Matching Estimators in the Age of Big Data: New Evidence on the Impacts of Workforce Training Programs
We re-examine the bias (effectiveness at replicating experimental estimates) of observational matching estimators for program effects using big administrative data. We find that both sample size and model complexity matter. Observational matching can work in big data because it permits estimation of high-dimensional non-parametric models that better capture selection. We apply our matching estimators in big data to assess the determinants of the effectiveness of U.S. workforce training programs.
Information on participating / attending:
Free of charge
Date:
11/03/2025 16:30 - 11/03/2025 17:45
Event venue:
ROCKWOOL Foundation Berlin
Gormannstrasse 22
10119 Berlin
Berlin
Germany
Target group:
Scientists and scholars
Email address:
Relevance:
international
Subject areas:
Economics / business administration
Types of events:
Seminar / workshop / discussion
Entry:
09/15/2025
Sender/author:
Harald Schultz
Department:
Kommunikation
Event is free:
yes
Language of the text:
English
URL of this event: http://idw-online.de/en/event80021
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