1999

1. Labour statistics which are useful for gender concerns

   01 January 1999

2. Statistics on public sector employment: Methodology, structures and trends

   01 January 1999

1998

1. Measuring working time: an alternative approach to clasifying time use

   01 June 1998

   collected from different sources in Ukraine. Also, an alternative procedure to balancing is proposed – integration of data from different sources.

2. Integration of data from different sources: Unemployment

   01 March 1998

   This article presents the first product of the ILO study: a table containing unemployment data collected from two types of sources - labour force surveys (LFSs) and administrative records (ARs) - in thirty-six countries.

3. Mapping the world of work: An international review of the work with occupational classifications and dictionaries

   01 January 1998

   This paper presents an overview of the work undertaken to develop, use and maintain national occupational classifications and dictionaries and the role of and corresponding work with the International Standard Classification of Occupations (ISCO-88) and its regional variants.

4. Compilation and presentation of labour statistics based on administrative records

   01 January 1998

1997

1. Measuring employment and unemployment through labour force surveys in transition countries: Methodology and data

   01 October 1997

   This article contains methodological descriptions as well as employment and unemployment data collected through Labour Force Surveys in fourteen transition countries.

2. Statistical aspects of minimum wage determination

   01 June 1997

   Outlines the types and sources of statistical data which are likely to be required when setting and reviewing minimum wages in a country. The statistical requirements of wage setting may assist and guide other countries in developing their statistical systems for the same purpose.

3. A programme of wages statistics for the Caribbean

   01 March 1997

4. Statistical pattern analysis and its procedure

   01 January 1997

   The "Statistical Pattern Analysis" (SPA) using a computer system is perhaps one of the simplest and most useful methods for statistical analysis in the case of integrated use of several indices. In this paper, two types of SPA are presented: firstly, an integrated observation method for several kinds of statistical data in the form of cross-table; and secondly, an analysis method for large scale data in the form of data matrices.