Statistical Journal of the United Nations Economic Commission for Europe
Опубликовано на портале: 12-12-2002
John 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: 12-12-2002
Simo 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.

Опубликовано на портале: 12-12-2002
Eric 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.

Statistics for social progress [статья]
Опубликовано на портале: 12-12-2002
Lene Mikkelsen, Clare Menozzi
Statistical Journal of the United Nations Economic Commission for Europe.
2000.
Vol. 17.
No. 3-4.
P. 201-260.
The authors propose to use the 1995 Framework and the Minimum National Social Data
Set indicator list as a stepping stone for regional and national initiatives for
monitoring social development. In particular, it is proposed that both outcomes and
inputs are included in the framework to guarantee a more complete understanding of
the effectiveness of policy programmes for social development. It is argued that
to make the statistical framework operational, technical issues such as improving
data collection, intensifying the conceptual development and integration of social
statistical systems, investing in training and research and improving statistical
dissemination are all requisites to moving forward. A series of follow-up measures
to Geneva 2000 are also proposed.
