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Pilot Study: Mobile Phone Meta Data Records – Introduction to the research method
Mobile Phone Meta-Data, mobile phone data, method, processing method, privacy, statistical disclosure control
Small Area Estimation of sickness absence
Small area estimation of sickness absence
Using complexity science to understand social problems
On 1 January 2021, Statistics Netherlands (CBS) senior methodologist Frank Pijpers was appointed Professor of Complexity for Official Statistics at the University of Amsterdam (UvA).
HSMR 2019 Methodological report
Methods used for the calculation of the Hospital Standardised Mortality Ratios 2017-2019
Methodology Research Vision 2020- 2025
CBS Methodology Research Vision 2020- 2025
Transition plan redesign of the Dutch Labour Force Survey
Estimating discontinuities with a parallel run and a time series modelling approach
Development of a survival model for unexpectedly long hospital stays
Survival model for the indicator for unexpectedly long hospital stays.
Geographic location estimation of mobile devices
A working paper in which a modular Bayesian framework is proposed to estimate the geographic location of mobile devices from mobile phone network data.
Nowcasting GDP growth rate: a potential substitute for the current flash estimate
Currently Statistics Netherlands provides a first estimate of the GDP growth rate 45 days after the end of the reference quarter.
Fair algorithms in context
Decisions in our society are increasingly supported by Artificial Intelligence (AI). In this work we refer to AI as computers doing ‘intelligent’ tasks. This can for example be determining good moves...
Monthly turnover figures using nowcasting
Nowcasting with mixed-frequency time series methods
Methodological audits at NSIs
Methodological audits at NSIs – survey of international practice
How data determine who are the people of Europe
How data determine who are the people of Europe
Understanding 100 years of farmland biodiversity loss
Understanding 100 years of farmland biodiversity loss
The accuracy of estimators based on a binary classifier
Publications in official statistics often involve estimates by domain. It is important to account for the effect of misclassifications between domains on the accuracy of these statistics.
Correcting for linkage errors in contingency tables
Correcting for linkage errors in contingency tables – a cautionary tale
Big data in official statistics
The use of Big data in official statistics requires methodological innovations.
Stops and track detection in travel surveys
Travel surveys with apps focus on reduction of respondent burden.
Is undesirable answer behaviour consistent?
This paper investigates whether answer behavior that points at increased risk of measurement error is consistent across surveys, i.e. whether it is a trait of respondents.
Automatic travel mode prediction
App-assisted travel surveys use location and motion sensors to measure location and to predict means of transportation. This discussion paper describes the machine learning techniques to translate...
Employment estimates using survey and register data
This report describes macro-integration methods applied to the reconciliation process of labor force statistics from two sources.
The accuracy of growth rates with classification errors
Evaluating the accuracy of growth rates in the presence of classification errors.
Consistent estimates for categorical data based on a mix of administrative data sources and surveys
Dissertation on multiple imputation of latent classes to simultaneously estimate and correct for misclassification and missing data in combined datasets.
Complexity and simplification of networks
Quantification of the complexity of networks and methods to simplify networks by focusing on their essence.
New data sources and inference methods for statistics
Methodological issues with non-probability data for official statistics.