Statistical Journal of the United Nations Economic Commission for Europe
Опубликовано на портале: 12-12-2002John Greenlees Statistical Journal of the United Nations Economic Commission for Europe. 2000. Vol. 17. No. 1. P. 59-74.
This paper describes the major methods used by statistical agencies to adjust for differences in the quality of a good or service when one item replaces another in a sample used to construct a Consumer Price Index. The methods are categorized as either direct, including the production-cost and hedonic approaches, or indirect, such as linking or class-mean imputation. The paper also presents simplified example calculations showing how the methods are applied in practice.
Industrial and consumption waste. How to meet the indicator needs. Experiences from Finland [статья]
Опубликовано на портале: 12-12-2002Simo Vahvelainen Statistical Journal of the United Nations Economic Commission for Europe. 1970. Vol. Volume 19. Number 1. P. 65 - 78 .
Statistics Finland has compiled waste statistics since the mid-1980s. The data material included administrative registers, surveys and research results. Waste was initially classified according to a 'Finnish' classification based on composition of waste until the mid-1990s, and later according to the European Waste Catalogue (EWC). A Guide to Waste Classification was drafted to facilitate classification in 1999. The Standard Industrial Classification (NACE) has been employed as a background classification for waste statistics. Waste statistics have been and are being used especially for preparing the national waste strategy and the waste management guidelines, in the planning stage of waste treatment plants, for research, and as supplementary material for compilation of material flow accounting.
Statistical disclosure control (SDC) in practice: some examples in official statistics of Statistics Netherlands [статья]
Опубликовано на портале: 12-12-2002Eric Schulte Nordholt Statistical Journal of the United Nations Economic Commission for Europe. 2001. Vol. Volume 18. Number 4. P. 321 - 328 .
The paper describes how two related software packages can be applied for producing safe data. The package - ARGUS is used for tabular data and its twin w-ARGUS for microdata. The main techniques used to protect sensitive information are global recoding and local suppression. Bona fide researchers who need more information have the possibility to visit Statistics Netherlands and work on-site in a secure area within Statistics Netherlands. Some examples are given of official statistics that have benefited from statistical disclosure control techniques.