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This discussion paper describes a feasibility study within the probability-based LISS panel into respondents' willingness to donate energy insights and the usability of the donated data for official...

This paper deals with a particular kind of regression problem, where the data have been censored in a specific way.

This paper focuses on the analysis and classification of respondents’ stated reasons for (probable) refusal to share smartphone‐sensor data based on two closely related questionnaires fielded in...

This paper presents the purpose, design, and results of a large-scale field experiment investigating the effects of a smartphone-first redesign of the login process and questionnaire layout for CBS...

This paper provides estimated sampling margins for Statline outcomes on rental changes and an explanation of how they were calculated

In this paper a variance approximation is proposed for the generalized regression estimator that accounts for the additional uncertainty if the weighting scheme contains population tables observed...

Mixed-mode adaptive survey designs have become a standard in many survey settings. Also the combination of mixing modes and adapting effort has been elaborated and applied. However, the focus has...

Boonstra, H. J., M. Smeets (2026). A widely applicable sampling method for spreading the survey burden in business surveys. Discussion paper. Statistics Netherlands, The Hague/Heerlen.

Discussion paper about a method based on time-series multilevel modelling to estimate detailed mobility trends corrected for discontinuities due to survey redesigns

This report examines the impact of digitalisation on labour productivity in companies and across economic sectors in the period 2015-2022. It includes a detailed discussion of the role of...

This paper describes the methodological aspects of Microdata linking SBS data on data from the Enterprise Group Register (EGR). The goal is to determine a breakdown of some SBS variables based on the...

Eight years of developing a general population smart travel survey. Lessons learned from two large field tests

Improving the sampling strategy for the Community Innovation Survey using machine learning algorithms

Using the ESCO and CompetentNL skills frameworks, this study develops a digital indicator for occupations and examines how digital competencies are distributed across the workforce and economic...

With this mixed-mode feasibility pilot, we assessed whether data donation of energy usage via a smart-meter dongle is suitable for official statistics on device-level energy use.

The paper investigates theoretically how anonymous cell phone data may be used to produce dynamic population densities safely.

An evaluation of different of a machine-learning algorithms for transport mode classification in the CBS travel app.

Hierarchical Bayesian models, MCMC simulatie, small area estimation.

Rule-based transport mode classification in a smartphone-based travel survey

The population of Bonaire is expected to grow from 26.6 thousand today to 34.2 thousand by the year 2035. Last year’s forecast was for 30.5 thousand inhabitants on Bonaire in 2035.

Eliminary research into in the application of Large Language Models in Official Statistics.

An evaluation of various machne learning approaches towards the prediction of travel purposes of respondents

Energy, supply, transformation, consumption, final consumption Natural gas, electricity, petroleum, hard coal, renewable energy, heat

A comprehensive analysis of several quality aspects in smart surveys

In this publication, the natural gas consumption of households has been broken down by end use using smart meter data.