The map application uses passive mobile positioning data collected and processed by mobile operators in Estonia. Passive mobile positioning data is location data that is automatically stored by mobile operators. The map application initially displays 2017 data; if possible, the time period will be extended. For a more detailed description of the data and methodology, see the reference to the (Passive Mobile Positioning Database). The map application allows viewing long-term population figures calculated on the basis of passive mobile positioning data at the level of different spatial units in Estonia. The application is intended primarily for public authorities, local authorities and other...

The innovative migration calculator enables to assess the short and long-term effects of migration on the labor market and of population development. Population projections are static, though updated from time to time. The migration calculator to be developed is a dynamic tool that allows for quickly and easily working through different labor market and migration as well as birth rate scenarios and predict their impact on the change of the working-age population. The migration calculator is based on a population projection but allows the user to easily and conveniently change birth and migration-related prerequisites. In the model, the following parameters can be changed: total birth rate...

Harmonized data from the censuses (1989, 2000, and 2011) can be used in basic and applied research on a wide range of topics. The database covers, for example, the following topics: household and family structures of the population (independence of young people, transformation of family models, different generations); spatial location; internal migration; profiles and integration of migrants (by origin, migratory generation, and life expectancy, etc.); linguistic demography (stability and exchange of the mother tongue, acquisition of the Estonian language, knowledge of foreign languages); housing conditions and their changes. By combining information on population events in the post-census...

Passive mobile positioning data and detailed GPS data enable a variety of applied research and development of methodologies on issues related to the spatial location and movement of people, including from short-term intraday movements to long-term changes. We offer research on foreign visitors based on passive mobile positioning data.

Mobile traffic counting devices enable the operational measurement of various traffic flow characteristics and parameters, which can be used to analyze the impact of traffic and transport on different areas.

It is possible to use detailed company-level data and aggregate data of companies and employees to study various economic policy measures (tax changes, subsidies). Examples of earlier research: Within the scope of the corporate income tax exemption study, the impact of the corporate income tax reform carried out in 2000 on the operational success of Estonian companies (liquidity, productivity, profitability) was investigated. See the project report here. In a study from 2019-2020 was examined the impact of enterprise support on companies’ export capacity, survival, innovative performance, productivity, and average wages. In the project “Effect of the minimum wage on the socio-economic...

Factors of entrepreneurial performance: productivity, innovation, export It is possible to use detailed company-level data and the aggregate data of companies and employees for various applied research on factors influencing entrepreneurial performance. Examples of past research: the relationship between export and starting of export with productivity, factors of innovative operation of companies, and their relationship to entrepreneurial performance. The research work of the IMO project has grown into the project “Industrial ecosystems and inter-firm relationships – Evidence from Estonia” (2022-2023) conducted with the OECD, where the role of customer and supplier relationships...

Labor market surveys: employee mobility, wage factors, and wage inequalities It is possible to use detailed large-scale data at the individual level as well as the aggregate data of companies and employees for various applied research. Examples of earlier studies include: different studies on factors influencing the gender pay gap in Estonia; studies of changes in the occupational and age structure of the workforce; studies on the impact of the economic crisis on the Estonian labor market. Examples from previous studies: EU H2020 project “InWeGe – Income, wealth, and gender. A study and practical web tool for understanding gender pay and pension gaps in Estonia – the country with the...

Drift park with GPS support (design, deployment, tracking, data processing), remote telemetry data recording and storage, web-based (or local) database for recording and storing geographic location data.