- Nice roundup on the wage penalty for mothers vs fathers across 6 OECD economies in the Economist (hint: it’s really large, and correlates well with population-wide attitudes towards mothers who work; RT @piza_caio).
- Friday Links
Enumerators play a crucial role in the success of field-based impact evaluations. Despite the central role they play in the research process, enumerators are rarely in the spotlight. We recently interviewed a few Innovations for Poverty Action (IPA) enumerators working with us on a high-frequency market survey in Rwanda in the context of a rural feeder road upgrading project.
How to do Implicit Association Test?
Implicit Association Tests (IATs) are being increasingly used in applied micro papers. While IATs can be found off-the-shelf, designing your own IAT may allow you to get at respondents’ implicit attitudes towards something more contextual. We added a custom IAT to a survey of commuters in Rio de Janeiro, and here we'll go over the practical steps involved. For our project, we wanted to measure male and female commuters’ implicit attitudes towards women riding the subway on the co-ed car relative to women riding the women’s-only car. The idea was to quantify the stigma women may face for not using gender-segregated spaces.
The comparison of poverty rates across two countries, or across regions within a country, is a common occurrence in analysis produced at the World Bank and other development agencies, as well as in published academic papers. For any poverty comparison to have meaning, however, the analyst needs to norm the various observed states of the world to a known standard of living. In other words, any poverty comparison is meaningful only if it can be said to achieve welfare consistency.
Welfare consistent comparison across space requires local price data so that levels of living measured in dollars earned, or dollars consumed, do not get confounded with the differences in price levels across localities. After all, a poor area may be only nominally poor due to a low cost of living, but not any poorer in real terms. How would we know the difference without the right prices?
An article titled “Synthetic control arms can save time and money in clinical trials” that I read last month discusses how drug trials can be faster and cheaper by using data collected from real world patients instead of recruiting a control group, hence the term “synthetic controls.” Proliferation of digital data in the health sector, such as “…health data generated during routine care, including electronic health records; administrative claims data; patient-generated data from fitness trackers or home medical equipment; disease registries; and historical clinical trial data” makes such designs an increasingly feasible possibility. Combined with the fact that large amounts of time and money are spent on clinical trials, the option is attractive to researchers, drug companies, and patients awaiting new treatments alike.