LISS panel informatie-evenement

Op 20 mei, van 13:00 tot 15:00 uur, organiseren ODISSEI en CentERdata een informatie-evenement over onderzoek met het LISS panel. Tijdens deze middag introduceren verschillende sprekers het LISS panel en lichten ze de onderzoeksmogelijkheden toe. Twee onderzoekers presenteren hun LISS projecten die zijn gefinancierd door de ODISSEI LISS grant. Het evenement is geschikt voor onderzoekers die geïnteresseerd zijn in werken met het LISS panel, waaronder onderzoekers die een aanvraag willen indienen voor de LISS Grant 2021 in mei is geopend. Bekijk het volledige programma hieronder (Engels).

De online registratie is gesloten, maar aanmelden is nog mogelijk via communications@odissei-data.nl.

Lees meer over het LISS panel en de LISS Grant 2021 op de LISS panel toegang pagina.

Programme:

13.00-13.15: Introducing the LISS panel, Prof. dr. Marcel Das (CentERdata)

Marcel Das is the director at CentERdata and a member of the Management Board of ODISSEI. He will give an introduction on how the LISS panel is organized, what the scientific importance of the panel is and how you can use it for your own research.

13.15-13.25: The ODISSEI LISS grant, Kasia Karpinska (ODISSEI)

Kasia Karpinska is Scientific Manager at ODISSEI. She will introduce the ODISSEI LISS grant.

13.25-13.55: Research with LISS:  “Stock Market Beliefs and Portfolio Choice in the General Population”, Christian Zimpelmann (IZA-Institute of Labor Economics)

13.55-14.00: Break

14.00-14.30: Research with LISS: “Skype or skip? Motivations, online self-disclosure, and well-being in online medical consultations”, Nadine Bol (Tilburg University)

Bol will present her research with the LISS panel for which she received a LISS grant in 2018. Find the abstract below.

14.30-14.45: New and innovative research in the  LISS panel, Joris Mulder (CentERdata)

Joris Mulder is the coordinator of the LISS panel and a researcher at CentERdata. He will present the possibilities of new and innovative research in the LISS panel by discussing several examples of earlier fielded research projects.

14.45: General Q&A on using the LISS panel and the LISS grant


Research project descriptions:

Stock Market Beliefs and Portfolio Choice in the General Population”, Christian Zimpelmann, IZA-Institute of Labor Economics

The amount of risk that households take when investing their savings has long-term consequences for their financial well-being. This study explores whether subjective beliefs about stock market returns explain individual investment behavior. I make use of a unique data set that comprises incentivized, repeated elicitations of stock market beliefs (in the LISS panel) and high-quality administrative asset data (by CBS) for a probability-based population sample. The results indicated that households with more optimistic stock market expectations hold more risk in their portfolio. Furthermore, changes in expectations over time are related to changes in portfolio risk, which demonstrates that cross-sectional correlations are not driven by a time-invariant third variable. The results suggest that stock market expectations are an important component of portfolio choice. More generally, the study shows that subjective beliefs can be reliably measured in surveys and are related to actual high-stakes decisions.

 “Skype or skip? Motivations, online self-disclosure, and well-being in online medical consultations” by Nadine Bol & Marjolijn Antheunis

Advances in computer-mediated communication have created new ways for doctors and patients to communicate, for example via video conferencing tools. The covid-19 pandemic forced a switch from regular face-to-face consultations to video consultations. As patients are often required to share intimate information about themselves during medical consultations, it is important to understand people’s willingness to disclose personal information during video consultations. We examined how people decide (not) to share intimate information and how they feel afterwards. We asked people to imagine having a video consultation with a doctor. We found that when people perceive benefits of video consultations and have trust in video conferencing tools, they are more willing to self-disclose. Also, when people are concerned about their privacy and expect communication problems, they are less willing to self-disclose. People who were more willing to self-disclose experienced more relief and less stress afterwards. However, when people were asked to reveal physically intimate information (i.e., showing their hip for which they have to undress), they were less likely to do so and experienced more stress as a result. This study shows that video consultations could be effective, but not for situations in which patients need to share physically intimate information.


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