Experiments are commonly used in economics to test whether certain factors affect, for example, the behavior of consumers or the productivity of workers. When planning an experiment, several important decisions have to be made, such as how many subjects should participate. If this number is too small, there is a risk that the study cannot uncover an existing effect.
Another important question concerns the choice of design, whether participants take part in all experimental conditions (a so-called within-subjects design) or whether each participant takes part in only one experimental condition (between-subjects design). Both decisions imply tradeoffs. Between-subjects designs require more participants than within-subjects designs. But it is generally not known how much more participants are needed.
In a new IZA Discussion paper, Charles Bellemare, Luc Bissonnette and Sabine Kröger demonstrate how ex-ante power calculations can be conducted in a flexible way using simulations in order to compute the minimal number of participants. They show the trade-off between the choice of design and minimal number of participants needed. In their application of labor market gift giving field experiments, they find that between-subjects designs require 4 to 8 times more participants than within-subjects designs to reach the same power to detect an effect. The authors offer a STATA software package that runs the simulations and can be used to compute the minimal number of sample size needed to detect an effect for a variety of situations for different design choices.

The ongoing crisis calls for better fiscal cooperation within the European Economic and Monetary Union (EMU). Beyond tax policy coordination, there is also a strong demand for shock-absorbing mechanisms that could replace the lost instrument of exchange rate adjustment. The introduction of an EMU-wide unemployment insurance mechanism is currently debated as a potential tool to stabilize output and employment in recessions.
Women do more housework than men. For most of history this phenomenon went largely unremarked. Housework was what women did, while men supported their families with paid work. However, the role of women has been changing: women’s educational levels are now at least as good as those of men; most women do paid work for most of their adult lives; and although gender pay gaps still exist, women’s earnings (in particular, the earnings of younger childless women) have been gradually approaching those of men. While things have also been changing in the domestic sphere, with men doing an increasing share of housework and childcare, surveys still show that women do the lion’s share of housework – even in households where both partners have full-time paid jobs.






Immigrant women in the labor market have long been viewed as “secondary workers” who work in unskilled jobs, mainly as a response to family needs and to support their husbands’ skills upgrading. As household financial constraints ease with men’s assimilation in their destination country, women’s labor market participation is expected to drop again. An
Although women account for 57% of all students at UK universities, the share of female economics students is only about 27%. In
The educational system is built upon a sequence of tests to measure student performance. Improving student performance is a key educational and economic policy issue to which much time and resources are devoted. At the same time, the results of these tests often lay the foundation for the distribution of school resources and spur considerable public debates. A question that has not received as much consideration is how test incentives inherent in our conventional grading system affect student motivation and effort? What if we leave the beaten path of grading students on scale from 1 to 6 or A to F and introduce alternative ideas of incentivizing students?