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Personal information

Bart F.M. Bakker (1957) is an endowed professor on the chair Methodology of Register Data for the Social Sciences. Besides that he is the head of the Methodology department of Statistics Netherlands in The Hague.


He obtained a degree in sociology at the University of Amsterdam with specializations in methodology and sociology of education (cum laude). He finished his PhD at the same university in the Faculty of social sciences.


His research comprises elements of methodology and statistics on the one hand and social stratification as substantive matter on the other hand. It focusses on methods to determine the quality of register data for use in the social sciences. The quality of register data can be indicated by representation and measurement error.

The most important representation error is under coverage. This can be determined by capture-recapture methods. He helps developing such methods and apply them e.g. to estimate the size of the population of usual residents which is at the same time the under coverage of the Population Register in the Netherlands.

Measurement error is a problem in register data, because of three reasons: administrative delay, linkage error and in particular false positive links, and because the administrative concept differs from the theoretical concept. Measurement error can be detected by linking a survey to the register data and apply Structural Equation Models (SEM) with a measurement component for continuous variables and Latent Class Analysis (LCA) for categorical variables. He does research into the possibilities to apply these methods in the production of official statistics. These methods are applied to data on the labour market and the economy.

He is a principal investigator of ODISSEI that aims at creating a platform to exchange register and survey data, bio banks etc. in a safe and cheap way.


He gives courses on the use of administrative data in the European Master of Official Statistics and two summer school courses at Utrecht University.

Ancillary activities

  • Centraal Bureau voor de Statistiek | Den Haag | Head of department Methodology | 2013-12-02

Ancillary activities are updated daily

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Research Output 2009 2018

Editing and Estimation of Measurement Errors in Administrative and Survey Data

Scholtus, S., 2018, 230 p.

Research output: PhD ThesisPhD Thesis - Research VU, graduation VUAcademic

Open Access

Reconciliation of inconsistent data sources by correction for measurement error: The feasibility of parameter re-use

Pankowska, P. K. P., Bakker, B. F. M., Oberski, D. L. & Pavlopoulos, D., 9 Aug 2018, In : Statistical Journal of the IAOS. 34, 3, p. 317-329 13 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Measurement errors
Measurement Error

An overview of population size estimation where linking registers results in incomplete covariates, with an application to mode of transport of serious road casualties

van der Heijden, P. G. M., Smith, P. A., Cruyff, M. & Bakker, B. F. M., 18 Jul 2017

Research output: Contribution to ConferencePaperOther research output

Assessing the quality of register-based population censuses: processes and outputs

Bakker, B. F. M., 19 Jul 2017

Research output: Contribution to ConferencePaperOther research output

Dual and multiple system estimation: fully observed and incomplete covariates

van der Heijden, P. G. M., Cruyff, M., Whittaker, J., Bakker, B. F. M. & Smith, P. A., 1 Aug 2017, Capture-Recapture Methods for the Social and Medical Sciences . Böhning, D., Bunge, J. & van der Heijden, P. (eds.). CRC Press, Boca Rata, p. 215-230

Research output: Chapter in Book / Report / Conference proceedingChapterAcademic