Data linkage -- A primer

Thursday, November 17, 2022
1:00 - 2:00 PM Eastern Time

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Speakers: 
Joseph Sakshaug, Professor of Statistics at the German Institute for Employment Research and Ludwig Maximilian University of Munich
Stefan Bender, Head of the Research Data and Service Centre at the Deutsche Bundesbank


About Joseph:

Joseph Sakshaug is Professor of Statistics at the German Institute for Employment Research and Ludwig Maximilian University of Munich. He studied Survey Methodology (MS and PhD) at the University of Michigan. His research interests include data integration, nonresponse, measurement error, and missing data issues.

About Stefan: Stefan Bender is Head of the Research Data and Service Centre at the Deutsche Bundesbank and Honorary Professor at the School of Social Sciences, University Mannheim. He studied Sociology and Statistics (MS) in Mannheim, Germany. His research interests include data access, data quality, record linkage and establishment/sustainable finance data.

Description:

This course will provide a basic introduction to record linkage, meaning it will address methods to combine data on given entities (people, households, firms etc.) that are stored in different data sources. The course will cover the various benefits of record linkage and the record linkage process, including preprocessing steps, techniques used in the matching step, and linkage evaluation. Participants will also learn about potential challenges that record linkage projects may face, including privacy issues (e.g. non-consent).

 

By the end of the session, participants will:

be familiar with the basic terminology of record linkage and the linkage process know how to improve the quality of linkage identifiers by applying pre-processing routines be familiar with different methods of increasing the efficiency of record linkage be able to understand, select and apply appropriate record linkage methods (e.g., deterministic and probabilistic linkage) be able to evaluate the success of data linkage

 

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