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Pension Day 2023

Netspar is pleased to announce the next Netspar Pension Day, which will take place on Thursday, October 12, 2023 in the ‘Jaarbeurs’ building in Utrecht, next to Utrecht central railway station. We invite contributions from all areas of Netspar’s 2023-2027 Knowledge Agenda. Topics of interest related to pensions, aging, and retirement include, but are not limited to:

  • Well-being and welfare of older age groups
  • Savings and insurance
  • Inequality and poverty
  • Optimal (sustainable) investments for pension funds
  • Measurement/management of investment risks (e.g., inflation, interest, climate)
  • Communication surrounding retirement and old age
  • Household decision-making related to pensions and retirement
  • Financial advice, fintech, privacy, ethical considerations
  • Labor market participation/performance of older age groups
  • Housing and healthcare of the elderly
  • Institutions, governance, and solidarity
  • Issues surrounding the transition to the new Dutch pension system

We invite researchers to submit their paper (or extended abstract) by Friday, August 25, 2023 at the latest.
Please fill in the register tab, if you choose “submitter” you can upload your paper.

Not only senior researchers, but particularly also junior researchers are very welcome to submit their work. We will try to find appropriate discussants for all accepted papers, which means that you will be requested to send us a full paper by Thursday, September 28, giving your discussant enough time to prepare.

The feedback on previous Netspar Pension Days has shown that the comments of discussants are very valuable to presenters, so we would highly appreciate if you could indicate your willingness to act as a discussant (even if you do not submit a paper).

 

The latest version of the program including papers and slides can be downloaded here.

 

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Locatie

Beatrix theater/building
Jaarbeursplein 6
3521 AL Utrecht
The Netherlands

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This event is open to (employees of) Netspar Partners and academics.

Soortgelijke bijeenkomsten

IPW – International Pension Workshop 2026

Call for PapersDEADLINE FOR PAPER SUBMISSION: MARCH 3, 2026Netspar stimulates innovative academic research in all disciplines within the social sciences related to pensions, aging and retirement. Netspar invites contributions from all areas of Netspar’s research program for the Netspar International Pension Workshop, to be held on June 17-19, 2026.

Netspar Introduction for academic researchers

Netspar offers financial support (research grants ranging from €20k to €350k) for independent scientific research and shares it through publications, events, webinars, and education. We maintain a network of industry partners and academic researchers that reflects the diversity of our range of interests, and we stimulate the cooperation between these two worlds. Keeping this network up to date is vital for achieving our goals. Have you ever considered participating? Are you perhaps hesitant, or overwhelmed by all the information? On December, 11th you can attend a no-obligation 45-minute online information session on Netspar’s activities. We will focus on the research possibilities and our grants process.

Kansenweging en de implicaties voor levenscyclus beleggen – Martijn de Vries – After lunch webinar

Veel huishoudens beginnen laat met pensioensparen, beleggen relatief weinig van hun vermogen in risicodragende activa en kiezen bij pensionering slechts beperkt voor annuïtering. Deze patronen wijken sterk af van de voorspellingen van klassieke rationele levenscyclusmodellen en vormen daarmee drie hardnekkige pensioenpuzzels.In dit onderzoek worden deze keuzes opnieuw geanalyseerd, uitgaande van een ander gedragsmodel: probability weighting (kansenwegen), een kernonderdeel van de cumulatieve prospecttheorie. Binnen de financieel-economische literatuur blijkt dit gedragsmodel bijzonder succesvol in het verklaren van feitelijk menselijk gedrag. In dit onderzoek analyseer ik of probability weighting kan fungeren als unificerend mechanisme achter de drie hierboven beschreven empirische afwijkingen.

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