I am a senior researcher at the Centre of Expertise HRTech of Rotterdam University of Applied Sciences and a Research Associate at the University of Amsterdam. My main interests are experimental economics, behavioral economics and environmental economics.
I have a research master in neuroeconomics from Maastricht University and a PhD in behavioral economics from Vrije Universiteit Amsterdam. My PhD thesis entitled Improving flood preparedness using insights from economic experiments can be found here.
Currently, I am working on a project about sustainable matching platforms for the logistics sector, as well as two VR projects. (photo: Ljilja Suvajdžić)
PhD in Behavioral Economics, 2021
Vrije Universiteit Amsterdam
MSc in Cognitive and Clinical Neuroscience (Research Master, Neuroeconomics), 2016
Maastricht University
BSc in Liberal Arts & Sciences, 2014
Tilburg University
Some economic interactions are based on trust, others on monetary incentives or monitoring. In the tax compliance context, the monitoring approach creates compliance based on audits and fines (enforced compliance), in contrast to the trust-based (voluntary compliance) approach, which is based on taxpayers’ willingness to comply. Here, we examine how changes in taxation regarding platform economy revenues affect intended labor supply on such platforms. New EU legislation, effective from 2023, will mandate data sharing between platforms and tax authorities across Europe, thus resulting in increased monitoring. We investigate how this upcoming shift in monitoring power affects the intended use of platforms and how it may interact with users’ trust. We use a survey among platform workers (N = 626) in the Netherlands to examine views of the proposed regulation change, corrected for the proportion of platform income and several measures of trust. We experimentally manipulate information by either informing participants about the upcoming monitoring change or not. Results show that informing respondents about the change negatively affects expected supply of labor, and this effect is independent of respondents’ trust. We discuss the policy implications of these results.
Many individuals experience problems understanding and preparing for low-probability/high-impact risk, like natural disasters and pandemics – unless they experience these events, yet then it is often too late to avoid damages. Individuals with recent disaster risk experience are, on average, better prepared. This seems to be mediated through emotions and a better understanding of the consequences. In this study, we use immersive virtual reality (VR) technology to examine whether a simulated disaster can stimulate people to invest in risk reducing measures in the context of flooding, which is one of the deadliest and most damaging natural disasters in the world. We investigate the possibility to boost risk perception, coping appraisal, negative emotions and damage-reducing behavior through a simulated flooding experience. We find that participants who experienced the virtual flood invest significantly more in the flood risk investment game than those in the control group. The investments in the VR treatment seem to decrease after four weeks but not significantly so.
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Testing a new hurricane scale. With Nadia Bloemendaal, Hans de Moel, Diana Amasino and Jennifer Collins. [in-principle-acceptance]
For the ‘Greater Good’, Please Choose A. With Lenka Fiala and Sulagna Dasgupta. [in review]
Supply of willful ignorance. With Ivan Soraperra and Joël van der Weele. [R&R]