Search Results - subject:"doubly-robust estimation"

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://www.econbiz.de/10014296707

ddml : Double/Debiased Machine Learning in Stata

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

Persistent link: https://www.econbiz.de/10014227783

Heterogeneous effects of a teacher strike on education and labor market outcomes

Langen, Henrika; Laine, Liisa T. - 2025

We study the impact of a teacher strike on students still in compulsory school and about to choose their secondary education track. Using administrative data and a difference-in-differences approach, we estimate the effect of a regional strike in Finland on educational attainment and long-term...

Persistent link: https://www.econbiz.de/10015407901

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://www.econbiz.de/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://www.econbiz.de/10014557601

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://www.econbiz.de/10014517108

Do early-ending conditional cash transfer programs crowd out school enrollment?

Wiegand, Martin - 2019

conjunction with doubly-robust estimation. I find that exposure to Progresa during middle school reduced the probability to …

Persistent link: https://www.econbiz.de/10012114806

On the economics of forced labour. Did the employment of Prisoners-of-War depress German coal mining productivity in World War I?

Jopp, Tobias A. - 2018

The scholarly discourse about twentieth century forced labour has raised important questions. For example, how profitable and productive has the employment of forced labour been in different political and economic contexts? The dominant take-away from the literature is that forced labour comes...

Persistent link: https://www.econbiz.de/10012669481

Market strength and brokerage choice in residential housing

Deng, Xiangou; Li, Zhaohui; Seiler, Michael J.; Sun, Hua - In: The journal of real estate finance and economics 69 (2024) 4, pp. 741-777

Persistent link: https://www.econbiz.de/10015080908

Double machine learning for sample selection models

Bia, Michela; Huber, Martin; Lafférs, Lukás - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 3, pp. 958-969

Persistent link: https://www.econbiz.de/10015053512