Research

Our research advances and applies modern econometric and machine learning methods to study key questions in education, gender, and labor economics, as well as other areas.

Here you can find further information about selected completed and ongoing research projects of the group.

Econometrics

Econometrics

Methods for evaluating dynamically assigned programs

  • Bernd Fitzenberger, Aderonke Osikominu, and Marie Paul, “The Effects of Training Incidence and Planned Training Duration on Labor Market Transitions”, Journal of Econometrics, 235(1), 2023, 256-279, doi: 10.1016/j.jeconom.2022.03.004.
  •  Aderonke Osikominu, “The Dynamics of Training Programs for the Unemployed”, IZA World of Labor, 277, 2016, doi: 10.15185/izawol.277
  •  Aderonke Osikominu, “Quick Job Entry or Long-Term Human Capital Development? The Dynamic Effects of Alternative Training Schemes”, Review of Economic Studies, 80 (1), 2013, 313-342, doi: 10.1093/restud/rds022

Other

  • Volker Grossmann and Aderonke Osikominu, “Let the Data Speak? A Skeptic's Guide to Instrumental Variable Estimations in Macro-Development Economics”, German Economic Review, 20 (4), 2019, e831-e851, doi: 10.1111/geer.12192

Education

Education

Choice of STEM at university and returns to STEM education

  • Aderonke Osikominu, Volker Grossmann, and Marius Osterfeld, “Sociocultural Background and Choice of STEM Majors at University”, Oxford Economic Papers, 72 (2), 2020, 347-369, doi: 10.1093/oep/gpz034
  • Aderonke Osikominu, Gregor Pfeifer and Tim Ruberg, “Characterizing the Returns to STEM: Marginal and Policy Relevant Treatment Effects”, CEPR Discussion Paper No. 20112, 2025

Causal effects of educational reforms and features of education systems

  • Aderonke Osikominu, Gregor Pfeifer and Kristina Strohmaier, “When Parents Get to Decide: Choice of Secondary School Track and Student Outcomes”, 2024 (early version: IZA Discussion Paper No. 14033)

Gender

Gender

Gender differences in (expectations about) pay

  • Stephanie Briel, Aderonke Osikominu, Gregor Pfeifer, Mirjam Reutter, and Sascha Satlukal, “Gender Differences in Wage Expectations: The Role of Biased Beliefs”, Empirical Economics, 62, 2022, 187-212, doi: 10.1007/s00181-021-02044-0
  • Aderonke Osikominu, Gregor Pfeifer, and Sascha Satlukal, “Perceived Wages and the Gender Gap in STEM Fields”, 2023, CEPR Discussion Paper No. 12719

Abortion liberalization

Labor

Labor

Unemployment, job search, and participation in labor market programs

  • Rafael Lalive, Aderonke Osikominu, Lorenzo Pesaresi, Jérémy Zuchuat and Josef Zweimüller,“Duration Dependence in Finding a Job: Applications, Interviews, and Job Offers”, RFBerlin Discussion Paper Series 15/25
  • Bernd Fitzenberger, Aderonke Osikominu, and Marie Paul, “The Effects of Training Incidence and Planned Training Duration on Labor Market Transitions”, Journal of Econometrics, 235(1), 2023, 256-279, doi: 10.1016/j.jeconom.2022.03.004.
  • Aderonke Osikominu, “The Dynamics of Training Programs for the Unemployed”, IZA World of Labor, 277, 2016, doi: 10.15185/izawol.277
  • Martin Biewen, Bernd Fitzenberger, Aderonke Osikominu, and Marie Paul, “The Effectiveness of Public Sponsored Training Revisited: The Importance of Data and Methodological Choices”, Journal of Labor Economics, 32 (4), 2014, 837-897, doi: 10.1086/677233
  • Aderonke Osikominu, “Quick Job Entry or Long-Term Human Capital Development? The Dynamic Effects of Alternative Training Schemes”, Review of Economic Studies, 80 (1), 2013, 313-342, doi: 10.1093/restud/rds022

 

Health

Health

Machine Learning and AI

Machine Learning and AI

Other

Other

  • Fabienne Helfer, Volker Grossmann, and Aderonke Osikominu, “How Does Immigration Affect Housing Costs in Switzerland?”, Swiss Journal of Economics and Statistics, 159, 2023, doi: 10.1186/s41937-023-00110-1.