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Simulation studies of Repeated weighting
Repeated weighting provides a method to obtain sets of table estimates with numerically consistent margins from combinations of registers and surveys. It is based on repeated application of the...
The inventory to sales ratio in manufacturing: a real leading business cycle indicator
Inventories are a useful statistic for tracking and analysing short-term economic developments. This paper by Floris van Ruth and Marcel van Velzen describes how the index of inventories of finished...
Using national registrations to correct for selective non-response. Political preference of ethnic groups
This paper deals with non-response bias, discussing a few approaches in this field. It is demonstrated that nonresponse bias as to voter turnout is lower in a survey on living conditions than in a...
Edit rules and the strategy of Consistent Table Estimation
The method of repeated weighting aims at obtaining numerical consistency among tables estimated from different surveys. However, in its common form, it does not take into account the existing edit...
A simple branching scheme for solving the error localisation problem
In this paper we present a new algorithm for solving the error localisation problem for a mix of continuous and categorical data. This algorithm is based on constructing a binary search tree.
Remote Access Systems for Statistical Analysis of Microdata
Discussion paper A remote access system is a facility where users can submit queries for statistical information from their own computer. These queries are handled by the statistical agency and the...
Computational Results For Various Error Localisation Algorithms
Over the last few years several algorithms for solving the so-called error localisation problem have been developed at Statistics Netherlands. For six data sets involving numerical data we present...
Multivariate State-Space Approach to Variance Reduction in Series with Level and Variance Breaks
This study illustrates how time-series model-based techniques can improve the production of official statistical figures for repeatedly conducted surveys. Apart from reducing the variance of...
An emperical evaluation of PRAM
PRAM (Post Randomization Method) is a disclosure control method for microdata, introduced in 1997. However, it has not yet been applied extensively by statistical agencies. This is partly due to the...
Analysing short term developments in key economic indicators: predicting the sign of period on period changes
This study applies a range of predictive techniques to forecasting the sign of the next month’s change in five key economic indicators: consumer confidence, household consumption, producer...
An emperical comparison of BRR and linearization variance estimators
A simulation study is performed to compare linearization and balanced repeated replication (BRR) variance estimates in various situations.
Imputation for economic data under linear restrictions
In this paper we propose a new approach to impute data under linear restrictions. If the data are normally distributed we will use simulations from the standard normal distribution. If the data are...
Modellen voor schattingen op diverse aggregatieniveaus
Discussion Paper about small area estimation for detailed unemployment figures.
Nonresponse Adjustment in Household Surveys
Nonresponse is a recurring problem in household surveys in many countries. Response rates of Statistics Netherlands surveys often vary between 50% and 60%. Research shows that nonresponse is usually...
Measuring R&D Output and Knowledge Capital Formation in Open Economies
Contrary to mineral exploration, computer software development and literary or artistic work, Research and Development is in the present SNA-1993 not considered as an activity leading to the creation...
Distribution based outlier detection in univariate data
Two univariate outlier detection methods are introduced. In both methods, the distribution of the bulk of observed data is approximated by regression of the observed values on their estimated QQ plot...
Handling incompleteness after linkage to a population frame: incoherence in unit types, variables and periods
This paper concentrates on methods for handling incompleteness caused by differences in units, variables and periods of the observed data set compared to the target one. Especially in economic...
Are Dutch Services Industries Becoming More Productive? Explorations on Micro-data
Statistics Netherlands is planning to set up a system of productivity statistics. An innovative approach is to directly build up productivity indices from data at the level of the individual firm. To...
The Measurement and Decomposition of Productivity Change: Exercises on the Netherlands' Manufacturing Industry
This paper is about the relation between productivity change at the micro level and the meso level. The paper considers the interplay between productivity change at the firm level and changes in the...
A design-based procedure for the analysis of experiments embedded in complex sample surveys
Experiments embedded in ongoing sample surveys are particularly appropriate to test effects of alternative surevey methodologies on estimates of finite population parameters.
Adjustment for Bias in the integrated survey on household living conditions (POLS) 1998
Estimates for population statistics can be seriously biased in case response rates are low and the response to a survey is selective. Methods like poststratification or propensity score weighting are...
Estimating consistent table sets: position paper on repeated weighting
Statistics Netherlands is presently making a considerable effort in combining data from administrative sources with, mainly household, survey data. By making efficient use of register data,...
Automatic edit and imputation for business surveys: The Dutch contribution to the Euredit project
Statistics Netherlands participated in the EUREDIT project, a large international research and development project on statistical data editing and imputation that lasted from March 2000 till February...
A general formulation of the secondary cell suppression problem
Statistical agencies have to ensure that respondents’ private information cannot be revealed from the tables they release. A well-known protection method is cell suppression, where values that...