While reading a newspaper over the holidays, one of us came across an article with an often common story: “car collision causes mass fatalities on mountain road”. The collision resulted in 51 deaths, after a bus--one of the vehicles involved, plunged down a cliff in Peru. Many of the dead were returning to Lima after celebrating the New Year’s holiday with family outside the city.
Download the January 2018 Global Economic Prospects report.
Global trade regained significant momentum, supported by an upturn in investment.
As headwinds ease for commodity exporters, growth across emerging and developing economies is expected to pick up. However, risks to the outlook remain titled to the downside, such as the possibility of disorderly financial market adjustment or rising geopolitical tensions.
A major concern in the subdued pace of potential growth across emerging market and developing economies, which is expected to further decline in the next decade. Structural reforms will be essential to stem this decline, and counter the negative effects of any future crisis that could materialize.
The broad-based recovery should continue
Global growth accelerated markedly in 2017, supported by a broad-based recovery across advanced economies and emerging market and developing economies (EMDEs), and it is expected to edge up in 2018.
I am deeply saddened at the loss of Peter Sutherland, who passed away this week.
Photo: VahanN / Shutterstock.com
Downtown Yerevan. Gusty winds, frosty air. Inside a hotel in the town square, cocktails and canapés, speeches and signatures. On this evening in November 2016, representatives of the State Committee for Water Economy (the Armenian water authority) and Veolia (a large international water operator) gathered to celebrate the signing of a new partnership: a 15-year national lease to provide water and wastewater services for the whole country. The lease began in January 2017, thus marking the start of a “second generation” of water PPPs in Armenia. Solid gains had already been made under the “first generation” between 2000 and 2016. At this crucial juncture, a World Bank study reviewed Armenia’s experience so far and analyzed the way forward under the new national lease.
Over 1.25 million people are killed each year on the road. And 20-50 million others are seriously impacted by road traffic injuries. While most regions have seen a decrease in road-traffic related death rates, Sub-Saharan Africa and Middle East and North Africa still see over 20 deaths per 100,000 people every year.
A new report produced by the World Bank and funded by Bloomberg Philantrophies estimates the social and economic benefits of reducing road traffic injuries in low- and middle-income countries.
When early December was upon us—heralding the start of the month of annual festivities—a group of women executives met to put forward strategies for equality in business. They met against a background of the harsh reality of women’s exclusion from leadership positions in Zimbabwe, brought to the fore in a recently released Confederation of Zimbabwe Industries (CZI) Manufacturing Survey for 2017.
The survey, which derived some of its data from the 2016 World Bank Enterprise survey as well as from the Reserve Bank of Zimbabwe, revealed that—in a country struggling with unemployment—the labor force in the manufacturing sector is composed of only 20 percent women on average, and 80 percent of men.
If you want to reduce poverty, you have to be able to identify the poor. But measuring poverty is difficult and expensive, as it requires the collection of detailed data on household consumption or income. We just launched a competition together with data science platform Driven Data, to help us see how well we can predict a household’s poverty status based on easy-to-collect information and using machine learning algorithms.
The competition supplies a set of training data with anonymized qualitative variables from household surveys in 3 countries, including the “poor” or “not poor” classification for each observation.
The challenge is to build models which can accurately classify households from a different set of test data (with the poor/not poor classification removed!) for the same 3 countries, and then submit them for scoring. Performance is measured by the mean log loss for the 3 countries which tells us how accurate the classification models developed are.
Prizes are $6,000; $4,000; and $2,500 for the top 3 performing entries, plus a $2,500 bonus prize for the top-performing entry from a low- or lower-middle income country. The deadline for entries is February 28th 2018.
You can read the full problem description and enter the competition here, and see the Driven Data team’s “benchmark solution” based on a random forest classifier.
Good luck - we look forward to seeing your solutions!