Globally, tremendous progress has been made in reducing extreme poverty in the last 25 years. However, the number of poor remains unacceptably high, at just over 1 billion in 2011 compared with 1.2 billion in 2008, creating a widening gap between the living standards of those in the bottom 40 percent and the top 60 percent of the population. According to the recently released Global Monitoring Report, the well-being of low income households still remains below that of households in the top 60 percent directly impacting young children who are 2-3 times more likely to be malnourished than those in the highest wealth quintiles.
Today, November 10, is World Science Day, and the focus of the Day this year is quality science education. Learning in schools in many developing countries is low. But the same can be said for many schools in Washington, DC. On PISA (Programme for International Student Assessment), the international benchmark to measure mathematics skills and science literacy, among 34 OECD countries the US ranked 27th in mathematics and 20th in science, with no statistically significant improvement over time. Within the US, again in terms of performance in mathematics, the capital city of Washington DC ranks last behind all states in the national NAEP assessment. Improving such low levels of performance requires a concerted effort, but tutoring for STEM (Science, Technology, Engineering, and Mathematics) subjects can help. Tutoring can be part of the solution to improve learning.
Kaushik Basu, Barry Eichengreen, and Poonam Gupta have written a new column titled “From tapering to tightening: The impact of the Fed’s exit on India,” which describes the impact of the US Fed’s tapering on India.
A new paper by Gbemisola Oseni, Kevin McGee, and Andrew Dabalen examines the determinants of agricultural productivity and its link to poverty using nationally representative data from the Nigeria General Household Survey Panel, 2010/11.
Last week, Mali announced a national strategic plan to scale up Community Health Workers in every region of the country. This initiative has the potential to save tens of thousands of lives, including significantly reducing the risk of an Ebola epidemic.
How was this achieved? Roll back a few years and meet Djeneba, a young girl living in Yirimadjo. Today she goes to school but her life was once threatened. Djeneba started getting high fevers but her parents did not have enough money to pay for care. They tried to break the fever by bathing her in herbal remedies and buying unregulated pharmaceuticals but the fevers persisted and became increasingly severe.
Ending poverty and achieving shared prosperity will require more than economic growth. It will require pro-poor policies to be sustainable.
The recently released Global Monitoring Report 2014/2015 focuses on the importance of sustainability as a means to enable countries to reach out to their poorest people over the medium term (to 2030) and long term (beyond 2030).
The recently released fifth report of the Intergovernmental Panel on Climate Change (IPCC) makes abundantly clear that human-induced climate change is taking place, and that unchecked climate change poses a serious threat to economic development and human well-being. Even leaving aside the problem of increased risk of low-probability but catastrophic events, climate change threatens people and places through damages to unique and important ecosystems, increases in severe weather events, reductions in productivity, and needs for increased expenditures to counter the threats such as greater costs to build and maintain infrastructure. For a number of reasons, the poor are likely to be disproportionately affected by these threats.
A common approach used to show high mobility is a low correlation of present and past incomes is captured, for instance, by the Hart index (cov lnyt, lnyt-1). If we assume, as is often done, that an individual’s income is comprised of a transitory component (short-term blips up or down in a self-employed person’s income that we can smooth, or even measurement error), and a permanent component where each income shock is persistent (say, an income loss after an involuntary job change (an AR (1) process with autoregressive coefficient, ρ), then the Hart index can be broken into three parts.
In Even it Up: Time to End Extreme Inequality, Oxfam has delivered another powerful report making the case that tackling inequality is essential to create a more just world and to eliminate extreme poverty. I was asked to comment on this newly released report at an October 31 event held at the IMF, and was as impressed by the presentation as I was with the report.
Oxfam effectively uses research findings to advocate for policy changes to reduce global inequality. This statistics-laden report also wisely features compelling stories about real people, helping the reader to better understand how vast disparities in wealth adversely affect wellbeing. Oxfam has consistently argued to bring inequality to the fore of policy discussions, and not surprisingly, this report appears to have created a groundswell for their global #Even It Up campaign. While there were instances where I found myself questioning the quality of some references supporting a few statements and estimates, my overall reaction was that the ‘big picture’ claims of the report were well substantiated. In my comments, I suggest that if this report is a call to action, a useful next step for Oxfam or a partner in this work, will be to bring more clarity to what it means to eliminate extreme inequality. Establishing a goal or a measure to monitor progress will help to create better policies, and ensure better collaboration across governments and institutions.
The International Day of the Girl Child earlier this month was an opportunity to remind ourselves that girls are among the primary victims of violence, and that they continue to, in many countries, have limited education and employment opportunities.
The goal of the Enterprise Surveys (ES) is to portray the quality of the business environment in the economy by asking a set of questions that capture both the experiences and perceptions of firms. Little is known about what businesses experience in emerging and developing economies and the Enterprise Surveys intend to some extent alleviate this knowledge gap. Below we provide highlights of the recently released data for the Democratic Republic of Congo.