-Fitting-Free Debiased Machine Learning with Multiway Dependence
by: Chen, Kaicheng, et al.
Published: (2026)
by: Chen, Kaicheng, et al.
Published: (2026)
Double Machine Learning for Static Panel Models with Fixed Effects
by: Clarke, Paul S., et al.
Published: (2023)
by: Clarke, Paul S., et al.
Published: (2023)
Double Machine Learning for Causal Inference under Shared-State Interference
by: Hays, Chris, et al.
Published: (2025)
by: Hays, Chris, et al.
Published: (2025)
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
by: Bach, Philipp, et al.
Published: (2024)
by: Bach, Philipp, et al.
Published: (2024)
Explainable AI in Spatial Analysis
by: Li, Ziqi
Published: (2025)
by: Li, Ziqi
Published: (2025)
A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches
by: Lyu, Boge, et al.
Published: (2025)
by: Lyu, Boge, et al.
Published: (2025)
Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning
by: Haddad, Michel F. C., et al.
Published: (2024)
by: Haddad, Michel F. C., et al.
Published: (2024)
An Introduction to Double/Debiased Machine Learning
by: Ahrens, Achim, et al.
Published: (2025)
by: Ahrens, Achim, et al.
Published: (2025)
Machine-Learning-Assisted Comparison of Regression Functions
by: Yan, Jian, et al.
Published: (2025)
by: Yan, Jian, et al.
Published: (2025)
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances
by: Balzer, Michael
Published: (2025)
by: Balzer, Michael
Published: (2025)
Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration
by: Ballinari, Daniele, et al.
Published: (2024)
by: Ballinari, Daniele, et al.
Published: (2024)
Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction
by: Zeng, Hao, et al.
Published: (2024)
by: Zeng, Hao, et al.
Published: (2024)
Policy-Oriented Binary Classification: Improving (KD-)CART Final Splits for Subpopulation Targeting
by: Wang, Lei Bill, et al.
Published: (2025)
by: Wang, Lei Bill, et al.
Published: (2025)
Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
by: Fuhr, Jonathan, et al.
Published: (2024)
by: Fuhr, Jonathan, et al.
Published: (2024)
Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions
by: Fuhr, Jonathan, et al.
Published: (2024)
by: Fuhr, Jonathan, et al.
Published: (2024)
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)
xtdml: Double Machine Learning Estimation to Static Panel Data Models with Fixed Effects in R
by: Polselli, Annalivia
Published: (2025)
by: Polselli, Annalivia
Published: (2025)
Poverty Targeting with Imperfect Information
by: Yamin, Juan C.
Published: (2025)
by: Yamin, Juan C.
Published: (2025)
Double/Debiased Machine Learning for Treatment and Causal Parameters
by: Chernozhukov, Victor, et al.
Published: (2016)
by: Chernozhukov, Victor, et al.
Published: (2016)
Bellman Calibration for $V$-Learning in Offline Reinforcement Learning
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning
by: Rombouts, Jeroen, et al.
Published: (2024)
by: Rombouts, Jeroen, et al.
Published: (2024)
Policy Learning with Abstention
by: Sawarni, Ayush, et al.
Published: (2025)
by: Sawarni, Ayush, et al.
Published: (2025)
Policy Learning with Competing Agents
by: Sahoo, Roshni, et al.
Published: (2022)
by: Sahoo, Roshni, et al.
Published: (2022)
Post Reinforcement Learning Inference
by: Syrgkanis, Vasilis, et al.
Published: (2023)
by: Syrgkanis, Vasilis, et al.
Published: (2023)
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R
by: Bach, Philipp, et al.
Published: (2021)
by: Bach, Philipp, et al.
Published: (2021)
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
by: Schwarz, Philipp, et al.
Published: (2024)
by: Schwarz, Philipp, et al.
Published: (2024)
Double Machine Learning at Scale to Predict Causal Impact of Customer Actions
by: More, Sushant, et al.
Published: (2024)
by: More, Sushant, et al.
Published: (2024)
Causal Multi-Task Demand Learning
by: Gupta, Varun, et al.
Published: (2026)
by: Gupta, Varun, et al.
Published: (2026)
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
by: Byambadalai, Undral, et al.
Published: (2024)
by: Byambadalai, Undral, et al.
Published: (2024)
Similar Items
-
Tracking the Hidden Forces Behind Laos' 2022 Exchange Rate Crisis and Balance of Payments Instability
by: Cooray, Mariza, et al.
Published: (2025) -
Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights from Synthetic Data Validation
by: Li, Ziqi, et al.
Published: (2025) -
Navigating Inflation in Ghana: How Can Machine Learning Enhance Economic Stability and Growth Strategies
by: Baidoo, Theophilus G., et al.
Published: (2024) -
Macroeconomic Forecasting and Machine Learning
by: Chi, Ta-Chung, et al.
Published: (2025) -
Dual Interpretation of Machine Learning Forecasts
by: Coulombe, Philippe Goulet, et al.
Published: (2024)