In the past year we have seen students in countries around the world protesting about the cost of higher education and lack of financial aid: Chilean students have been protesting for 7 months to change the overall educational financing system; Californians have occupied the UC Berkeley campus to protest fee hikes, and thousands of English students last year have taken part in protests against increases in tuition fees. Why is this happening all over the world?
Last year 14 million people around the world applied for the 50,000 green cards available through the U.S. Diversity Visa lottery, commonly known as the Green Card lottery.
There are "missing women" everywhere. Parents worldwide, and especially in Asia, have strong preferences for sons over daughters, which causes them to selectively abort female fetuses (Arnold et al., 2002;
We want to increase (girls) education… but what’s the best way to do this?
If you are like most people working with quantitative data in development, getting too many statistically significant results is probably not your most pressing problem. On the contrary, if you are lucky enough to find a star, whether it's of the 1%, 5% or 10% type, there are plenty of star-killers to choose from. In what is perhaps the only contribution to the rare genre of 'econometrics haiku', Keisuke Hirano reflects on one of them: T-stat looks too good // Try clustered standard errors - // Significance gone (in Angrist and Pischke's MHE).
- trial registry
Across developing countries, there is considerable under-investment in children's human capital; it is reflected in low immunization rates, child malnutrition, high drop-out rates, etc. Because of the (both individual and aggregate) long-term effects of human capital investment during childhood, governments across the globe have designed and implemented policies to encourage parents to invest more in the health and education of their children (numerous conditional cash transfer programs across countries are some examples).
In the 1960s, black and white individuals in the United States had radically different labor market outcomes. In 1962, the unemployment rate for African-Americans was 13 percent while it was only 6 percent for whites. Fifty years have passed, enough time for Martin Luther King to go from movement leader to monument, but as of 2010, the unemployment rate in the U.S.
Poor households in rural areas are exposed to substantial weather shocks that can generate great fluctuations in income and consumption if insurance markets are not complete (Dercon and Christiaensen 2011, etc.).
This week, we are starting a new series where those of you on the job market will be blogging drawing on their dissertation work. As you will remember, about 3 weeks ago we invited you to submit your JM papers to Development Impact. Many of you did, and we have subsequently invited some of you to be a guest blogger for a day.
It is well recognized that the stock of knowledge among development practitioners matters to development impact. How then do the operational staff of the largest international development agency value and use its research for their work?