On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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3 results for “DDML”

ddml: Double/debiased machine learning in Stataecon.EM

ddml aids causal inference in econometrics with machine learning.

problem Estimation of causal effects with endogenous variables and unknown functional forms.

method Double/Debiased Machine Learning (DDML) in Stata.

result Monte Carlo evidence supports using DDML with stacking for causal inference.

DDML Machine Learning Causal Inference Econometrics Endogeneity

2023-01-23abs ↗pdf ↗

Model Averaging and Double Machine Learningecon.EM

Paper combines machine learning and model averaging for robust parameter estimation.

problem Estimating structural parameters with partially unknown functional forms.

method Pairing double/debiased machine learning with stacking for model averaging.

result DDML with stacking is more robust to unknown functional forms than single learners.

model averaging double machine learning stacking robustness functional forms

2024-01-03abs ↗pdf ↗

Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Researchstat.ML

S-DIDML integrates structural DID with ML for causal inference in high-dimensional data.

problem Causal inference in high-dimensional observational panel data with confounding variables.

method Structural identification with high-dimensional estimation, Neyman orthogonality, cross-fitting, causal forests, semi-parametric models.

result Precision in identifying policy-sensitive groups and optimizing resource allocation.

Causal inference Observational panel data High-dimensional confounding Machine learning Structural DID

2025-07-21abs ↗pdf ↗