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Jan van den Brakel (J.A.)

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:

  • 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
Recent publications
Go to all publications
Other publications

Schouten, B., J.A. van den Brakel, D. Giessen, A. Luiten and V. Meertens (2023). Mixed mode official surveys. Current status and near future. The Survey Statistician, Vol. 87, pp. 12-26.

 

Zult, D., J.A. van den Brakel, S. Krieg, and P. Ouwehand (2023). From quarterly to monthly turnover figures using nowcasting. Journal of Official Statistics, Vol 39, pp 253-273.

 

Van den Brakel, J.A. and M. Smeets. (2023). Official Statistics based on the Dutch Health Survey during the Covid-19 Pandemic. Survey Methodology, Vol 49, pp. 39-68.

 

Peerlings, D., J.A. van den Brakel, N. Basturk and M. Puts. (2022). Multivariate Density Estimation using Neural Networks. IEEE Transactions on Neural Networks and Learning Systems.

 

Gonçalves, C., L. Hidalgo, D. Silva and J.A. van den Brakel (2022). Model-based single-month unemployment rate estimates for the Brazilian Labour Force Survey. Journal of the Royal Statistical Society, Vol. 185, pp 1707-1732.

 

Van den Brakel, J.A., M. Souren and S. Krieg (2022). Estimating monthly Labour Force Figures during the COVID-19 pandemic in the Netherlands. Journal of the Royal Statistical Society, Series A. Vol 185, pp 1560-1583.

 

Das, S., J.A. van den Brakel, H.J. Boonstra, S. Haslett (2022). Multilevel time series modeling of antenatal care coverage in Bangladesh at disaggregated administrative levels. Survey Methodology. Vol. 48, pp 401-437.

 

H.J. Boonstra and J.A. van den Brakel. (2022), Multilevel time series models for small area estimation at different frequencies and domain levels. Annals of Applied Statistics. Vol. 16, No. 4, pp 2314-2338

 

Van den Brakel, J.A., and J. Michiels (2021). Nowcasting register labour force participation rates in municipal districts using survey data. Accepted for publication in the Journal of Official Statistics, Vol. 37, No. 4, pp 1009-1045.

 

Van den Brakel, J.A., and H.J. Boonstra (2021). Hierarchical Bayesian bivariate Fay-Herriot model for estimating domain discontinuities. Survey Methodology, vol. 47, pp. 151-189.

 

H.J. Boonstra, J.A. van den Brakel and S. Das (2021). Multilevel time series modeling of mobility trends. Journal of the Royal Statistical Society A series. Vol 184, pp. 985-1007.

 

Broe, S. de, P. Struis, P. Daas, A. van Delden, J. Burger, J.A. van den Brakel, O. ten Bosch, K. Zeelenberg, and W. Ypma. (2021), Updating the Paradigm of Official Statistics. Statistical Journal of the IAOS. 37, pp. 343–360.

 

Schiavoni, C., F. Palm, S. Smeekes and J.A. van den Brakel (2021). A dynamic factor model approach to incorporate Big Data in state space models for official statistics. Journal of the Royal Statistical Society, A series, vol. 184, pp. 324-353.

 

Bijlsma, I., J.A. van den Brakel,  R. van der Velden en J. Allen (2020). Estimating literacy levels at a detailed regional level; An application using Dutch data. Journal of Official Statistics, vol. 36, p 251-274.

 

Van den Brakel, J.A., X. Zhang and S.M. Tam (2020). Measuring discontinuities in time series obtained with repeated sample surveys. International Statistical Review. Vol. 88, pp.155-175.

 

Zhang, Xichuan, J.A. van den Brakel, and Siu-Ming Tam (2019). Using state space models as a statistical impact measurement of survey redesigns: a case study of the labour force survey of the Australian Bureau of Statistics. Journal of Statistical  Theory and Related Fields. Vol. 3, pp. 224-238. DOI: 10.1080/24754269.2019.1677085.

 

Boonstra, H.J. and J.A. van den Brakel (2019). Estimation of level and change for unemployment using structural time series models. Survey Methodology. Vol. 45, pp. 395-425.

 

Bikker, R., J.A. van den Brakel, S. Krieg, P. Ouwehand and R. van der Stegen (2019). Consistent Multivariate Seasonal Adjustment for Gross Domestic Product and its Breakdown in Expenditures. Journal of Official Statistics. Vol. 35, pp 9-30.

 

Brakel, J.A. van den (2018). Discussion of the paper Statistical challenges of administrative and transaction data by D.J. Hand. Journal of the Royal Statistical Society, A series. Vol. 181, pp. 1-51.

 

Buelens B., J. Burger, J.A. van den Brakel (2018). Comparing inference methods for non-probability samples. International Statistical Review. Vol 86, pp. 322-343.

 

Bollineni-Balabay, O., J.A. van den Brakel, F. Palm and H.J. Boonstra, (2017). Multilevel hierarchical Bayesian vs. state-space approach in time series small area estimation; the Dutch Travel Survey. Journal of the Royal Statistical Society A series, Vol. 180, pp. 1281-1308.

 

Klausch, T., B. Schouten, B. Buelens and J.A. van den Brakel (2017). Adjusting Measurement Bias in Sequential Mixed-Mode Surveys using re-interview data. Journal of Survey Statistics and Methodology. Vol. 5, pp. 409-432.

 

Brakel, J.A. van den, E. Söhler, P. Daas and B. Buelens (2017). Social media as a data source for official statistics; the Dutch Consumer Confidence Index. Survey Methodology, vol 43 pp. 183-210.

 

Buelens, B. and J.A. van den Brakel (2017). Comparing two inferential approaches to handling measurement errors in mixed-mode surveys. Journal of Official Statistics. Vol. 43, pp. 513-531.

 

Bollineni-Balabay, O., J.A. van den Brakel, and Franz Palm (2017). State space time series modelling of the Dutch Labour Force Survey: Model selection and mean squared error estimation. Survey Methodology. Vol. 43, page 41-67.

 

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, Vol. 42, pp. 137-159.

 

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, Vol. 179,  pp. 763-791.

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.