Labour market statistics and analysis

14 September 2020

en BOTSWANA: STATA for Labour Market Analysis

11 June 2020

en Stata for labour market analysis

The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policy-making. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-to-use, and is utilized across the world for analyzing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer this online training on using STATA for labour market analysis. Harnessing the latest ground-breaking distance learning technologies, the ITCILO is proudly offering this course online for the first time in full collaboration with the ILO Department of Statistics.

18 November 2019

en Labour Market Statistics and Analysis Academy

The Academy is being offered to meet the current and future needs of countries to strengthen their labour market statistics and analysis systems in the wake of new international statistical standards and groundbreaking developments in the world of statistics. The Academy will help countries enhance institutional capacity to identify, collect, analyse and disseminate labour market information and other indicators related to decent work, including the SDG indicators. It will emphasize new standards set by the International Conference of Labour Statistics, particularly in the 20th ICLS, which took place in 2018. The Academy will also highlight the relevance of statistics in responding to the different dimensions of the Future of Work, including the rise of non-standard forms of employment.

18 February 2019

en Institutional capacity building for effective labour market information systems (LMIS)

This course aims to build the institutional capacity to design effective systems for comprehensive, timely and high-quality labour market data production and analysis that supports evidence-based policy formulation.

fr Développer les capacités institutionnelles pour améliorer l'efficacité des systèmes d'information sur le marché du travail

Ce cours vise renforcer les capacits institutionnelles en faveur de la conception de systmes efficaces de production et d'analyse globales, opportunes et de qualit d'informations sur le march du travail permettant une formulation de politiques bases sur des lments factuels.

30 July 2018

en STATA for labour market analysis

Using a step-by-step approach based on Stata software, this course provides practical skills and tips for analysing labour force surveys to construct and interpret key decent work and SDG indicators.

30 October 2017

en Academy on Labour Market Statistics and Analysis: Measuring Decent Work in the context of SDGs

The main objective of the Academy is to enhance ILO member
countries’ capacity to collect, process, disseminate, analyse, and
interpret labour market information that is aligned with the latest
international statistical standards.

15 January 2017

How to increase results on jobs for youth in sector operations of the AfDB/Comment augmenter les résultats en termes d'emploi des jeunes dans les opérations sectorielles de la BAD

How to increase results on jobs for youth in sector operations of the AfDB/Comment augmenter les résultats en termes d'emploi des jeunes dans les opérations sectorielles de la BAD

1 January 2017

en My Financial Cooperative

What Millennials Want. The Future of Millenials in the Credit Union System

We’re all familiar with the stereotypes of 18- to 24‑year-olds: cconfident,
coddled, open-minded, ambitious, entrepreneurial, naive, intelligent, and
technology-focused to a fault. One could spend hours listing adjectives. As
baby boomers transition into retirement and Gen X prods along, millennials
are quickly becoming the leaders and innovators of today.
In a competitive marketplace, attracting the youngest generation is not
just good business; it’s a survival imperative. Millennials 18–24 years old
have been a key focus for credit unions over the last 10 years—and for good
reason: There are nearly 71 million millennials, born between the late 1970s
and early 1990s, in the United States today. The potential for credit unions
to capture a significant market share of this demographic is pretty high by
even the most conservative estimates or projections. And yet, the flood of
new members has never really happened.
Why, then, have credit unions struggled in capturing the hearts and minds
of millennials throughout the last decade? After all, the financial meltdown
of 2008 should have been the turning point for credit unions to overtake
banks as the primary financial institution of choice for young adults. The
stigma of the word “banks” should have been enough to drive millennials
toward credit unions. Do the youngest millennials understand the credit
union concept as well as their parents and grandparents do?
What Is the Research About?
This study addresses what has been done and what can be done to help the
youngest millennials—particularly the 18- to 24‑year-olds—better understand
the credit union system and the principles it operates on. Using a
mix of primary research and literature review, we were able to create a
foundational study that outlines how 18- to 24‑year-olds currently perceive
credit unions, whether they differentiate between banks and credit unions,
and whether credit union characteristics such as nonprofit status and
member governance matter to them.
The primary research relied on multi-platform
surveying tools to survey
a broad segment of youth. This was supplemented with an online scan of
discussions, blog posts, and other content produced by youth about financial
Executive Summary
What Are the Credit Union Implications?
No one is going to “solve” millennials. This is a huge generation, facing unique and new challenges. At the same time, we are all hurtling into a new globalized, networked future that none of us yet fully understand. Having said that, the information, statistics, and studies do suggest some strategies worth considering:
Technology isn’t enough to impress. Going mobile is effectively meaningless as a differentiator because everyone should be—and soon will be—doing it. Given that the cell phone is one of the fastest-spreading technologies in history, defining millennials as the “mobile generation” is shortsighted. It doesn’t define just them; it defines us all.
Social media is crucial for engagement. Social media can’t be a halfhearted effort or something that doesn’t spring from the authentic nature of the organization. Credit unions that have had success with social media use it as a natural extension of their work, not as a pure marketing effort.
Focusing on price will cost you the game. Let’s stipulate that lower prices and fair treatment are critical. Credit unions recognize

24 October 2016

fr Académie sur les statistiques et l'analyse du marché du travail

L'acadmie a pour but de se renforcer la capacit institutionnelle de collecte, traitement, diffusion, analyse et interprtation des informations sur le march du travail conformment aux dernires normes internationales sur les statistiques.

2 November 2015

en Academy on Labour Market Statistics and Analysis

The main objective of the Academy is to enhance ILO member
countries’ capacity to collect, process, disseminate, analyse, and
interpret labour market information that is aligned with the latest
international statistical standards.