Study title

Pension Barometer 2017

Dataset ID Number

FSD3216

Persistent identifiers

https://urn.fi/urn:nbn:fi:fsd:T-FSD3216
https://doi.org/10.60686/t-fsd3216

Data Type

Quantitative

Authors

• Kautto, Mikko (Finnish Centre for Pensions)
• Kuivalainen, Susan (Finnish Centre for Pensions. Research)

Abstract

The study surveyed Finnish knowledge and opinions on retirement provision and trust in the pension system in Finland. Kantar TNS Finland conducted the survey, and it was commissioned by the Finnish Centre for Pensions. This is the first study in the study series.

The first questions surveyed the respondents' knowledge about and interest in the pension system as well as whether they received sufficient information regarding retirement and pensions. Their preferred media channels for information related to pensions were examined (e.g. newspapers and magazines, radio and television, social media, internet sites, brochures). The respondents were also asked to evaluate how well they would get by economically after retiring.

Next, the respondents were presented with a set of attitudinal statements regarding, for instance, the guaranteed minimum pension, earnings-related pensions, the effect of rising life expectancy on retirement age, disability pension, and the respondents' trust in the pension system in Finland.

Background variables included gender, age (categorised), education level, economic activity and occupational status, income group, NUTS3 region of residence, household composition, and the political party the respondent would vote for if the parliamentary elections were held at the time of the survey.

Keywords

occupational pensions; pension benefits; pensions; private personal pensions; retirement; retirement age; social security; state retirement pensions; trust

Topic Classification

• Social sciences (Fields of Science Classification)
• Retirement (CESSDA Topic Classification)
• Social behaviour and attitudes (CESSDA Topic Classification)
• Social conditions and indicators (CESSDA Topic Classification)

Series

Pension Barometers

Distributor

Finnish Social Science Data Archive

Access

The dataset is (B) available for research, teaching and study.

Data Collector

• Kantar TNS Finland

Time Period Covered

2017

Collection Dates

2017-05-15 – 2017-05-27

Nation

Finland

Geographical Coverage

Finland

Analysis/Observation Unit Type

Individual

Universe

Finnish-speaking persons aged 15 - 79 residing in Finland (excluding the Åland Islands)

Time Method

Longitudinal: Trend/Repeated cross-section

Sampling Procedure

Probability: Multistage

The data were collected as part of a phone omnibus survey conducted by Kantar TNS Finland. The sample was formed using multistage stratified sampling. The total number of interviews was 1,002.

Collection Mode

Telephone interview: Computer-assisted (CATI)

Research Instrument

Structured questionnaire

Data File Language

Downloaded data package may contain different language versions of the same files.

The data files of this dataset are available in the following languages: English and Finnish.

FSD translates quantitative data into English on request, free of charge. More information on ordering data translation.

Number of Cases and Variables

41 variables and 1002 cases.

Data Version

1.0

Completeness of Data and Restrictions

To prevent identification, variables "age" (bv2_b) and "municipality of residence" (bv7) were removed during archiving; categorised variables for age and region of residence were left in the data. For the same reason, the largest values in the "number of children in the household" variable (bv17_lk) were categorised into a single category (4 and over).

Weighting

The data include a weight variable that weights the data according to target population distributions of age, gender and region of residence (NUTS2 classification with "Helsinki-Uusimaa" divided into two categories: "Capital region (Helsinki, Espoo, Vantaa, Kauniainen)" and "Other Uusimaa".

Citation Requirement

The data and its creators shall be cited in all publications and presentations for which the data have been used. The bibliographic citation may be in the form suggested by the archive or in the form required by the publication.

Bibliographical Citation

Kautto, Mikko (Finnish Centre for Pensions) & Kuivalainen, Susan (Finnish Centre for Pensions): Pension Barometer 2017 [dataset]. Version 1.0 (2018-06-14). Finnish Social Science Data Archive [distributor]. https://urn.fi/urn:nbn:fi:fsd:T-FSD3216

Deposit Requirement

Notify FSD of all publications where you have used the data by sending the citation information to user-services.fsd@tuni.fi.

Disclaimer

The original data creators and the archive bear no responsibility for any results or interpretations arising from the reuse of the data.

Related Materials

Nurmela, Sakari (2017). Eläkebarometri 2017 [verkkodokumentti]. https://www.etk.fi/wp-content/uploads/elakebarometri_2017.pdf [viitattu 7.6.2018].

Related Publications

Nurmela, Sakari (2017). Eläkebarometri 2017 [verkkodokumentti]. https://www.etk.fi/wp-content/uploads/elakebarometri_2017.pdf [viitattu 7.6.2018].

Öhman, Siiri (2020). Luottamus Suomen eläkejärjestelmää kohtaan. Puoluekannan ja iän yhteys luottamukseen eläkeiän toimeentuloa ja eläkejärjestelmän kestävyyttä kohtaan. Turku: Turun yliopisto. Kandidaatintutkielma.

Mäkelä, Sonja (2022). Suomen eläkejärjestelmään kohdistuva epäluottamus. Turku: Turun yliopisto. Pro gradu -tutkielma.