In order to meet the goals of the research project, researchers assembled data on births, abortions, health of newborn babies, and on payments of the pregnancy benefit. These data are administrative, which means that the state collects them for its own purposes. Under certain conditions, these data can be used also for research purposes. Once the databases were assembled, state-of-the-art statistical models were estimated using the data. These models relied on paying careful attention to the way how the pregnancy benefit policy was implemented. One set of models focused on fertility, meaning that births were the main outcome of interest. Another set of models focused on abortions but this part of the analysis had to be abandoned. The reason was the COVID-19 pandemic, which culminated exactly in the moment when the effect of the pregnancy benefit on abortions should be visible in the data. Thus, it was not possible to distinguish between the effect of the pregnancy benefit and the effect of the COVID-19 pandemic on abortions. Lastly, a third set of models focused on child health at birth. The indicator that has proven important for lifelong wellbeing of people is birthweight. Therefore, low birthweight was chosen as the main indicator for this part of the analysis.