Across European countries, women continue to earn less than men. Looking at data for full-time working women across 30 countries, we find that women would have needed an average raise of 19 percent of their hourly wage to match male wages. Take France, for example, where the gap is close to the regional average: this would mean going from 584 Euros to 697 Euros for a 40-hour work week. In fact, in some countries the gap was higher, reaching 1/3rd of women's salaries in 2015 (see Figure 1). However, the lowest observed gaps are not found in Scandinavia, as you might expect, but in Croatia, Greece, and Belgium, where women would require a 12% wage increase to fill the gap. And these gaps have persisted over time. Over a five-year period, the gap decreased in only 10 of the 30 European countries we looked at. The most notable decreases were in Estonia (10 percentage points), the Slovak Republic (5 percentage points), and Switzerland (7 percentage points). For others, the gap has increased, particularly in Poland, Bulgaria, Lithuania, and France, where the gap has doubled, while in some Scandinavian countries (Denmark, Finland, Norway) and Latvia, the gap has remained relatively constant.
Europe and Central Asia
Machine learning methods are increasingly applied in the development policy arena. Among many recent policy applications, machine learning has been used to predict poverty, soil properties, and conflicts.
In a recent Policy Research Working Paper by Paolo Brunori, Paul Hufe and Daniel Mahler (BHM hereafter), machine learning methods are utilized to measure a popular understanding of distributional injustice – the amount of unequal opportunities individuals face. Equality of opportunity is an influential political ideal since it combines two powerful principles: individual responsibility and equality. In a world with equal opportunities, all individuals have the same chances to attain social positions and valuable outcomes. They are free to choose how to behave and they are held responsible for the consequences of their choices.
In the wake of the Global Financial Crisis (GFC), many wondered whether the strong pre-crisis trend toward greater internationalization in banking would be reversed and, more immediately, whether local state-owned banks had to assume a larger role in restoring banking stability and ensuring the delivery of credit. We revisit those conjectures in the light of new data on bank ownership and research on the post-Crisis period (Cull, Martinez Peria, and Verrier, 2018).
With more jobs and competitiveness in mind, many economies worldwide have simplified their business start-up rules and regulations over recent years. Since the first Doing Business report was launched 15 years ago in 2003, a total of 626 national reforms that reduced the time and the costs of starting a business were recorded globally.
The World Bank forecasts that global economic growth will strengthen to 2.7 percent in 2017 as a pickup in manufacturing and trade, rising market confidence, and stabilizing commodity prices allow growth to resume in commodity-exporting emerging market and developing economies. Growth in advanced economies is expected to accelerate to 1.9 percent in 2017, a benefit to their trading partners. Amid favorable global financing conditions and stabilizing commodity prices, growth in emerging market and developing economies as a whole will pick up to 4.1 percent this year from 3.5 percent in 2016. Nevertheless, substantial risks cloud the outlook. These include the possibility of greater trade restriction, uncertainty about trade, fiscal and monetary policy, and, over the longer term, persistently weak productivity and investment growth.
Download the June 2017 Global Economic Prospects report.
Global growth is projected to strengthen to 2.7 percent in 2017, as expected. Emerging market and developing economies are anticipated to grow 4.1 percent – faster than advanced economies.
Rural areas are changing rapidly, but the shift does not affect women and men in the same way.
In the process of rural development and transformation, as employment for both women and men expands in other sectors, employment in the agricultural sector is expected to shrink. Yet delving through available data and the literature, we find that the reality isn’t quite that simple. In a great number of developing countries, as men move out of family farming, women tend to stay--or move out of the sector a lot more slowly. Many women even take on new jobs and responsibilities in agriculture. We call this phenomenon the ‘feminization’ of agriculture.
Pop quiz: Which of these statements do you agree with?
- If you build “IT” they will come.
- Poor people don’t need mobile phones. They need clean water and food instead.
- Digital skills are only relevant for people who work in the ICT sector. The rest of us don’t need them.