OCTOBER 6, 2002

Direct from Sweden: Journal of Official Statistics

The Journal of Official Statistics is an on-line magazine produced by Statistics Sweden. The Journal publishes articles on statistical methodology and theory, with an emphasis on applications. Considering their reliance on empirical data in general and official statistics in particular, program evaluation specialists could be interested in the Journal publication areas:

• sampling design;
• estimation;
• analytical uses of data;
• questionnaire design;
• quality control;
• database management;
• confidentiality;
• ethics;
• dissemination;
• presentation of quality;
• training of statisticians;
• the role of statistics in today's society;
• the relations between producers, users, and respondents;
• intra-organization collaboration;
• international statistical cooperation;
• evaluation and identification of statistical needs.

The Journal is entirely free and available on-line. Full-text versions of the articles are posted as Acrobat PDF files. Here are some article titles from the last few issues:

• A Neural Network Model for Predicting Time Series with Interventions and a Comparative Analysis
• Understanding the Cognitive Processes of Open-Ended Categorical Questions and Their Effects on Data Quality
• What Leads to Voting Overreports? Contrasts of Overreporters to Validated Voters and Admitted Nonvoters in the American National Election Studies
• Applying Pitman's Sampling Formula to Microdata Disclosure Risk Assessment
• The Delete-a-Group Jackknife
• Does the Model Matter for GREG Estimation? A Business Survey Example
• An Exploration of Question Characteristics that Mediate Interviewer Effects on Item Nonresponse
• The Use of Neutral Responses in Survey Questions: An Application of Multiple Correspondence Analysis
• Finite Sample Effects in the Estimation of Substitution Bias in the Consumer Price Index
• Estimation of the Rates and Composition of Employment in Norwegian Municipalities
• Statistical Matching: A Paradigm for Assessing the Uncertainty in the Procedure
• Some Statistical Problems in Merging Data Files

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