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11/03/2025 - 11/03/2025 | Berlin

Matching Estimators in the Age of Big Data: New Evidence on the Impacts of Workforce Training

The RFBerlin Applied Economics Seminar series brings leading researchers to Berlin to share their latest work. We are pleased to welcome Prof. Lawrence F. Katz (Harvard University). He is also Research Associate of the National Bureau of Economic Research. He focuses on issues in labor economics and the economics of social problems. He is the author (with Claudia Goldin) of The Race between Education and Technology, a history of U.S. economic inequality.

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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