A recent paper in Lancet Global Health found that generous conditional cash transfers to female secondary school students had no effect on their school attendance, dropout rates, HIV incidence, or HSV-2 (herpes simplex virus – type 2) incidence. What happened?
Berk Ozler's blog
- Friday Links
- In the journal Epidemics, McCormick et al. (2017) consider the static and dynamic displacement effects of behavior change interventions for HIV prevention.
- Just this week, I provided a journalist with a bunch of citations, most of which she could not access. Perhaps, no more? LSE Impact Blog discusses the Unpaywall: "The extension is called Unpaywall, and it’s powered by an open index of more than ten million legally-uploaded, open access resources. Reports from our pre-release are great: “Unpaywall found a full-text copy 53% of the time,” reports librarian, Lydia Thorne. Fisheries researcher Lachlan Fetterplace used Unpaywall to find “about 60% of the articles I tested. This one is a great tool and I suspect it will only get better.” And indeed it has! We’re now getting full-text on 85% of 2016’s most-covered research papers."
“We propose a model of the household with consumption, production and revealed preference conditions for stability on the marriage market. We define marital instability in terms of the consumption gains to remarrying another individual in the same marriage market, and to being single. We find that a 1 percentage point increase in the wife’s estimated consumption gains from remarriage is significantly associated with a 0.6 percentage point increase in divorce probability in the next three years.”
Andrew Gelman has a post from last week that discusses the value of preregistration of studies as being akin to the value of random sampling and RCTs that allow you to make inferences without relying on untestable assumptions. His argument, which is nicely described in this paper, is that we don’t need to assume nefarious practices by study authors, such as specification searching, selective reporting, etc. to worry about the p-value reported in the paper we’re reading being correct.
Cash transfers are great – lots of people are telling you that on a continuous basis. However, it is an open question as to whether such programs can improve the wellbeing of their beneficiaries well after the cessation of support. As cash transfer programs continue to grow as major vehicles for social protection, it is increasingly important to understand if these programs break the cycle of intergenerational poverty, or whether the benefits simply evaporate when the money runs out…
One of the things I get asked when people are designing experiments – when they are either interested in or worried about spillover effects – is how to divvy up the clusters into treatment and control and what share of individuals within treatment clusters to assign within-cluster controls. The answer seems straightforward – it may look intuitive to assign a third to each group and I have seen a few designs that have done this, but it turns out that it’s a bit more complicated than that. There was no software that I am aware of that helped you with such power calculations, until now...
Subsidies to increase utilization are used in all sorts of fields and I have read more than my fair share of CCT papers. However, until last week, I had not come across a scheme that paid people to purchase their urine. Given that I am traveling and the fact that I am missing Halloween, I thought I’d share (I hope it’s not TMI)…
Here is the abstract of an article by Tilley and Günther (2016), published in Sustainability:
“In the developing world, having access to a toilet does not necessarily imply use: infrequent or non-use limits the desired health outcomes of improved sanitation. We examine the sanitation situation in a rural part of South Africa where recipients of novel, waterless “urine-diverting dry toilets” are not regularly using them. In order to determine if small, conditional cash transfers (CCT) could motivate families to use their toilets more, we paid for urine via different incentive-based interventions: two were based on volumetric pricing and the third was a flat-rate payment (irrespective of volume). A flat-rate payment (approx. €1) resulted in the highest rates of regular (weekly) participation at 59%. The low volumetric payment (approx. €0.05/L) led to regular participation rates of only 12% and no increase in toilet use. The high volumetric payment (approx. €0.1/L) resulted in lower rates of regular participation (35%), but increased the average urine production per household per day by 74%. As a first example of conditional cash transfers being used in the sanitation sector, we show that they are an accepted and effective tool for increasing toilet use, while putting small cash payments in the hands of poor, largely unemployed populations in rural South Africa.”