ddml: Double/debiased machine learning in Stata
A Ahrens, CB Hansen, ME Schaffer… - The Stata …, 2024 - journals.sagepub.com
In this article, we introduce a package, ddml, for double/debiased machine learning in Stata.
Estimators of causal parameters for five different econometric models are supported …
Estimators of causal parameters for five different econometric models are supported …
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
P Bach, O Schacht, V Chernozhukov… - Causal Learning …, 2024 - proceedings.mlr.press
Proper hyperparameter tuning is essential for achieving optimal performance of modern
machine learning (ML) methods in predictive tasks. While there is an extensive literature on …
machine learning (ML) methods in predictive tasks. While there is an extensive literature on …
Applied statistical learning
M Schonlau - Statistics and computing. Springer: Cham, 2023 - Springer
I worked for 11 years at the RAND corporation, a public-policy think tank, in the USA before
returning to academia in Canada. During this time, I worked mostly in teams with social …
returning to academia in Canada. During this time, I worked mostly in teams with social …
Model averaging and double machine learning
A Ahrens, CB Hansen, ME Schaffer… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper discusses pairing double/debiased machine learning (DDML) with stacking, a
model averaging method for combining multiple candidate learners, to estimate structural …
model averaging method for combining multiple candidate learners, to estimate structural …
Stacking
M Schonlau - Applied Statistical Learning: With Case Studies in Stata, 2023 - Springer
Stacking | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a
journal Publish with us Track your research Search Cart Book cover Applied Statistical Learning …
journal Publish with us Track your research Search Cart Book cover Applied Statistical Learning …
A Novel Dual FedAux-based Harvested Energy Prediction for Road Safety Systems
PSM Traoré, W Jaafar, F Baldé - 2024 IEEE World Forum on …, 2024 - ieeexplore.ieee.org
In the evolving landscape of road safety, the role of solar-powered Internet-of-Things (IoT)
devices, crucial for supporting connected and autonomous vehicles (CAVs) with enhanced …
devices, crucial for supporting connected and autonomous vehicles (CAVs) with enhanced …
Information, Beliefs, and Household Health Behaviors: Evidence From China and the United States
Y Chen - 2024 - search.proquest.com
Extensive research has shown a clear gradient between wealth and health, with
impoverished families tending to experience worse health outcomes. These disparities are …
impoverished families tending to experience worse health outcomes. These disparities are …
Methane Emission Prediction in the Petrochemical Industry: A Machine Learning Approach with Focus on Oilfield Methane Forecasting
Z Zhao - Proceedings of the 2024 10th International Conference …, 2024 - dl.acm.org
Against the background of the Chinese government's emphasis on energy conservation and
emission reduction, this study explores the methane emission problem in the petrochemical …
emission reduction, this study explores the methane emission problem in the petrochemical …
Model Averaging and Double Machine Learning
C Hansen, M Schaffer, TT Wiemann - papers.ssrn.com
This paper discusses pairing double/debiased machine learning (DDML) with stacking, a
model averaging method for combining multiple candidate learners, to estimate structural …
model averaging method for combining multiple candidate learners, to estimate structural …
Gender Differences in Reservation Wages: New Evidence for Germany
M Töpfer, S Satlukal - Available at SSRN 4627287 - papers.ssrn.com
Generally, women set lower reservation wages than men what may translate into substantial
gender pay gaps in the labor market. Using, for the first time, a rich data set for Germany of …
gender pay gaps in the labor market. Using, for the first time, a rich data set for Germany of …