Experimental statistics

The aim of experimental statistics is to seek new ways of producing statistics that would allow users quick and convenient access to relevant and necessary information.

To produce experimental statistics we use:

  • data linking and combining;
  • new data sources (e.g. electricity consumption data of Elering, data of mobile network operators);
  • new methods (e.g. web scraping, machine learning);
  • modern visualisation solutions (e.g. R Shiny and Flourish).

The output of experimental statistics may diverge from the traditional requirements of official statistics such as harmonisation, coverage, comparability (geographical and over time) and tried and tested methodology.

Experimental statistics

Current projects

Economic indicators of the enterprises of e-residents

The experimental statistics team is going to publish data on the enterprises of e-residents. Our task is to develop a methodology that would allow a regular overview of how many new enterprises are registered by e-residents and what is the success and economic activity level of these enterprises (declared payments, taxes, turnover and number of employees).

Commissioned by: 

Enterprise Estonia

Data sources: 

data of the Police and Boarder Guard Board, statistical register of economic units, commercial register, data of the Tax and Customs Board

Authors: 

Eve Telpt, Kaja Sõstra

Methodology development for R&D

A methodology is being developed to determine organisations with research and development activities. Often in the business sector, people do not know how to differentiate between innovation and R&D, and sometimes they do not realise that they are actively engaging in R&D. It is in the interests of the state to observe where, how and how many R&D activities are realised and where the biggest contributions are made.

This information allows the state to support development activities and motivate introducers, strengthening the foundation of Estonia’s economic success.

Commissioned by: 

Ministry of Economic Affairs and Communications

Data sources:

statistical activities of Statistics Estonia, data of Enterprise Estonia, ARIB, Estonian Research Information System, Tax and Customs Board

Author

Jaan Õmblus

Building a value chain model on the basis of the data in the appendix to the value added tax return (form KMD INF)

The value chain model helps to find out who earns or does not earn, whose business activities make the most sense and who is just spending time and paying extra to stay in business. The model helps to find bottlenecks in the economy where demand exceeds or is starting to exceed supply and where it is reasonable to invest.

The model also shows the areas of the economy where one should be especially careful and, when possible, convert the means of production into money. It also gives a complete picture of the economy, which shows where exactly value is created, how welfare is improving and what should be done in economic policy design to increase the overall standard of living faster. It is an experiment to try to explain the formula of creating wealth at the level of enterprises as well as the state.

Commissioned by: 

Ministry of Economic Affairs and Communications and Ministry of Finance

Data sources:

data of the Tax and Customs Board

Author 

Jaan Õmblus

Skywheel

Experimental statistics elsewhere

  1. Eurostat
  2. The Netherlands
  3. Italy
  4. Switzerland
  5. New Zealand

Completed projects

Ametipalkade rakendus

Wages and salaries application

What is the median wage in Estonian counties by occupation? How much do people earn in different regions of Estonia? Statistics Estonia’s wages and salaries application allows comparing wages and salaries for 120 most common groups of occupations. The wages and salaries data are presented on graphs and charts, and the user can get a good overview about one’s wage level in one’s home county as well as in Estonia. 

Read more here.

Mobility analysis

Mobility analysis

How did the Estonian society respond to the measures implemented during the emergency situation? Did people stay more local? Statistics Estonia, in co-operation with mobile network operators, analysed, based on anonymous mobile phone data, the mobility of people before and during the emergency situation. The project lasted from 20 February to 17 May 2020. 

Read more here

Priority target groups of adult education

Priority target groups of adult education

Which population groups participate more actively in adult education? What is the breakdown of adult education priority target groups by county, in Tallinn and Tartu cities? The analysis gives an overview of the potential priority target groups for adult education in Estonia.

Read more here

Analysis of social gaps

Analysis of social gaps

How great is inequality in Estonia and how is it divided? As part of the analysis, 11 person profiles were created to depict social gaps and inequality in Estonia. The profiles included a person’s household type, number of children in the household, as well as age, sex, education, ethnic nationality, place of residence, disability and its degree, income, employment, benefits received, distance between place of residence and place of work, health status and satisfaction with life.

Read more here.

Analysis of the economic impact of international students

Analysis of the economic impact of international students

How active are international students in the Estonian labour market? What is their impact on the local economy during studies and after graduation? How do international students differ from local students? The analysis focused on the participation of international students in the Estonian labour market and its impact on the economy.

Read more here.

Overviews of small regions and population groups

Overviews of small regions and population groups

How many people are affected by a planned new law or amendment? For an analysis of the impact of legislation, we compiled overviews of specific population groups. For example, we studied the coping of small ethnic groups and prepared overviews on the young. There were also summaries of social tax payments of sole proprietors compiled.

Read more here.

Emptying blocks of flats in Valga and Lüganuse rural municipalities and Kohtla-Järve city

Emptying blocks of flats in Valga and Lüganuse rural municipalities and Kohtla-Järve city

How many blocks of flats are there in Kohtla-Järve city and Lüganuse and Valga rural municipalities in which all or most dwellings are unoccupied? Can this question be answered by looking at electricity consumption data? We prepared an analysis, using place of residence registrations and electricity consumption data, to determine how many of the flats in the blocks of flats in Kohtla-Järve city and Lüganuse and Valga rural municipalities are empty.

Read more here.

Economic impact of foreign visitors in Tallinn

Economic impact of foreign visitors in Tallinn

How do foreign visitors affect employment and tax income in Tallinn? The analysis focused on the consumption of goods and services by foreign visitors to Tallinn and assessing its impact on the city’s economy, value added, gross domestic product, number of enterprises and employees as well as tax income.

Read more here.

 

Risks, opportunities and economic impact of excise policy in border trade conditions

Risks, opportunities and economic impact of excise policy in border trade conditions

Why did the difference in alcohol prices in Estonia and Latvia become unbearable, making it popular to buy alcohol in Latvia? How could this purchase behaviour be changed and how should policies be designed to avoid such situations?

Read more here.

Statistics on electoral districts

Statistics on electoral districts

How many people in my electoral district are affected by the most common election promises? How many old-age pensioners, kindergarten-aged children or public transport users are in my electoral district compared to the rest of Estonia? 

Read more here.

Labour market application

Labour policy indicators

What is the labour market situation of males and females, Estonians and other ethnic nationalities, inhabitants of Tallinn and Tartu, people with higher or basic education, parents and people without children? How have employment, unemployment and other employment indicators changed in population groups? 

Read more here.