Data-driven Methods to Study Individual Choice Behaviour: with Applications to Discrete Choice Experiments and Participatory Value Evaluation Experiments

Since its origins in the 1970s, choice modelling has become an important field of study in diverse areas, including transportation, health economics, environmental economics and marketing. Choice modellers have developed several methods to collect and model individual choices. Researchers and policymakers use such methods to understand...

Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments

We propose three procedures based on association rules (AR) learning and random forests (RF) to support the specification of a portfolio choice model applied in data from complex choice experiment data, specifically a Participatory Value Evaluation (PVE) choice experiment. In a PVE choice experiment, respondents choose a combination of...

Stepping into the shoes of the policy maker: Results of a Participatory Value Evaluation for the Dutch long term COVID-19 strategy

Background: The COVID-19 outbreak early 2020 was followed by an unprecedented package of measures. The relative calmness of the pandemic early 2022 provides a momentum to prepare for various scenarios. Objectives: As acceptance of COVID-19 measures is key for public support we investigated citizens’ preferences towards imposing measures in four...

Citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income

Overweight and obesity are a growing problem, especially among people with a low income. Policymakers aspire to alleviate this problem by implementing publicly funded projects. This study has three aims: 1) to explore citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income, 2...