Within the IMO, a set of harmonized census characteristics has been added to the original characteristics of the 1989, 2000, and 2011 censuses, allowing three censuses to be linked together.

The data of all three censuses are spatially detailed (permanent residences and, in the case of the 2000 and 2011 censuses, also jobs are coded with the accuracy of the settlement); the dwellings are geo-tagged (dwelling location), which enables GIS analysis. The personalization of census data enables the personalization of data from different censuses, as well as linking census data to information from other sources (primarily registers). New functionality created within the IMO extends the analytical use of census data. A harmonized description of the census data has been prepared to facilitate its use.

Work within the IMO will enhance analytical capacity in two main areas:

  • the created database creates the possibility for personalized co-operative use of multiple censuses, allowing longitudinal analysis of the entire population
  • personalized connection of different types of data sources for different purposes

Related projects

Completed studies

The data developed within the IMO have been used in research topics such as the impact of increasing retirement age on employment of older people, mixed partnership analysis to gain experience in building and using a register-based longitudinal database for the project.

Puur, A., Leppik, L., & Klesment, M. (2015). Changes in pension take-up and retirement in the context of increasing the pension age: the case of Estonia in the 2000s. Post-Communist Economies, 27(4): 497−516.

Soosaar, O., Puur, A., & Leppik, L. (2020). Does raising the pension age extend the working life? Evidence from pension age reform in Estonia. Journal of Pension Economics and Finance. Appears soon.

Use of data

The databases of censuses and registers that have passed the development cycle are made available and used through Statistics Estonia, which is also an IMO partner. To use the data, a standard application must be submitted to Statistics Estonia. The data can be used in a secure workplace at Statistics Estonia or in the Internet environment. Information on the use of data for research is available on the website of Statistics Estonia.

Contact

Allan Puur

Allan Puur

Professor

allan.puur@tlu.ee

EU Fund
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Infotechnological Mobility Observatory

The research was conducted using the research infrastructure “Infotechnological Mobility Observatory” funded by the Estonian Research Council (TARISTU24-TK18)

Beneficiary: University of Tartu

Partners: Tallinn University of Technology, Tallinn University, Statistics Estonia

Period: 2014 - 2029

Brief description: Growing spatial mobility is one of the important changes in modern society, which is related to the topics of external and internal migration, urbanization, entrepreneurship, inequality and regional development. Up-to-date and high-quality data are needed to study spatial mobility. The goal of IMO is to develop an innovative data infrastructure supporting mobility research, integrating geographically and longitudinally diverse national statistics and innovative IT data sources.