Search Results - subject:"Doubly Robust estimation"

Breastfeeding and Child Development Outcomes across Early Childhood and Adolescence: Doubly Robust Estimation with Machine Learning

Khudri, Md Mohsan; Hussey, Andrew - 2024

Using data from the Panel Study of Income Dynamics, we estimate the impact of breastfeeding initiation and duration on multiple cognitive, health, and behavioral outcomes spanning early childhood through adolescence. To mitigate the potential bias from misspecification, we employ a doubly robust...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015045424

Breastfeeding and child development outcomes across early childhood and adolescence : doubly robust estimation with machine learning

Khudri, Md Mohsan; Hussey, Andrew - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014557601

ddml: Double/Debiased Machine Learning in Stata

Ahrens, Achim; Hansen, Christian B.; Schaffer, Mark E; … - 2023

We introduce the package ddml for Double/Debiased Machine Learning (DDML) in Stata. Estimators of causal parameters for five different econometric models are supported, allowing for flexible estimation of causal effects of endogenous variables in settings with unknown functional forms and/or...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014296707

A doubly robust approach for impact evaluation of interventions for business process improvement based on event logs

Delias, Pavlos; Mittas, Nikolaos; Florou, Giannoula - In: Decision analytics journal 8 (2023), pp. 1-9

. We demonstrate the practical implementation of doubly robust estimation and present a comprehensive step-by-step workflow … the potential of doubly robust estimation as a reliable method for estimating the effects of business process … factors that can introduce bias and compromise the validity of conclusions drawn. This study proposes adopting doubly robust …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014517108