Labour Statistics for Labour Markets
- Introduction to the labour force survey - Monica Castillo (ILO)
- Administrative data collection - Roberto Leombruni (University of Turin, Laboratorio R. Revelli)
- Analysing labour force survey data to conduct applied labour economics research in developing countries - Christophe Nordman (IRD-DIAL)
Introduction to the labour force survey
This course focuses on understanding the important role of the labour force survey to produce key labour statistics and support the construction of indicators that support monitoring the progress towards decent work.
Producing reliable and timely labour statistics is essential to the research and information needs for sound, evidence-based policy-making. This applied short course will present an overview on labour statistics, including their scope and uses, as well as provide a brief introduction to the international labour statistics standards. Students will also learn about the scope of decent work statistics which goes beyond that of traditional labour statistics. The principles and framework for measuring decent work will be explored, including the structure and indicators that can be produced from a labour force survey. It will offer insights regarding the labour force survey planning process including defining measurement objectives and planned outputs and understanding key measurement and representation processes that are critical to labour force survey design.
Students will learn about the latest international recommendations on statistics of work, employment and labour underutilization adopted during the 19th International Conference of Labour Statisticians (ICLS). This Resolution presents not only refinements to existing ICLS standards on conceptual definitions and guidelines on measuring employment and unemployment and other components of the working age population, but also presents a new framework and guidelines for measuring different forms of work. This Resolution also presents recommendations on measures of labour underutilization which serve to complement the unemployment rate. Finally, students will learn some key elements about labour force survey questionnaire design and data quality issues.
The course will be designed so as to combine interactive lectures with group exercises to help reinforce the information presented.
Administrative data collection
The object of the course is to present the theoretical and practical aspects involved in the use of administrative data for socio-economic research.
During the course the students will learn:
- what are administrative data, and which their pros and cons with respect to survey data;
- which are the tools needed to convert administrative information into a data base for socio-economic research.
As regards the contents, the course will firstly present which are the current international practices and recommendations about the use of administrative data for statistical purposes, discussing why and how administrative data have come to a prominent role in the production of statistical information about socio-economic systems. The rest of the course will be devoted to present the main steps in the design of socio-economic data bases built starting from administrative information:
- identification of the target population;
- data quality analysis and data editing;
- coding of variables;
- handling of missing data;
- creation of derived variables;
- integration of different data sources;
The course will the taught using as a leading example a longitudinal data base on health and work histories developed for the Italian Minister of Health.
Analysing labour force survey data to conduct applied labour economics research in developing countries
Analysing Labour Force Surveys (LFS) in developing countries is at the core of labour economics for development.
This applied course on analysing LFS data consists of providing the students with the essential labour economist tool box for working on developing countries, given data scarcity and imperfections in these countries. This includes: understanding how to manage a LFS using the statistical package STATA (including reading and using a LFS questionnaire, understanding the sampling design of the survey), producing and discussing simple labour market statistics (in particular knowing which ones could be the most relevant in developing countries), identifying vulnerable groups of workers using the ILO decent work indicators and, finally, performing basic econometrics, such as manipulating earnings equations, decomposing the gender earnings gaps, and conducting econometric analysis of unemployment. This course finally provides knowledge on how to establish a labour market profile to monitor labour market conditions.
The organization of the course will be as follows: (1) through practical computer-based exercises, establishing a profile of vulnerable groups in the labour market using LFS data on one or several African countries; (2) using a series of applied exercises to look at some of the determinants of labour market outcomes (earnings, employment, unemployment). Special attention will be devoted to producing indicators that are relevant to gender issues and the rural/urban divide. The course will conclude with an overview of related data needs.