Jan van den Brakel

About Jan van den Brakel

Jan van den Brakel, With an exceptional h-index of 21 and a recent h-index of 14 (since 2020), a distinguished researcher at Universiteit Maastricht, specializes in the field of sampling theory, small area estimation, inference in mixed mode surveys, design and analysis of experiments, time series analysi.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Methodology of the Dutch Consumer Confidence Survey During the Corona Crisis

Official Statistics based on the Dutch Health Survey during the Covid-19 Pandemic

From Quarterly to Monthly Turnover Figures Using Nowcasting Methods

Unit-level time-series multilevel models for small area estimation of sickness absence indicators

New data sources and inference methods for official statistics

Single-month unemployment rate estimates for the Brazilian Labour Force Survey using state-space models

Topic B5674-2020-GEOS Call ESTAT-2020-PA8-SE-GEOS Project 101033951 (2020-NL-GEOS-DEEP-GEO-STAT)

Estimating monthly labour force figures during the COVID-19 pandemic in the Netherlands

Jan van den Brakel Information

University

Position

Extraordinary professor in survey methodology

Citations(all)

1366

Citations(since 2020)

761

Cited By

832

hIndex(all)

21

hIndex(since 2020)

14

i10Index(all)

35

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Jan van den Brakel Skills & Research Interests

sampling theory

small area estimation

inference in mixed mode surveys

design and analysis of experiments

time series analysi

Top articles of Jan van den Brakel

Title

Journal

Author(s)

Publication Date

The Methodology of the Dutch Consumer Confidence Survey During the Corona Crisis

Jan A van den Brakel

Sabine Krieg

Marc Smeets

2023/12

Official Statistics based on the Dutch Health Survey during the Covid-19 Pandemic

Survey Methodology

Jan van den Brakel

Marc Smeets

2023/6/1

From Quarterly to Monthly Turnover Figures Using Nowcasting Methods

Journal of Official Statistics

Daan Zult

Sabine Krieg

Bernd Schouten

Pim Ouwehand

Jan van den Brakel

2023/6/1

Unit-level time-series multilevel models for small area estimation of sickness absence indicators

Benchmarking

Harm Jan Boonstra

Jan van den Brakel

2023/12/14

New data sources and inference methods for official statistics

Jan van den Brakel

2022/4/23

Single-month unemployment rate estimates for the Brazilian Labour Force Survey using state-space models

Journal of the Royal Statistical Society Series A: Statistics in Society

Caio Gonçalves

Luna Hidalgo

Denise Silva

Jan den Brakel

2022/10

Topic B5674-2020-GEOS Call ESTAT-2020-PA8-SE-GEOS Project 101033951 (2020-NL-GEOS-DEEP-GEO-STAT)

Joep Burger

Nick de Wolf

Jan van den Brakel

2022/3/10

Estimating monthly labour force figures during the COVID-19 pandemic in the Netherlands

Journal of the Royal Statistical Society Series A: Statistics in Society

Jan Brakel

Martijn Souren

Sabine Krieg

2022/10

Monthly labour force figures during the 2021 redesign of the Dutch labour force Survey

Jan A van den Brakel

2022

Multivariate density estimation by neural networks

IEEE Transactions on Neural Networks and Learning Systems

Dewi EW Peerlings

Jan A van den Brakel

Nalan Baştürk

Marco JH Puts

2022/7/18

Multilevel time-series models for small area estimation at different frequencies and domain levels

The Annals of Applied Statistics

Harm Jan Boonstra

Jan Van Den Brakel

2022/12

Assessing discontinuities and rotation group bias in rotating panel designs

Advances in Longitudinal Survey Methodology

Jan A van den Brakel

Paul A Smith

Duncan Elliott

Sabine Krieg

Timo Schmid

...

2021/3/22

Effects of adjustments in face-to-face data collection due to the COVID-19 pandemic on survey results

Daniëlle Groffen

G Goris

K van Berkel

J van den Brakel

2021/9/14

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)

Caterina Schiavoni

Franz Palm

Stephan Smeekes

Jan van den Brakel

2021/1

Time-varying state correlations in state space models and their estimation via indirect inference

Caterina Schiavoni

Siem Jan Koopman

Franz C Palm

Stephan Smeekes

Jan van den Brakel

2021/2/22

Nowcasting Register Labour Force Participation Rates in Municipal Districts Using Survey Data

Journal of Official Statistics

Jan van den Brakel

John Michiels

2021/12/1

Hierarchical Bayesian bivariate Fay-Herriot model for estimating domain discontinuities

Survey Methodology

JA Van den Brakel

Harm Jan Boonstra

2021

Modeling Mobility Trends: Update Based on New ODiN Data and Level Breaks

Harm Jan Boonstra

Jan A van den Brakel

Sumonkanti Das

2021/2/11

Multilevel time series modelling of mobility trends in the Netherlands for small domains

Journal of the Royal Statistical Society: Series A (Statistics in Society)

Harm Jan Boonstra

Jan van den Brakel

Sumonkanti Das

2021/7

Mixed-mode official surveys: Design and analysis

Barry Schouten

Jan van den Brakel

Bart Buelens

Deirdre Giesen

Annemieke Luiten

...

2021/9/27

See List of Professors in Jan van den Brakel University(Universiteit Maastricht)