1,722,796 research outputs found
Bridging the Gap Between Theory and Practice : Experiences from Statistics Sweden in Applying SDC Methodology
No full textStatistics Sweden has identified a need to increase the level of knowl-edge in the SDC field among methodologists and also to develop a unified view and strategy on application of SDC methodology. A project was thus initiated with the goal to spread knowledge but also to collate current practices and ex-periences within the agency. The project resulted in a course on SDC given at Statistics Sweden and this paper provides a brief first report on the work so far, reviewing the background and describing the course and possible future activities. Furthermore, several practical examples were discussed during the course, two of which are briefly described here; the Industrial production index and Structure of wages and earnings in the private sector
Towards a methodology for statistical disclosure control
No full textA seminal article in statistical disclosure limitation that is widely cited but nearly impossible to read due to a decision by Statistics Sweden to rename the journal as Journal of Official Statistics, and to begin curation in 1985. (See: https://www.scb.se/dokumentation/statistiska-metoder/JOS-archive/) These articles were made freely available by Statistics Sweden ("You are free to use and download the articles as long as you mention the source (JOS: Statistics Sweden)"), but the scans of printed copies are still marked as copyrighted by Statistics Sweden.Statistics Swede
Statistics Sweden
No full textSwedens Statistical database contains a large amount of official statistics that Statistics Sweden is responsible for. Also included are official statistics from other statistical authorities. The database contains a number of tables where selected information can be presented on the screen, in print or transmitted to the user's computer for further processing
Editing statistical records by neural networks
Get PDFGjengitt med tillatelse av Statistics Sweden og forfatteren.Editing records to ensure quality in statistical surveys is an expensive and timeconsuming process. Since the introduction of computers in statistical processing, development and use of automated editing have been important objectives. In this article, editing is reformulated as a neural network problem. The use of such a network is demonstrated and a preliminary evaluation is presented
Folkomröstningsundersökningen 2003
No full textIn conjunction with the referendum on Swedish membership of the European monetary Union (EMU) an election study was carried out in collaboration between Statistics Sweden and the Department of Political Science at Göteborg University. Purpose: Explain why people vote as they do and why an election ends in a particular way. Track and follow trends in the Swedish electoral democracy and make comparisons with other countries.In conjunction with the referendum on Swedish membership of the European monetary Union (EMU) an election study was carried out in collaboration between Statistics Sweden and the Department of Political Science at Göteborg University. Syfte: Förklara varför väljare röstar som de gör och varför val slutar som de gör. Spåra och följa trender i svensk valdemokrati och göra jämförelser med utvecklingen i andra länder
Panel Valundersökningen 2002 - Folkomröstningsundersökningen 2003
No full textIn conjunction with the referendum on Swedish membership of the European monetary Union (EMU) an election study was carried out in collaboration between Statistics Sweden and the Department of Political Science at Göteborg University. Purpose: Explain why people vote as they do and why an election ends in a particular way. Track and follow trends in the Swedish electoral democracy and make comparisons with other countries.In conjunction with the referendum on Swedish membership of the European monetary Union (EMU) an election study was carried out in collaboration between Statistics Sweden and the Department of Political Science at Göteborg University. Syfte: Förklara varför väljare röstar som de gör och varför val slutar som de gör. Spåra och följa trender i svensk valdemokrati och göra jämförelser med utvecklingen i andra länder
Inflation Measurement with Scanner Data and an Ever‑Changing Fixed Basket
No full textStatistics Sweden introduced scanner data into parts of the consumer price index several years ago, with the concern to ensure comparability over time and between countries. In this article, we discuss the issue of preserving the fixed basket approach and whether the traditional manual item replacement strategy, with quality and quantity adjustments, is still a relevant method to ensure comparability despite the change in data collection mode and extensiveness of data. Biases from improper quantity adjustments are discussed and illustrated through numeric examples based on real changes in the Swedish market of daily necessity products. Manual adjustments of quality and quantity are implemented by following a small random sample of representative items, i. e. a fixed basket, which therefore leads to imprecision or variance in the consumer price index. This may be a questionable approach given the availability of census-like scanner data, thus the bias-variance trade-off is addressed. The sample size related variance is estimated through a jackknife method and contrasted with quality/quantity adjustments.Tongur Can. Inflation Measurement with Scanner Data and an Ever‑Changing Fixed Basket. In: Economie et Statistique / Economics and Statistics, n°509, 2019. Big Data and Statistics. Part 2. Big Data in the Consumer Price Index. pp. 31-47
Brief von Josef Steindl an das National Central Bureau of Statistics, Sweden
No full textBRIEF VON JOSEF STEINDL AN DAS NATIONAL CENTRAL BUREAU OF STATISTICS, SWEDEN
Brief von Josef Steindl an das National Central Bureau of Statistics, Sweden ([1])
Brief ([1])
Envelope ([2]
Uncertainty analysis in statistical matching
No full textAmong the goals of statistical matching, a very important one is the estimation of the joint distribution of variables not jointly observed in a sample survey but separately available from independent sample surveys. The absence of joint information on the variables of interest leads to uncertainty about the data generating model. The present article reviews the concept of uncertainty in statistical matching and how to measure it by providing a unified framework for the parametric and nonparametric setting. Furthermore, the reduction of uncertainty due to the introduction of logical constraints is investigated and a simulation experiment is performed. © Statistics Sweden
- …
