Papers in deze reeks gaan over methoden, processen en informatietechnologische- en conceptuele onderwerpen die relevant zijn voor het werkterrein van het CBS. Ze beschrijven het resultaat van (toegepast) wetenschappelijk onderzoek dat CBS-ers, al dan niet samen met externen, hebben uitgevoerd. De reeks is niet bedoeld om CBS-cijfers te publiceren en de cijfers in de papers zijn dus niet als officiële CBS-uitkomsten aan te merken. De papers verschijnen onregelmatig. U kunt een gratis e-mail-abonnement op de reeks nemen.
This paper gives an overview of statistical data editing. The paper first describes the traditional interactive approach to data editing. It then focuses on modern editing techniques, such as selective editing, automatic editing, and macro-editing. The paper aims to provide an introduction to these topics, and gives many references to the literature.
This papers analyses which determinants are relevant for catching up to the global and national technological frontier. We focus on innovation, human capital, technology transfers and competition as sources of productivity growth. Our approach integrates the literature on the two faces of R&D, convergence and firm-level heterogeneity in productivity.
This paper explores the broader range of intangible investment in the Netherlands. Both conceptual and measurement issues are discussed. Furthermore, intangibles are capitalized and their contribution to economic growth by industry is examined.
Due to methodological problems, the quality of the outcomes of web surveys may be seriously affected. This paper addresses one of these problems: self-selection of respondents. Self-selection leads to a lack of representativity and thus to biased estimates. It is shown that the bias of estimators in self-selection surveys can be much larger than in surveys based on traditional probability samples. It is explored whether some correction techniques (adjustment weighting and use of reference surveys) can improve the quality of the outcomes. It turns out that there is no guarantee for success.
This paper describes methods for automatically detecting and correcting two systematic errors that are found in data collected for structural business statistics. It also discusses a simple heuristic method for resolving rounding errors when the data have to satisfy many balance edit rules.
In 2006 the selection of respondents for the Time Use Survey (‘Tijdbestedingsonderzoek’ or ‘TBO’) consisted of three stages. In this paper we employ R-indicators to investigate the representativity of the TBO response. R-indicators are proposed by Schouten and Cobben (2007) as measures to evaluate the similarity between the response and population of interest. This research was sponsored by the Netherlands Institute for Social Research (SCP). The 2005 and 2006 datasets were provided by DANS.
The system of environmental and economic accounting (SEEA) provides a range if important accounting aggregates which can logically be defined within the SEEA’s accounting identities. One key recommendation made in this paper is that these main aggregates should be explicitly pointed out as potential indicators in Part I of the revised SEEA. In this paper an overview is given of key aggregates from the physical flow accounts of which it is recommended that they should be explicitly exposed in the SEEA text of Part I.
This paper presents methods and results with regard to the estimation of service lives and discard patterns, based on directly observed capital stock data and on discard surveys in the manufacturing industry. The presented results are input for the calculation of consumption of fixed capital and net capital stock for the national accounts.
The system of national accounts shows a consistent quantitative overview of the economic process of a country. Consistency however is not a gurantee for good quality. In this paper an overview is given of possible adjustments and extensions of the system. The paper refers to the national accounts practice in the Netherlands.
Econometric techniques can be a powerful aid for the production of statistics. A prime example is the use of so-called benchmarking or interpolation techniques for producing more detailed or frequent statistics when complete data are lacking. Here, a version is tested which aims to produce a monthly indicator of fixed capital formation from the quarterly national accounts series. In this version, three latent monthly indicators are defined for each quarter, and derived from available related monthly indicators. A credible monthly series can be constructed, but unfortunately real time performance is shown to be unsatisfactory.
In this study, a different temporal disaggregation approach is tested for producing a monthly series from a quarterly statistic when monthly observations are lacking. Monthly realisations are obtained by interpolating the quarterly series using related monthly indicators and an autoregressive component. For optimal results, the whole is cast in the state space form. Good monthly indicators can thus be easily obtained, and real time analyses shows that the methods work in practice as well.
In a previous paper (discussion paper 07002, Schouten and Cobben) we introduced so-called R-indicators. These indicators attempt to measure the representativeness of the response to a survey. In the present paper we apply these indicators to several examples at CBS. These examples include surveys with different interview modes, data collection strategies and amounts of pre-paid incentives. We compare the values of the R-indicators to the outcomes of thorough analyses performed on these data sets.
In this paper we study the selectivity in the recruitment of respondents for one of CentERdata’s Internet panels (the CentERpanel). This recruitment is based on a probability sample. It involves three stages: participation to a first telephone interview, willing to be re-contacted and final agreement to participate in the Internet panel. We distinguish selectivity with regard to age and income in all stages and with pc-ownership in the latter two stages only.
Design-based and model-assisted estimation procedures are widely applied by most of the European national statistical institutes. There are, however, situations were model-based approaches can have additional value in the production of official statistics, e.g. to deal with small sample sizes, measurement errors and discontinuities due to survey redesigns. In this paper several cases are identified where design-based estimators do not result in sufficiently reliable estimates and model-based procedures are more appropriate for producing official releases.
For several of Statistics Netherlands' establishment surveys, respondents havethe choice to respond on paper or electronically. This paper investigates theconsequences for editing processes when two different data streams have to behandled. Special attention is payed to the question of how to quantitativelycompare the quality of the data streams.
In this paper a multivariate structural time series model is described that accounts for the panel design of the Dutch Labour Force Survey and is applied to estimate monthly unemployment rates.
Globalization affects all aspects of economic and social life. In order to study the effects of an open economy on employment and welfare, combined microdata from business surveys, social surveys and administrative registers are required to make causal inferences.
This paper comprises a first attempt to provide a comprehensive measure on spending on intangible capital in the Netherlands. We replicate the approach pioneered by Corrado, Hulten and Sichel (2004, 2005 and 2006) for the U.S