In the early 20th century Helen Todd, a factory inspector in Chicago, interviewed 500 children working in factories, often in dangerous and unpleasant conditions. She asked children the question: “If your father had a good job and you didn’t have to work, which would you rather do—go to school or work in a factory?” 412 said they would choose factory work. One fourteen year old girl, who was interviewed lacquering canes in an attic working with both intense heat and the constant smell of turpentine, said “School is the fiercest thing you can come up against. F
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?
We want to increase (girls) education… but what’s the best way to do this?
Yesterday, in Part I of this post, we argued the extant empirical evidence suggests that the conditions cause a substantial amount of the desired behavior change intended by CCT programs. In other words: the “substitution effect” due to the condition may well be larger than the “income effect” of the transfers. For example, in the case of the Malawi experiment, the income effect was responsible for less than half of the total impact on school enrollment.
One of the questions discussed at the recent World Bank workshop on the "Second Generation of CCT Evaluations" (website, complete with at least some of the presentations, here) was the role of the first C in the performance of the CCT: how important is the condition in accounting for the outcomes of conditional cash transfer programs?
An interesting, recently revised working paper by Duflo, Dupas and Kremer looks at the effects of providing school uniforms, teacher training on HIV education, and the two combined. This paper is useful in a number of dimensions – it gives us some sense of the longer term effects of these programs, the methodology is interesting (and informative), and finally, of course, the results are pretty intriguing and definitely food for thought.
Today's post comes from guest bloggers Hanan Jacoby and Ghazala Mansuri...
New York City has suspended payments in a pay-for-performance program for teachers after an experiment found the program had not worked. From the New York Post:
Another attempt by the city to improve student performance through cash payments has failed, much to the surprise of Mayor Bloomberg.
At a recent seminar someone joked that the effect size in any education intervention is always 0.1 standard deviations, regardless of what the intervention actually is. So a new study published last week in Science which has a 2.5 standard deviation effect certainly deserves attention. And then there is the small matter of one of the authors (Carl Wieman) being a Nobel Laureate in Physics and a Science advisor to President Obama.
Regardless of whether we do empirical or theoretical work, we all have to utilize information given to us by others. In the field of development economics, we rely heavily on surveys of individuals, households, facilities, or firms to find out about all sorts of things. However, this reliance has been diminishing over time: we now also collect biological data, try to incorporate more direct observation of human behavior, or conduct audits of firms.