Applications of innovative methods at the FSO and their initial results.
In order to provide reliable and trustworthy statistical information for democratic decision-making, the FSO has been continuously improving and developing its production since its creation in 1860. Innovative methods can generate additional value from existing data and by using new data sources. In 2020, the FSO has decided to present innovative methods (also outside the scope of innovation in data science) to a wider audience at an early stage in order to involve users in the maturation process of applying these methods.
Below you will find the applications of innovative methods that have been published to date.
The SwissCovid App Monitoring analyses data from the federal proximity tracing systems and makes the results publicly available. The monitoring statistics are still being developed. They are evolving constantly and can therefore change at short notice.
In future, the poverty statistics are to be supplemented with an indicator based on households’ total financial means (income and assets). In Switzerland no wealth data are currently available that meet the substantive and quality requirements for such analyses. The FSO therefore integrated a pilot module on the topic of wealth in the survey on income and living conditions (SILC), which is also the basis of data for official poverty statistics.
The FSO's mortality monitoring system is designed to detect whether the weekly number of deaths is higher than expected at that time of year. Mortality rates are an important indicator of health statistics and are of fundamental importance for public health. For this reason, the monitoring of mortality during a period of influenza or other epidemics is of great importance. During a major crisis, monitoring can be a robust tool to observe its course and its impact on public health.
The structural population survey provides important information on the population, including information about work. The whole purpose of Small Area Estimation is to push the boundaries imposed by standard methods. The study showed that it is possible to obtain reliable estimates for both annual economic activity rates for communes that had a sample of at least 100 people.