Research profile
I have a general interest is in survey methodology. Among other topics I work at:
- Sampling, weighting, variance estimation
- Design and analysis of experiments embedded in probability samples
- Inference with data obtained with mixed mode data collection
- Small area estimation
- Time series modelling of series observed through repeated surveys
- Inference for official statisitcs with data obtained without probability sampling
Research projects
Current projects:
- Book chapter about design-based inference for experiments in randomized samples
- Mixed frequency time series modelling of short term statistics
- Accuracy of non-probability web panels
- Adjusting for measurement error in mixed-mode data
- Comparison of Hierarchical Bayesian multilevel time series models and structurla time series models as a form of small area estimation
- Modeling discontinuities in the Dutch National Travel Survey
- Combining time series from repeated surveys and social media
- Organising the Small Area Estimation conference 2016, 17-19 August, Maastricht, the Netherlands
Publications
Most recent publications:
-
van den Brakel, J., & Michiels, J. (2021). Nowcasting register labour force participation rates in municipal districts using survey data. Journal of Official Statistics, 37(4), 1009-1045. https://doi.org/10.2478/JOS-2021-0043
-
Boonstra, H. J., van den Brakel, J., & Das, S. (2021). Multilevel time series modelling of mobility trends in the Netherlands for small domains. Journal of the Royal Statistical Society Series A-Statistics in Society, 184(3), 985-1007. https://doi.org/10.1111/rssa.12700
-
van den Brakel, J. A., & Boonstra, H. J. (2021). Estimation of domain discontinuities using Hierarchical Bayesian Fay-Herriot models. Survey Methodology, 47(1), 151-189. https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X202100100008
-
Schiavoni, C., Koopman, S. J., Palm, F. C., Smeekes, S., & van den Brakel, J. (2021). Time-varying state correlations in state space models and their estimation via indirect inference. Tinbergen Institute. Tinbergen Institute Discussion Paper Vol. 2021 No. 020/III https://doi.org/10.2139/ssrn.3792448
-
Schiavoni, C., Palm, F., Smeekes, S., & van den Brakel, J. (2021). A dynamic factor model approach to incorporate Big Data in state space models for official statistics. Journal of the Royal Statistical Society Series A-Statistics in Society, 184(1), 324-353. https://doi.org/10.1111/rssa.12626
-
van den Brakel, J. A., Smith, P. A., Elliot, D., Krieg, S., Schmid, T., & Tzavidis, N. (2021). Assessing discontinuities and rotation group bias in rotating panel designs. In P. Lynn (Ed.), Advances in Longitudinal Survey Methodology (pp. 399-423). Wiley & Sons. Wiley Series in Probability and Statistics https://doi.org/10.1002/9781119376965.ch16
-
van den Brakel, J., & Boonstra, H. J. (2021). Hierarchical Bayesaian bivariate Fay-Herriot model for estimating domain dicontinuities. Survey Methodology, 47(1), 151-189. http://www.statcan.gc.ca/pub/12-001-x/2021001/article/00008-eng.htm
-
Schouten, B., van den Brakel, J., Buelens, B., Giesen, D., Luiten, A., & Meertens, V. (2021). Mixed-Mode Official Surveys: Design and Analysis. Chapman and Hall/CRC. https://doi.org/10.1201/9780429461156
-
De Broe, S., Struis, P., Daas, P., van Delden, A., Burger, J., van den Brakel, J., ten Bosch, O., Zeelenberg, K., & Ypma, W. (2021). Updating the paradigm of official statistics. Statistical Journal of the IAOS, 37(1), 343-360. https://doi.org/10.3233/sji-200711
-
Bijlsma, I., van den Brakel, J., van der Velden, R., & Allen, J. (2020). Estimating literacy levels at a detailed regional level: an application using Dutch data. Journal of Official Statistics, 36(2), 251-274. https://doi.org/10.2478/jos-2020-0014
Other publications:
Brakel, J.A. van den, Buelens, B. and Boonstra, H.J. (2016). Small area estimation to quantify discontinuities in sample surveys. Journal of the Royal Statistical Society A, 179, pp. 229-250.
Brakel, J.A. van den (2015). Registered-based sampling for household panels. Accepted for publication in Survey Methodology.
Van den Brakel and Krieg (2016). Small area estimation with state space common factor models for rotating panels. Journal of the Royal Statistical Society, A series. Published online.
Bollineni-Balabay, O. Brakel, J.A. van den and Palm, F. (2016). Multivariate state-space approach to variance reduction in series with level and variance breaks due to sampling redesigns. Journal of the Royal Statistical Society, A series, 176, 377-402
Brakel, J.A. van den en B. Buelens (2015). Covariate selection for small area estimation in repeated sample surveys. Joint special issue of Survey Methodology and Statistics in Transition, on Small Area Estimation, 16, pp. 523-540.
Brakel, J.A. van den, S. Krieg, (2015). Dealing with small sample sizes, rotation group bias and discontinuities in a rotating panel design. Survey Methodology, 41, pp. 267-296.
Buelens, B. and J. A. van den Brakel (2015). Measurement error calibration in mixed-mode surveys. Sociological Methods & Research, 44 (3), pp. 391-426.
Brakel, J.A. van den (2013). Design based analysis of factorial designs embedded in probability samples. Survey Methodology, vol. 39, pp. 323-349. Selected in 2014 by the editorial board of Survey Methodology as best journal paper.
Schouten, B., J.A. van den Brakel, B. Buelens and T. Klausch (2013). Disentangling mode-specific selection bias and measurement bias in social surveys. Social Science Research, 42 (6), pp. 1555-1570.
Brakel, J.A. van den, (2012). Models in official statistics. Inaugural lecture 27-04-2012, Maastricht University, isbn: 978-90-5681-388-8.
Krieg, S. and J.A. van den Brakel (2012). Estimation of the monthly unemployment rate for six domains through structural time series modelling with cointegrated trends, Computational statistics and Data Analysis, 56, 2918-2933
Buelens, B. and J.A. van den Brakel (2010). On the necessity to include personal interviewing in mixed-mode surveys. Survey Practise, Vol. 4, Nr. 5, October 2010 issue,
Brakel, J.A. van den, (2010), Sampling and estimation techniques for the implementation of new classification systems. Survey Research Methods, vol. 4, pp. 103-119.
Brakel, J.A. van den and J. Roels, (2010). Intervention analysis with state-space models to estimate discontinuities due to a survey redesign. Annals of Applied Statistics, vol. 4, pp. 1105-1138.
Brakel, J.A. van den and S. Krieg, (2009). Estimation of the monthly unemployment rate through structural time series modelling in a rotating panel design. Survey Methodology, vol. 35, pp. 177-190.
Brakel, J.A. van den, (2008). Design-based analysis of embedded experiments with applications in the Dutch Labour Force Survey. Journal of the Royal Statistical Society, Series A, vol. 171, pp. 581-613.
Brakel, J.A. van den, P.A. Smith and S. Compton, (2008). Quality procedures for survey transitions – experiments, time series and discontinuities. Survey Research Methods, vol. 2, no. 3, pp. 123-141.
Boonstra, H.J., J.A. van den Brakel, B. Buelens, S. Krieg and M. Smeets, (2008). Towards small area estimation at Statistics Netherlands. METRON International Journal of Statistics, vol. LXVI, pp. 21-49.
Wetzels, W., H. Schmeets, J.A. van den Brakel and R. Feskens, (2008). Impact of prepaid incentives in face-to-face surveys; a large scale-field experiment with postage stamps. International Journal of Public Opinion Research, vol. 20, pp. 507-516.
Brakel, J.A. van den, R. Vis-Visschers and H. Schmeets, (2006). An experiment with data collection modes and incentives in the Dutch family and fertility survey for young Moroccans and Turks, Field Methods, vol. 18, nr. 3, pp. 321-334.
Chambers, R., J.A. van den Brakel, D. Hedlin, R. Lehtonen and L.C. Zhang, (2006). Future challenges of small area estimation, Statistics in Transition, vol.7, nr. 4, pp. 759-769.
Brakel, J.A. van den and R.H. Renssen, (2005). Analysis of experiments embedded in complex sampling designs, Survey Methodology, vol. 31, nr. 1, pp. 23-40.
Brakel, J.A. van den, (2002). Effects of interviewers’ workload on the Dutch Labour Force Survey, Research in Official Statistics, vol. 5, nr. 1, pp. 87-106.
Brakel, J.A. van den and C.A.M. van Berkel, (2002). A design-based analysis procedure for two-treatment experiments embedded in sample surveys, Journal of Official Statistics, vol. 18, no. 2, pp. 217-231.
Brakel, J.A. van den and R.H. Renssen, (2000). A field experiment to test effects of an incentive and a condensed questionnaire on response rates in the Netherlands Fertility and Family Survey, Research in Official Statistics, vol. 3, nr. 1, pp. 55-63.
Brakel, J.A. van den and R.H. Renssen, (1999). Testing effects of incentives and a condensed questionnaire on response rates, Netherlands Official Statistics, vol. 14, summer 1999, blz. 9-12.
Brakel, J.A. van den and R.H. Renssen, (1998). Design and analysis of experiments embedded in sample surveys, Journal of Official Statistics, vol. 14, nr. 3, pp. 277-295.
Brakel, J.A. van den, M. Luppes and G. Moritz, (1996). Testing effects of informed consent in the National Travel Survey, Netherlands Official Statistics, vol. 10, winter 1995, pp. 37-43.
Brakel, J.A. van den, (1996). An overview of statistical methods for the analysis of compositional data, Kwantitatieve Methoden, nr. 51, pp. 37-53.
Brakel, J.A. van den and H. Visser, (1996). The influence of environmental conditions on tree-ring series of Norway Spruce for different canopy and vitality classes, Forest Science, vol. 42, nr. 2, pp. 206-219.
J.A. van den Brakel
Jan van den Brakel is extraordinary professor of Survey Methodology and works as senior statistician at the methodology department of Statistics Netherlands.
Facebook
Twitter
LinkedIn
Forward
Reddit