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Janne Salonen

Biographic Data

ID3937263
NAMEJanne Salonen
GIVEN NAMESJanne
FAMILY NAMESalonen
SIGNATURESALONEN J
AFFILIATIONSFinnish Centre for Pensions
ORCID0000-0002-0595-6226
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS9
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Predicting disability pension risk among public‐sector employees in Finland: A new evaluation tool for employers

    Open Access•Petra Sohlman, Risto Louhi et al.•ARTICLE•International Social Security…•2025

    In this study, we use unique research data to investigate the risk of exit from the workforce on the grounds of the award of a disability pension under the statutory public‐sector pension scheme in Finland. Statistical analysis yields two indicators: the risk for permanent disability retirement and the critical duration of sickness absence days in public‐sector occupations. The analysis is based on a logistic regression model where the outcome is…

  • Modelling old‐age retirement: An adaptive multi‐outcome LAD‐lasso regression approach

    Open Access•Tero Lähderanta, Janne Salonen et al.•ARTICLE•International Social Security…•2022•References: 1

    Using unique administrative register data, we investigate old‐age retirement under the statutory pension scheme in Finland. The analysis is based on multi‐outcome modelling of pensions and working lives together with a range of explanatory variables. An adaptive multi‐outcome LAD‐lasso regression method is applied to obtain estimates of earnings and socioeconomic factors affecting old‐age retirement and to decide which of these variables should b…

  • The diversity of transitions during early adulthood in the Finnish labour market

    Antti Saloniemi, Janne Salonen et al.•ARTICLE•Journal of Youth Studies•2020•Cited by: 3•References: 8

    This study explores young Finns’ transition pathways into education and work over a 9-year period (from the age of 18 to 26), with a special focus on difficulties with labour market attachment. The data were derived from national registers comprising all men (29,383) and women (27,784) born in 1987. Their labour market attachment was investigated using trajectory analysis with four variables (employment, education, unemployment, social security a…

  • The risk of under‐insurance in the Finnish statutory pension scheme for self‐employed workers: A trajectory analysis

    Open Access•Janne Salonen, Lasse Koskinen et al.•ARTICLE•International Social Security…•2020

    Using unique data on the contribution base, we investigate under‐insurance within the statutory pension scheme for self‐employed workers in Finland. Under‐insurance is defined as the difference between pension‐declared income and tax‐declared income. The trajectory modelling technique applied has allowed us to estimate the levels of under‐insurance for different subgroups and to identify possible explanatory factors. Under‐insurance is found to b…

  • Gender Inequalities in Early Career Trajectories and Parental Leaves: Evidence from a Nordic Welfare State

    Open Access•Kati Kuitto, Janne Salonen et al.•ARTICLE•Social Sciences•2019•Cited by: 6•References: 27

    Parental leaves are, besides unemployment, the main reason for career breaks in early career. Despite the progress in recent decades towards more equal sharing of childcare between mothers and fathers, the labour market risk due to parenting remains mainly with women. In this article, we analyse how parental leaves relate to early career trajectories of young Finnish men and women. Using longitudinal register data for 2005-2016 from the Finnish C…

  • Gender Inequalities in Early Career Trajectories and Parental Leaves: Evidence from a Nordic Welfare State

    Open Access•Kati Kuitto, Janne Salonen et al.•ARTICLE•Social Sciences•2019•Cited by: 6•References: 27

    Parental leaves are, besides unemployment, the main reason for career breaks in early career. Despite the progress in recent decades towards more equal sharing of childcare between mothers and fathers, the labour market risk due to parenting remains mainly with women. In this article, we analyse how parental leaves relate to early career trajectories of young Finnish men and women. Using longitudinal register data for 2005-2016 from the Finnish C…

  • The diversity of transitions during early adulthood in the Finnish labour market

    Antti Saloniemi, Janne Salonen et al.•ARTICLE•Journal of Youth Studies•2020•Cited by: 3•References: 8

    This study explores young Finns’ transition pathways into education and work over a 9-year period (from the age of 18 to 26), with a special focus on difficulties with labour market attachment. The data were derived from national registers comprising all men (29,383) and women (27,784) born in 1987. Their labour market attachment was investigated using trajectory analysis with four variables (employment, education, unemployment, social security a…

  • Gender Inequalities in Early Career Trajectories and Parental Leaves: Evidence from a Nordic Welfare State

    Open Access•Kati Kuitto, Janne Salonen et al.•ARTICLE•Social Sciences•2019•Cited by: 6•References: 27

    Parental leaves are, besides unemployment, the main reason for career breaks in early career. Despite the progress in recent decades towards more equal sharing of childcare between mothers and fathers, the labour market risk due to parenting remains mainly with women. In this article, we analyse how parental leaves relate to early career trajectories of young Finnish men and women. Using longitudinal register data for 2005-2016 from the Finnish C…

  • The diversity of transitions during early adulthood in the Finnish labour market

    Antti Saloniemi, Janne Salonen et al.•ARTICLE•Journal of Youth Studies•2020•Cited by: 3•References: 8

    This study explores young Finns’ transition pathways into education and work over a 9-year period (from the age of 18 to 26), with a special focus on difficulties with labour market attachment. The data were derived from national registers comprising all men (29,383) and women (27,784) born in 1987. Their labour market attachment was investigated using trajectory analysis with four variables (employment, education, unemployment, social security a…

  • The risk of under‐insurance in the Finnish statutory pension scheme for self‐employed workers: A trajectory analysis

    Open Access•Janne Salonen, Lasse Koskinen et al.•ARTICLE•International Social Security…•2020

    Using unique data on the contribution base, we investigate under‐insurance within the statutory pension scheme for self‐employed workers in Finland. Under‐insurance is defined as the difference between pension‐declared income and tax‐declared income. The trajectory modelling technique applied has allowed us to estimate the levels of under‐insurance for different subgroups and to identify possible explanatory factors. Under‐insurance is found to b…

  • Modelling old‐age retirement: An adaptive multi‐outcome LAD‐lasso regression approach

    Open Access•Tero Lähderanta, Janne Salonen et al.•ARTICLE•International Social Security…•2022•References: 1

    Using unique administrative register data, we investigate old‐age retirement under the statutory pension scheme in Finland. The analysis is based on multi‐outcome modelling of pensions and working lives together with a range of explanatory variables. An adaptive multi‐outcome LAD‐lasso regression method is applied to obtain estimates of earnings and socioeconomic factors affecting old‐age retirement and to decide which of these variables should b…

  • Predicting disability pension risk among public‐sector employees in Finland: A new evaluation tool for employers

    Open Access•Petra Sohlman, Risto Louhi et al.•ARTICLE•International Social Security…•2025

    In this study, we use unique research data to investigate the risk of exit from the workforce on the grounds of the award of a disability pension under the statutory public‐sector pension scheme in Finland. Statistical analysis yields two indicators: the risk for permanent disability retirement and the critical duration of sickness absence days in public‐sector occupations. The analysis is based on a logistic regression model where the outcome is…

Economics (4 works) · Demographic economics (3 works) · Labour economics (3 works) · Political science (3 works) · Retirement, Disability, and Employment (3 works) · Actuarial science (2 works) · Demography (2 works) · Demography (2 works) · Earnings (2 works) · Economic growth (2 works)

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